This document provides information about the Sustainable Competitiveness Index, which ranks countries based on their performance across five pillars of sustainable competitiveness: natural capital, social capital, intellectual capital, resource management, and governance. It summarizes the methodology, key findings, and rankings. The top-ranked countries tend to be wealthy Northern European nations, while large emerging economies like China, India, and Russia are lower ranked. Higher scores on the index are generally correlated with higher GDP per capita.
The Global Sustainable Competitiveness IndexSolAbility
The Global Sustainable Competitiveness Index ranks 176 countries against their capabilities to create and sustain sustainable wealth based on 72 data indicators
Measuring country-level sustainability and the potential for sustainable development based on 109 quantitative & measurable indicators collected by the World Bank, various UN agencies, the IMF, and OECD
The Global Sustainable Competitiveness Report 2020SolAbility
The Global Sustainable Competitiveness Index evaluates the ability of 180 countries to compete & create wealth for its citizens in global markets without compromising future generations abilty to achieve the same or higher economic, social and environmental wealth levels.
The Global Sustainable Competitiveness Index 2019SolAbility
The true measurment of national competitiveness - a ranking of 180 countries based on 116 quantitative indicators, groupoed in 5 pilars: natural capital, resource intensity, social capital, intellectual captal, and governance.
The rankings are topped by Scandinavian countries, Germany is ranked #15, UK 17, US 34, China 37
The Global Sustainable Competitveness Index 2021SolAbility
The document provides an executive summary of the 2021 State of the World Report. It finds that the average global score on the Global Sustainable Competitiveness Index is 45.3 out of 100, indicating that the state of the world is not in a very good state currently. There is a large gap of 55 between the current global score and a perfect sustainable and competitive world. While trends are positive in some areas like social capital and intellectual capital, there remains a large potential gap to close to achieve a truly green, inclusive and circular global society.
The document proposes 12 key points for more sustainable and prosperous societies, including implementing a global climate tax, increasing democracy through referendums, improving governance systems, ensuring quality education and healthcare for all, regulating financial markets, achieving total equality, and establishing independent and impartial sources of information. It argues that sustainability and competitiveness are the same goal and can be achieved through management approaches that identify risks, costs, and benefits to maximize opportunities while minimizing threats. A Global Sustainable Competitiveness Index is suggested to measure success.
The Global Sustainable Competitiveness Index is the most comprehensive global ranking of the competitiveness of individual nation-economies in the present and into the future
Global Climate Tax: Feasibility EvaluationSolAbility
The most effective way to reduce GHGs to Zero - a global climate tax. Starting at U$50 per ton of CO2 equivalent , increasing by U$50 every year. 50% of tax revenues are redistributed in cash to each individual, the other 50% used to buld a renewable energy infrastructure
The Global Sustainable Competitiveness IndexSolAbility
The Global Sustainable Competitiveness Index ranks 176 countries against their capabilities to create and sustain sustainable wealth based on 72 data indicators
Measuring country-level sustainability and the potential for sustainable development based on 109 quantitative & measurable indicators collected by the World Bank, various UN agencies, the IMF, and OECD
The Global Sustainable Competitiveness Report 2020SolAbility
The Global Sustainable Competitiveness Index evaluates the ability of 180 countries to compete & create wealth for its citizens in global markets without compromising future generations abilty to achieve the same or higher economic, social and environmental wealth levels.
The Global Sustainable Competitiveness Index 2019SolAbility
The true measurment of national competitiveness - a ranking of 180 countries based on 116 quantitative indicators, groupoed in 5 pilars: natural capital, resource intensity, social capital, intellectual captal, and governance.
The rankings are topped by Scandinavian countries, Germany is ranked #15, UK 17, US 34, China 37
The Global Sustainable Competitveness Index 2021SolAbility
The document provides an executive summary of the 2021 State of the World Report. It finds that the average global score on the Global Sustainable Competitiveness Index is 45.3 out of 100, indicating that the state of the world is not in a very good state currently. There is a large gap of 55 between the current global score and a perfect sustainable and competitive world. While trends are positive in some areas like social capital and intellectual capital, there remains a large potential gap to close to achieve a truly green, inclusive and circular global society.
The document proposes 12 key points for more sustainable and prosperous societies, including implementing a global climate tax, increasing democracy through referendums, improving governance systems, ensuring quality education and healthcare for all, regulating financial markets, achieving total equality, and establishing independent and impartial sources of information. It argues that sustainability and competitiveness are the same goal and can be achieved through management approaches that identify risks, costs, and benefits to maximize opportunities while minimizing threats. A Global Sustainable Competitiveness Index is suggested to measure success.
The Global Sustainable Competitiveness Index is the most comprehensive global ranking of the competitiveness of individual nation-economies in the present and into the future
Global Climate Tax: Feasibility EvaluationSolAbility
The most effective way to reduce GHGs to Zero - a global climate tax. Starting at U$50 per ton of CO2 equivalent , increasing by U$50 every year. 50% of tax revenues are redistributed in cash to each individual, the other 50% used to buld a renewable energy infrastructure
This working paper describes evaluation as a growth industry in rapid transformation. Given the twin challenges of increased inequality and results orientation a new generation of evaluators will have to learn to surf a social impact wave. Given the rise of emerging market countries they will be called upon to move the center of gravity of the discipline south and east. Given the complexity of development challenges they will have to replenish the evaluation tool kit. Given the advent of big data and the spread of social networking they will tap the vast opportunities of a ‘plugged in’ world. Finally given the advent of results oriented networks they will forge resilient connections between public, private and civil society actors in pursuit of collective impact.
Equity and Inclusive Growth from a Development Perspective is essential reading for development and evaluation practitioners. It provides a concise history and critical examination of the concepts related to growth, poverty, and equity. These three foundational elements of contemporary development theory and practice are at the root of The Rockefeller Foundation’s movement toward advancing inclusive economies and building resilience.
The paper offers many insights about the measurement and evaluation of programs. It illuminates the debate surrounding ways to assess well-being beyond GDP. It covers the many ways to approach the measurement of poverty and the most commonly used indexes. Finally, it examines the important distinction between equity and equality and the policy implications of pursuing equity.
State-Owned Enterprises: Catalysts for public value creation?PwC
The motivations for state ownership can
wax and wane over time, but state-owned
enterprises appear to be an enduring feature of the economic landscape and will remain an influential force globally for some years to come. As such, it is
important to ensure that – whether held
nationally, regionally or locally – the state’s
investments actually deliver the societal
outcomes desired.
This document provides an overview and syllabus for a course on global competitiveness and strategic alliances. The course covers various topics related to competitiveness including frameworks for assessing competitiveness, developing competitiveness through quality, productivity, policy, technology and innovation. It also covers the global competitiveness of the Indian industry, strategic alliances and internationalization of Indian businesses. The first unit defines competitiveness in terms of productivity and discusses macroeconomic and business strategy perspectives as well as approaches to assessing competitiveness at international and national levels.
This document provides interviews with 18 entrepreneurs and executives who are leading businesses in Africa. It identifies five common strategies and themes among successful African entrepreneurs: 1) Returning home to make a difference after being educated abroad. 2) Recognizing business opportunities from Africa's strong economic growth. 3) Understanding and adapting to local customs and differences among African countries. 4) Creating brands that are distinctly African rather than international brands. 5) Seizing opportunities in the digital/technology sector to leapfrog competition. The interviews provide insights and lessons from entrepreneurs in various African countries and industries.
This special edition of the Economist -- in partnership with the Rockefeller Foundation and OECD -- explores long-term living standards, crises and their impact; technology and jobs; pensions, and migration and climate change.
This document summarizes key issues related to small-scale fisheries in South Africa:
- South Africa's fisheries legislation has historically excluded thousands of small-scale fishers, contributing to overfishing and depletion of stocks.
- New proposed legislation aims to formalize small-scale fisheries by allocating collective rights to fisher cooperatives, allowing them to target multiple species.
- However, most near-shore fish stocks are currently collapsed, so increased fishing pressure from an expanded small-scale sector risks further overfishing unless illegal fishing is addressed.
- Recognizing small-scale fisheries' social and economic roles while ensuring sustainability will be an ongoing challenge.
Assessing the Impact of Human Capital, Energy Consumption and Environment on ...ijtsrd
This paper investigates the impact of human capital development life expectancy and labor productivity , energy usage, and environmental factors carbon dioxide emissions on the per capita economic sustainable development in Malaysia. We employed the adjusted net savings per capita World Bank to represent the economically sustainable development path in Malaysia. With the assumptions of possible structural breaks along the years of between 1971, and 2013, the Zivot Andrews unit root test was performed on all of the variables concerned. Following the bounds test method, we proposed the auto regressive distributed lag ARDL model for the per capita sustainable development path in Malaysia based on the impact of human capital development and environmental factors. We found that life expectancy, carbon emissions and energy usage have mixed significant effects on adjusted net savings per capita in both the short run and long run in Malaysia. Faridah Pardi | Mohammad Yuzaimi Yasin | Sutina Junos "Assessing the Impact of Human Capital, Energy Consumption and Environment on Sustainable Development Model of Malaysia" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-6 , October 2020, URL: https://www.ijtsrd.com/papers/ijtsrd33586.pdf Paper Url: https://www.ijtsrd.com/economics/development-economics/33586/assessing-the-impact-of-human-capital-energy-consumption-and-environment-on-sustainable-development-model-of-malaysia/faridah-pardi
Resilient cities take diverse policy approaches to strengthen their resilience. The OECD report identifies 7 drivers of resilience: adaptive, robust, redundant, flexible, resourceful, integrated and inclusive. It provides examples of how cities like Tampere, Kobe, Lisbon and Toyama act adaptively based on lessons learned. Cities also pursue robustness through industrial diversification and reliable infrastructure. Having spare capacity for unexpected needs like Kobe demonstrates redundancy. Flexibility comes from long-term visions and entrepreneurship as in Cardiff, Ottawa and Kyoto. Being resourceful involves designating resilience units and fiscal autonomy as in New York and Yokohama. Collaboration across boundaries through multi-level governance and alliances promotes integration,
Capital Accumulation and Economic Growth in Nigeria “Endogenous Growth Approach”iosrjce
The paper adopts a simple endogenous growth model to evaluate the short and long-run impact of
Gross Fixed capital formation, human capital formation, savings and population growth rate on economic
growth in Nigeria. The Autoregressive Distributed Lag model indicates no short and long-run impact of these
variables on economic growth. Also using Pesaran Bound Test and Wald Coefficient Diagnostic Test, we found
no long-run impact of Gross Fixed capital formation, human capital formation, national saving, and population
growth rate on growth. Beside, the error term (et) is rightly signed but not significant and the speed of
adjustment towards equilibrium is very poor at 23.99percent. it is very clear that none of the independent
variables contributed greatly to the variations in the economic growth rate in both short-run and long run
because the impulse they emitted for the both periods fluctuated all through the periods under review with small
percentage impacts. For example the gross fixed capital formation produced 6.12 percent positive shocks for
the ten periods and -4.38 percent negative shocks on economic growth, while human capital formation produced
more negative shocks (-12.48)percent than positive (6.51) for the ten periods. Like-wise national savings and
population- emitted more negative impulse (-6.55, -7.72) than positive (5.89, 6.52) on growth respectively .we
recommend that government should provide an enabling environment that will encourage both domestic and
foreign investment and in addition human capital development through education and in-job training should be
encouraged
ECON4120_Research_Aid_And_Economic_GrowthZa Eng Mawi
The document presents an analysis of the effect of aid on various economic growth indicators. It studies the relationship between three types of aid (net aid received, net development assistance, and net UN flows) and eight indicators of economic growth (self-employment, secondary education enrollment, FDI, GDP, GINI index, labor force participation, new businesses, and poverty rate). Using data from 125 countries over 25 years, it estimates 48 regression models with and without controlling for country and year differences. The results found that net development assistance and net UN flows both had significant negative effects on secondary education enrollment, while net aid received had a significant positive effect on the GINI index and poverty rate.
This document discusses capital accumulation and economic growth in Somaliland. It begins with introducing capital accumulation as the growth of wealth through investments and profits. It then discusses the relevance of capital formation, including increasing productivity, national income, employment, and technological progress. Some reasons for low capital formation in developing countries are also examined, such as low incomes, lack of demand and supply of capital, and small market sizes. The sources of capital formation include savings, taxation, borrowing, and foreign investment. The document notes that capital formation in Somaliland is low compared to other countries due to constraints on the private sector like access to finance and infrastructure. It concludes by thanking the reader.
A Conceptual Model of National Skills Formation for Knowledge-based Economic ...Wesley Schwalje
Nearly all of the countries in the Arab World have adopted development of a knowledge-based economy as a policy objective to meet economic, political, and social objectives. Policies aimed at catalyzing knowledge-based economies are highly related to job creation, economic integration, economic diversification, environmental sustainability, and social development. While the advantages of knowledge-based economic development have become clearer, so too have the challenges of implementing related policies. A Conceptual Model of National Skills Formation for Knowledge-based Economic Development in the Arab World, a new report by Tahseen Consulting, developed in collaboration with the Sheikh Saud bin Saqr Al Qasimi Foundation for Policy Research, provides a framework and best practices from the Gulf Cooperation Council for helping governments align skills formation policies with knowledge-based economic development.
National Skills Formation for Knowledge-based Economic Development
Beginning in the 1990s, there was a shift in the Arab World away from viewing education and training systems as solely suppliers of skills toward an emphasis on the relationship between governments, educational systems, labor markets, and firms to generate demand for skills. By adopting demand-driven, ecosystem approaches to skills formation, Arab governments can align education and training systems with high-growth sectors of industry for knowledge-based economic development and achievement of accompanying economic, political, and social objectives.
While many international models of skills formation promote an exclusively market based approach, several Arab countries view investment in human capital as a political and economic goal in which significant government intervention is warranted. Yet, many previous attempts at skills formation policy have failed to address persistent skills development problems and do not present a comprehensive strategy to develop the skills of the national workforce as a whole. Despite the need for countries to adopt demand-driven approaches to skills formation, many of the countries in the region have pursued policies with no clear link between key stakeholders and specific economic outcomes.
“The changing demands of knowledge-based economic development create a need for interdependence and collaborative networks for effective skills formation, said Wes Schwalje, Chief Operating Officer of Tahseen Consulting and author of the report. “The widespread regional pursuit of knowledge-based economic development is driven by policies that envision the emergence of high skill, high wage economies that will create jobs. However, the global availability and growth of low cost, high skill workers potentially threatens the viability and economic fundamentals of sophisticated, innovation-driven knowledge-based industries taking root in the region if skills formation challenges are not addressed.”
An empirical assessment of the effect of corporate restructuring in the banki...Alexander Decker
This document summarizes a study that empirically assessed the effect of corporate restructuring in Nigeria's banking industry on economic growth from 1990-2009. The study found that foreign direct investment, aggregate capital to the private sector, pre-tax profits for all banks, and number of bank employees significantly influenced economic growth in Nigeria. It recommends that the Central Bank of Nigeria encourage banks to invest profits in the real economy to boost productive capacity and growth. The introduction provides background on banking industry restructuring through mergers and acquisitions in Nigeria and their theoretical drivers of economic growth.
Knowledge Society and Innovation. Strategies towards Knowledge Society.
Jumping the s-curve? Knowledge as critical production factor. Is capatalism over? Capability to be decisive for growth and development.
This document discusses factors that affect economic growth and competitiveness. It provides data on the fastest growing countries in 2015 according to GDP growth rates from the IMF. Papua New Guinea had the highest growth rate at 19.33%. It also discusses factors that influence short-run and long-run economic growth such as interest rates, fiscal policy, investment and productivity. Countries with the best competitiveness in 2015-2016 according to the Global Competitiveness Index are led by Switzerland, Singapore and the United States. Key factors that affect competitiveness include macroeconomic stability, infrastructure, human capital, innovation and technology readiness.
Factors affecting employment during crisis in private businesses in Kurdistan IJAEMSJORNAL
The main aim of this study is to investigate the critical factors that effecting employment during crisis in private businesses in Kurdistan. An empirical quantitative technique utilized to analyze the present research. The researcher applied a random sampling method, where all respondents had equal chances of being selected for the sample. The research was carried out at 18 private businesses in Erbil. The population of this research was approximately 341 employees, accordingly to cover the entire research population; 100 surveys were distributed but 84 forms were collected that were accomplished accurately. The results showed that the highest value was for economic factor this means that economic is strongly related to employment and has strong influence on employment during crisis in private businesses in Kurdistan.
The Sustainable Competitiveness Index 2015SolAbility
The sustainable competitiveness index compares countries based on the availability of natural capital, their capability in resource management, social cohesion, intellectual property, and governance.
The ratings can be used as alternative to the GDP or sovereign bond ratings
The Global Sustainable Competitiveness Index 2013SolaVis
Ranking the World's countries according to their real competitiveness: Sustainable competitiveness is the ability of a country to meet the needs and basic requirements of current generations while sustaining or growing the national and individual wealth into the future without depleting its natural, intellectual and social capital.
This working paper describes evaluation as a growth industry in rapid transformation. Given the twin challenges of increased inequality and results orientation a new generation of evaluators will have to learn to surf a social impact wave. Given the rise of emerging market countries they will be called upon to move the center of gravity of the discipline south and east. Given the complexity of development challenges they will have to replenish the evaluation tool kit. Given the advent of big data and the spread of social networking they will tap the vast opportunities of a ‘plugged in’ world. Finally given the advent of results oriented networks they will forge resilient connections between public, private and civil society actors in pursuit of collective impact.
Equity and Inclusive Growth from a Development Perspective is essential reading for development and evaluation practitioners. It provides a concise history and critical examination of the concepts related to growth, poverty, and equity. These three foundational elements of contemporary development theory and practice are at the root of The Rockefeller Foundation’s movement toward advancing inclusive economies and building resilience.
The paper offers many insights about the measurement and evaluation of programs. It illuminates the debate surrounding ways to assess well-being beyond GDP. It covers the many ways to approach the measurement of poverty and the most commonly used indexes. Finally, it examines the important distinction between equity and equality and the policy implications of pursuing equity.
State-Owned Enterprises: Catalysts for public value creation?PwC
The motivations for state ownership can
wax and wane over time, but state-owned
enterprises appear to be an enduring feature of the economic landscape and will remain an influential force globally for some years to come. As such, it is
important to ensure that – whether held
nationally, regionally or locally – the state’s
investments actually deliver the societal
outcomes desired.
This document provides an overview and syllabus for a course on global competitiveness and strategic alliances. The course covers various topics related to competitiveness including frameworks for assessing competitiveness, developing competitiveness through quality, productivity, policy, technology and innovation. It also covers the global competitiveness of the Indian industry, strategic alliances and internationalization of Indian businesses. The first unit defines competitiveness in terms of productivity and discusses macroeconomic and business strategy perspectives as well as approaches to assessing competitiveness at international and national levels.
This document provides interviews with 18 entrepreneurs and executives who are leading businesses in Africa. It identifies five common strategies and themes among successful African entrepreneurs: 1) Returning home to make a difference after being educated abroad. 2) Recognizing business opportunities from Africa's strong economic growth. 3) Understanding and adapting to local customs and differences among African countries. 4) Creating brands that are distinctly African rather than international brands. 5) Seizing opportunities in the digital/technology sector to leapfrog competition. The interviews provide insights and lessons from entrepreneurs in various African countries and industries.
This special edition of the Economist -- in partnership with the Rockefeller Foundation and OECD -- explores long-term living standards, crises and their impact; technology and jobs; pensions, and migration and climate change.
This document summarizes key issues related to small-scale fisheries in South Africa:
- South Africa's fisheries legislation has historically excluded thousands of small-scale fishers, contributing to overfishing and depletion of stocks.
- New proposed legislation aims to formalize small-scale fisheries by allocating collective rights to fisher cooperatives, allowing them to target multiple species.
- However, most near-shore fish stocks are currently collapsed, so increased fishing pressure from an expanded small-scale sector risks further overfishing unless illegal fishing is addressed.
- Recognizing small-scale fisheries' social and economic roles while ensuring sustainability will be an ongoing challenge.
Assessing the Impact of Human Capital, Energy Consumption and Environment on ...ijtsrd
This paper investigates the impact of human capital development life expectancy and labor productivity , energy usage, and environmental factors carbon dioxide emissions on the per capita economic sustainable development in Malaysia. We employed the adjusted net savings per capita World Bank to represent the economically sustainable development path in Malaysia. With the assumptions of possible structural breaks along the years of between 1971, and 2013, the Zivot Andrews unit root test was performed on all of the variables concerned. Following the bounds test method, we proposed the auto regressive distributed lag ARDL model for the per capita sustainable development path in Malaysia based on the impact of human capital development and environmental factors. We found that life expectancy, carbon emissions and energy usage have mixed significant effects on adjusted net savings per capita in both the short run and long run in Malaysia. Faridah Pardi | Mohammad Yuzaimi Yasin | Sutina Junos "Assessing the Impact of Human Capital, Energy Consumption and Environment on Sustainable Development Model of Malaysia" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-6 , October 2020, URL: https://www.ijtsrd.com/papers/ijtsrd33586.pdf Paper Url: https://www.ijtsrd.com/economics/development-economics/33586/assessing-the-impact-of-human-capital-energy-consumption-and-environment-on-sustainable-development-model-of-malaysia/faridah-pardi
Resilient cities take diverse policy approaches to strengthen their resilience. The OECD report identifies 7 drivers of resilience: adaptive, robust, redundant, flexible, resourceful, integrated and inclusive. It provides examples of how cities like Tampere, Kobe, Lisbon and Toyama act adaptively based on lessons learned. Cities also pursue robustness through industrial diversification and reliable infrastructure. Having spare capacity for unexpected needs like Kobe demonstrates redundancy. Flexibility comes from long-term visions and entrepreneurship as in Cardiff, Ottawa and Kyoto. Being resourceful involves designating resilience units and fiscal autonomy as in New York and Yokohama. Collaboration across boundaries through multi-level governance and alliances promotes integration,
Capital Accumulation and Economic Growth in Nigeria “Endogenous Growth Approach”iosrjce
The paper adopts a simple endogenous growth model to evaluate the short and long-run impact of
Gross Fixed capital formation, human capital formation, savings and population growth rate on economic
growth in Nigeria. The Autoregressive Distributed Lag model indicates no short and long-run impact of these
variables on economic growth. Also using Pesaran Bound Test and Wald Coefficient Diagnostic Test, we found
no long-run impact of Gross Fixed capital formation, human capital formation, national saving, and population
growth rate on growth. Beside, the error term (et) is rightly signed but not significant and the speed of
adjustment towards equilibrium is very poor at 23.99percent. it is very clear that none of the independent
variables contributed greatly to the variations in the economic growth rate in both short-run and long run
because the impulse they emitted for the both periods fluctuated all through the periods under review with small
percentage impacts. For example the gross fixed capital formation produced 6.12 percent positive shocks for
the ten periods and -4.38 percent negative shocks on economic growth, while human capital formation produced
more negative shocks (-12.48)percent than positive (6.51) for the ten periods. Like-wise national savings and
population- emitted more negative impulse (-6.55, -7.72) than positive (5.89, 6.52) on growth respectively .we
recommend that government should provide an enabling environment that will encourage both domestic and
foreign investment and in addition human capital development through education and in-job training should be
encouraged
ECON4120_Research_Aid_And_Economic_GrowthZa Eng Mawi
The document presents an analysis of the effect of aid on various economic growth indicators. It studies the relationship between three types of aid (net aid received, net development assistance, and net UN flows) and eight indicators of economic growth (self-employment, secondary education enrollment, FDI, GDP, GINI index, labor force participation, new businesses, and poverty rate). Using data from 125 countries over 25 years, it estimates 48 regression models with and without controlling for country and year differences. The results found that net development assistance and net UN flows both had significant negative effects on secondary education enrollment, while net aid received had a significant positive effect on the GINI index and poverty rate.
This document discusses capital accumulation and economic growth in Somaliland. It begins with introducing capital accumulation as the growth of wealth through investments and profits. It then discusses the relevance of capital formation, including increasing productivity, national income, employment, and technological progress. Some reasons for low capital formation in developing countries are also examined, such as low incomes, lack of demand and supply of capital, and small market sizes. The sources of capital formation include savings, taxation, borrowing, and foreign investment. The document notes that capital formation in Somaliland is low compared to other countries due to constraints on the private sector like access to finance and infrastructure. It concludes by thanking the reader.
A Conceptual Model of National Skills Formation for Knowledge-based Economic ...Wesley Schwalje
Nearly all of the countries in the Arab World have adopted development of a knowledge-based economy as a policy objective to meet economic, political, and social objectives. Policies aimed at catalyzing knowledge-based economies are highly related to job creation, economic integration, economic diversification, environmental sustainability, and social development. While the advantages of knowledge-based economic development have become clearer, so too have the challenges of implementing related policies. A Conceptual Model of National Skills Formation for Knowledge-based Economic Development in the Arab World, a new report by Tahseen Consulting, developed in collaboration with the Sheikh Saud bin Saqr Al Qasimi Foundation for Policy Research, provides a framework and best practices from the Gulf Cooperation Council for helping governments align skills formation policies with knowledge-based economic development.
National Skills Formation for Knowledge-based Economic Development
Beginning in the 1990s, there was a shift in the Arab World away from viewing education and training systems as solely suppliers of skills toward an emphasis on the relationship between governments, educational systems, labor markets, and firms to generate demand for skills. By adopting demand-driven, ecosystem approaches to skills formation, Arab governments can align education and training systems with high-growth sectors of industry for knowledge-based economic development and achievement of accompanying economic, political, and social objectives.
While many international models of skills formation promote an exclusively market based approach, several Arab countries view investment in human capital as a political and economic goal in which significant government intervention is warranted. Yet, many previous attempts at skills formation policy have failed to address persistent skills development problems and do not present a comprehensive strategy to develop the skills of the national workforce as a whole. Despite the need for countries to adopt demand-driven approaches to skills formation, many of the countries in the region have pursued policies with no clear link between key stakeholders and specific economic outcomes.
“The changing demands of knowledge-based economic development create a need for interdependence and collaborative networks for effective skills formation, said Wes Schwalje, Chief Operating Officer of Tahseen Consulting and author of the report. “The widespread regional pursuit of knowledge-based economic development is driven by policies that envision the emergence of high skill, high wage economies that will create jobs. However, the global availability and growth of low cost, high skill workers potentially threatens the viability and economic fundamentals of sophisticated, innovation-driven knowledge-based industries taking root in the region if skills formation challenges are not addressed.”
An empirical assessment of the effect of corporate restructuring in the banki...Alexander Decker
This document summarizes a study that empirically assessed the effect of corporate restructuring in Nigeria's banking industry on economic growth from 1990-2009. The study found that foreign direct investment, aggregate capital to the private sector, pre-tax profits for all banks, and number of bank employees significantly influenced economic growth in Nigeria. It recommends that the Central Bank of Nigeria encourage banks to invest profits in the real economy to boost productive capacity and growth. The introduction provides background on banking industry restructuring through mergers and acquisitions in Nigeria and their theoretical drivers of economic growth.
Knowledge Society and Innovation. Strategies towards Knowledge Society.
Jumping the s-curve? Knowledge as critical production factor. Is capatalism over? Capability to be decisive for growth and development.
This document discusses factors that affect economic growth and competitiveness. It provides data on the fastest growing countries in 2015 according to GDP growth rates from the IMF. Papua New Guinea had the highest growth rate at 19.33%. It also discusses factors that influence short-run and long-run economic growth such as interest rates, fiscal policy, investment and productivity. Countries with the best competitiveness in 2015-2016 according to the Global Competitiveness Index are led by Switzerland, Singapore and the United States. Key factors that affect competitiveness include macroeconomic stability, infrastructure, human capital, innovation and technology readiness.
Factors affecting employment during crisis in private businesses in Kurdistan IJAEMSJORNAL
The main aim of this study is to investigate the critical factors that effecting employment during crisis in private businesses in Kurdistan. An empirical quantitative technique utilized to analyze the present research. The researcher applied a random sampling method, where all respondents had equal chances of being selected for the sample. The research was carried out at 18 private businesses in Erbil. The population of this research was approximately 341 employees, accordingly to cover the entire research population; 100 surveys were distributed but 84 forms were collected that were accomplished accurately. The results showed that the highest value was for economic factor this means that economic is strongly related to employment and has strong influence on employment during crisis in private businesses in Kurdistan.
The Sustainable Competitiveness Index 2015SolAbility
The sustainable competitiveness index compares countries based on the availability of natural capital, their capability in resource management, social cohesion, intellectual property, and governance.
The ratings can be used as alternative to the GDP or sovereign bond ratings
The Global Sustainable Competitiveness Index 2013SolaVis
Ranking the World's countries according to their real competitiveness: Sustainable competitiveness is the ability of a country to meet the needs and basic requirements of current generations while sustaining or growing the national and individual wealth into the future without depleting its natural, intellectual and social capital.
This document discusses sustainable competitiveness among nations. It begins by summarizing two approaches to measuring competitiveness - the US Council on Competitiveness, which focuses on productivity outputs, and the World Economic Forum, which examines facilitating factors or inputs. It then discusses how sustainability refers to avoiding degradation of natural resources and social conditions. Sustainable development meets present and future needs through innovation. The UN adopted 17 Sustainable Development Goals in 2015. The document argues sustainability requires ongoing innovation and technology upgrading. It supports the World Economic Forum's approach of examining sustainability impacts for individual technologies. It will measure sustainable competitiveness outputs through a joint productivity/sustainability index, and inputs through the Forum's 12 competitiveness pillars.
Advancing developmente in Uganda - Pardee report 8-11-15 FINALJordan Farrar
This document evaluates development policy choices for Uganda from 2016-2021 and their impacts out to 2040 using the International Futures modeling platform. It finds that improving basic human development in areas like fertility reduction, education, agriculture, and water/sanitation should be the top priority. In addition, improving governance, growing the economy in a sustainable manner, and managing expectations around new oil revenues are important. Pursuing these policies simultaneously can significantly reduce poverty and increase GDP per capita by 2040 compared to current trends. However, the document notes Uganda will likely not achieve its goal of upper middle income status by 2040 without even more aggressive and integrated development efforts.
Challenge: Science, Technology, and Innovation and the Triple Bottom LineOlivier Serrat
Science, technology, and innovation have become part of everyday life. However, there are instances where they encourage the use and abuse of natural resources. How might science, technology, and innovation be harnessed for people, planet, and profit to deliver sustainable methods and minimize environmental harm? How might business lend a hand?
Africa and the 2030 Sustainable Development Agenda: the Role of Financial Mar...SDGsPlus
The document summarizes key points from a presentation given by Mahmoud Mohieldin at the 21st Annual Conference of the African Securities Exchanges Association on the role of financial markets in achieving the 2030 Sustainable Development Agenda in Africa. The presentation discusses trends in African economic growth, infrastructure gaps, opportunities for private sector investment in sustainable development, and mechanisms for stock exchanges to promote financing of SDG initiatives through reporting guidelines, sustainability products, and mobilizing private capital.
The Global Sustainable Competitiveness Index ranks the World's nations according to their current level of sustainable competitiveness and prospect for achieving sustainable development based on data monitored and collected by the World Bank, the IMF, and various UN agencies
Bahrain Responsible Business Survey PresentationLeena Olaimy
This document summarizes the results of the 2012 Bahrain Responsible Business Survey. It finds that while respondents understand corporate social responsibility and sustainability, there is a gap between understanding and practice. Respondents want to work for ethical organizations but executives do not view CSR and sustainability as strategic. The survey also found that CSR and sustainability can increase profits, employee motivation and pride when implemented strategically. However, most organizations fail to monitor their CSR and sustainability performance. The document concludes that CSR and sustainability will be important in the 21st century and all stakeholders must work collectively to advance it.
14 Development Definitions And Measuring DevelopmentEcumene
There are several ways to measure development including economic, social, and environmental indicators. Economic indicators include GDP, GNP, and PPP but have limitations in capturing how wealth is distributed or environmental/social impacts. Social indices like the HDI and HPI provide a more holistic view by combining factors like education, health, and standard of living. Multiple component indices are useful for comparisons but don't show imbalances in their underlying indicators. An accurate overall assessment requires considering various factors from different perspectives.
The Sustainable Development Goals: Reality & ProspectsSDGsPlus
The document provides an overview of the Sustainable Development Goals (SDGs) and the World Bank Group's role in supporting their implementation. It discusses:
1) A look back at the progress and lessons learned from the Millennium Development Goals (MDGs).
2) Key differences between the MDGs and the more comprehensive SDGs, which apply universally across countries.
3) The World Bank Group's focus areas of implementation, financing, and improving data availability to support achieving the SDGs.
World Development Report 2024 (“WDR2024” or “the Report”) will examine the difficulties of economic
growth in middle-income countries and propose practical policy recommendations. Constituting about 75
percent of the world’s population, the 108 middle-income countries today account for about 40 percent of
global economic activity, 50 percent of the world’s extremely poor people, and 60 percent of global carbon
dioxide emissions.1
The Report will summarize the growth record of economies at different income levels. The recent record
suggests that middle-income countries have experienced a sharper slowdown during the last decade (Kose
and Ohnsorge 2023).
2 It will assess the evidence for and against the existence of a “middle-income trap,” a
notion that many countries remain in a narrow income band over long periods of time (Spence 2011) and
their policies and institutions do not adapt to structural characteristics of middle-income economies (Gill
and Kharas 2015). The term “middle-income trap” is popular in policy circles as a mechanism to galvanize
countries into action and recalibrate their growth strategy and economic institutions to make them as
dynamic collectively as their firms and entrepreneurs are individually.
The Report will then analyze the determinants of structural change using the insights of advances in
Schumpeterian growth theory to bear on the problems faced by middle-income countries today. The main insights are related to competition among enterprises, social mobility among households, and the structural transformations needed for steady energy transitions. By itself, each of these insights is not novel; taken together, they have the potential to provide a framework to guide policy makers concerned with boosting economic growth.
Perhaps the most useful part of the Report for policy makers in emerging markets and developing economies
will be the third section, which will present specific remedies based both on development successes and struggles during middle-income transitions. Figure 1 outlines the proposed structure of the Report. Box 1 outlines how this Report builds on previous World Development Reports that have examined various dimensions of economic growth.
WORLD DEVELOPMENT REPORT 2024 - Economic Growth in Middle-Income Countries.Christina Parmionova
The Report will summarize the growth record of economies at different income levels. The recent record suggests that middle-income countries have experienced a sharper slowdown during the last decade.
The document discusses ways the OECD can stimulate private sector investment to achieve the UN Sustainable Development Goals. It proposes developing an SDG index that institutional investors can use to target needs. It also proposes an SDG tracker tool to map how public and private finance contributes to the goals. The tool would increase transparency and help identify gaps. It would analyze descriptions of projects and company reports to map them to the SDGs. This could help maximize impact and guide investment toward the greatest needs.
Competitiveness Indicators for Emerging EconomiesConrad Sebego
This document discusses developing competitiveness indicators for emerging economies. It outlines that current indicators do not adequately reflect developing economies and their progress towards goals like the UN's Millennium Development Goals. It proposes developing new indicators that benchmark emerging economies against each other based on their shared challenges and goals. This would allow for more accurate assessment of economic prosperity and potential in developing contexts. The document outlines the objectives, scope, approach and expected outcomes of research to develop these new indicators. It also discusses linking the indicators to government policy and poverty measurement.
This document discusses building knowledge economies and measuring their success. It notes that knowledge is now the principal source of wealth, unlike in the past when natural resources were most important. While GDP growth is needed, it does not ensure broader societal benefits like trust, security and happiness. Alternative metrics try to capture these, like the UN's Human Development Index. Linking investments in knowledge to economic and social returns is challenging due to variability in impacts and benefits over different timescales. The EU is making some progress through comparisons across its 27 countries.
This document provides a summary of economic concepts related to Pakistan's economy including:
- Economic development refers to improving economic, political, and social well-being and has a relationship with the environment. In contrast, economic growth is a rise in market productivity and GDP.
- Pakistan faces challenges to economic development like market imperfections, price distortions, and unemployment. Its key resources include natural gas, coal, gold, and minerals administered by agencies like the Pakistan Mineral Development Corporation.
- Challenges include an energy crisis caused by factors like economic instability, aging infrastructure, and mismanagement of resources. Human and natural resources could be better utilized to alleviate poverty and increase development.
HLEG thematic workshop on Measurement of Well Being and Development in Africa...StatsCommunications
HLEG thematic workshop on Measurement of Well Being and Development in Africa, 12-14 November 2015, Durban, South Africa, More information at: www.oecd.org/statistics/measuring-economic-social-progress
The document introduces the Capital Approach framework for analyzing sustainability and development. It views a government as managing a portfolio of four critical capital stocks - natural, human, social, and economic. These stocks contribute to societal well-being over time if their depletion is monitored and substitutions are developed. The framework helps broaden thinking about resource management, investments, future generations, and impacts of trends on sustainable development.
Similar to The Global Sustainable Competitiveness Index 2014 (20)
The Natural Capital Index 2021 is topped by Laos. Countries in South America and Scandinavia also score highly due to factors like abundant water availability, humid climates, and natural resource deposits. Regional spreads find South America has the highest Natural Capital, followed by Scandinavia and North America. The global average Natural Capital score is 45.2 out of 100, indicating stress on natural resources worldwide. Many indicators show deteriorating trends, threatening further declines without meaningful environmental protection policies.
What gets measured gets done sustainability implementationSolAbility
From the makers of 3 DJSI Super-sector Leaders
This document provides guidance on integrating corporate sustainability through a structured approach. It discusses key success factors such as having a clear vision, following a structured process, fully integrating sustainability into management systems, and maintaining a bottom-line focus. The document outlines a 4-stage implementation cycle of understanding issues, developing goals and tools, implementation, and tracking performance. It provides examples of analysis and project management tools that can support sustainability integration. Overall, the document advocates for taking an analytical, structured approach to sustainability that is focused on tangible business benefits.
Sustainability in Korea: Performance & Trends 2013SolAbility
This document discusses corporate sustainability and governance issues in Korea in 2013. It provides an overview of trends showing increasing management awareness of sustainability but stagnating governance practices. Financial returns for sustainable companies significantly outperformed the market. The document also analyzes issues around controlling family structures ("Chaebols") of large Korean conglomerates that concentrate power and hamper independent oversight.
Climate Change, Energy, & Businesses - Quantifying the Financial Implications...SolAbility
Climate change is a reality. The political failure to direct the global energy infrastructure to an alternative system away from fossil fuels will lad to significantly higher energy costs to businesses.
This report analysis the cost impacts of energy scarcity and the increasing frequency and ferocity of climate-change-induced extreme weather events on businesses.
Sustainability & stock returns: the correlationSolAbility
The document presents findings from SolAbility's 5th annual sustainability assessment of Korean companies. It shows that companies with higher sustainability scores as measured by SolAbility's methodology have consistently outperformed market benchmarks over 3 and 5 year periods, demonstrating that sustainable investing can achieve superior long-term financial returns. The methodology focuses on evaluating actual sustainability performance and impacts rather than reporting, in order to best predict business success.
SolAbility conducted an ESG analysis of Korean companies from 2007-2009. They found that the 50 most sustainable companies significantly outperformed the market, returning 397% compared to 128% for the index. Average sustainability scores improved across economic, environmental and social criteria as management systems advanced. However, performance remained lower for environmental issues compared to economic and social factors. Electronic companies showed higher sustainability than sectors catering primarily to domestic markets.
ESG research and corporate sustainability assessment proof the correlation between sustainable management integration and superior financial performance
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...Social Samosa
The Modern Marketing Reckoner (MMR) is a comprehensive resource packed with POVs from 60+ industry leaders on how AI is transforming the 4 key pillars of marketing – product, place, price and promotions.
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
End-to-end pipeline agility - Berlin Buzzwords 2024Lars Albertsson
We describe how we achieve high change agility in data engineering by eliminating the fear of breaking downstream data pipelines through end-to-end pipeline testing, and by using schema metaprogramming to safely eliminate boilerplate involved in changes that affect whole pipelines.
A quick poll on agility in changing pipelines from end to end indicated a huge span in capabilities. For the question "How long time does it take for all downstream pipelines to be adapted to an upstream change," the median response was 6 months, but some respondents could do it in less than a day. When quantitative data engineering differences between the best and worst are measured, the span is often 100x-1000x, sometimes even more.
A long time ago, we suffered at Spotify from fear of changing pipelines due to not knowing what the impact might be downstream. We made plans for a technical solution to test pipelines end-to-end to mitigate that fear, but the effort failed for cultural reasons. We eventually solved this challenge, but in a different context. In this presentation we will describe how we test full pipelines effectively by manipulating workflow orchestration, which enables us to make changes in pipelines without fear of breaking downstream.
Making schema changes that affect many jobs also involves a lot of toil and boilerplate. Using schema-on-read mitigates some of it, but has drawbacks since it makes it more difficult to detect errors early. We will describe how we have rejected this tradeoff by applying schema metaprogramming, eliminating boilerplate but keeping the protection of static typing, thereby further improving agility to quickly modify data pipelines without fear.
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
State of Artificial intelligence Report 2023kuntobimo2016
Artificial intelligence (AI) is a multidisciplinary field of science and engineering whose goal is to create intelligent machines.
We believe that AI will be a force multiplier on technological progress in our increasingly digital, data-driven world. This is because everything around us today, ranging from culture to consumer products, is a product of intelligence.
The State of AI Report is now in its sixth year. Consider this report as a compilation of the most interesting things we’ve seen with a goal of triggering an informed conversation about the state of AI and its implication for the future.
We consider the following key dimensions in our report:
Research: Technology breakthroughs and their capabilities.
Industry: Areas of commercial application for AI and its business impact.
Politics: Regulation of AI, its economic implications and the evolving geopolitics of AI.
Safety: Identifying and mitigating catastrophic risks that highly-capable future AI systems could pose to us.
Predictions: What we believe will happen in the next 12 months and a 2022 performance review to keep us honest.
Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...Aggregage
This webinar will explore cutting-edge, less familiar but powerful experimentation methodologies which address well-known limitations of standard A/B Testing. Designed for data and product leaders, this session aims to inspire the embrace of innovative approaches and provide insights into the frontiers of experimentation!
Analysis insight about a Flyball dog competition team's performanceroli9797
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
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The 3rd Global Sustainable Competitiveness Index
Foreword
The data series available for countries world-wide is dream of every analyst – corporate research analysts, be they working on finances or ESG. In the corporate World, comparable data is hardly ever available. On a country-level, thanks to International Institutions such as the various UN agencies and the World Bank – such data is available. Comparable. Over time. That means – there is no reason to keep considering the success and wealth of nations solemnly on GDP.
The Gross Domestic Product (GDP) only measures a financial output in a certain moment in time. Most economic activities that lead to the GDO have certain adverse side-effects. Pollution, depletion, inequality, health impacts on the natural environment, the resources, and on the socio-cultural fabric of a country can diminish the very basis of current economic output, measured in GDP.
In addition many vital resources – water, energy, but also minerals and metals – are not renewable and becoming increasingly scarce. Yet none of these “non- financial” aspects are factored into the commonly expression of wealth of Nations, the GDP. In other words – the GDP is a very limited expression of a national balance sheet. GDP growth rates and changes in growth rates are often used as an indicator for an economy’s well-being and development. However, due to the lack of integrating all aspects of development – natural resources, efficiency, innovation capabilities and social cohesion - current GDP levels have limited informative value regarding the future potential of achieving and sustaining inclusive development and creation of wealth.
The Sustainable Competitiveness Index is based on a competitiveness model that incorporates all relevant pillars of sustained growth and wealth creation of a nation – natural capital availability, government-led development direction, social cohesion, innovation and business capabilities. The Sustainable Competitiveness Index also integrates data trends over time to allow for a better expression of the future development potential. The results aim at serving as an alternative to the GDP, and to be used to analyse future development prospects and risks of nations.
We hope you enjoy reading and find this information useful.
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Table of Contents
1 EXECUTIVE SUMMARY 6
2 SUSTAINABLE COMPETITIVENESS 10
2.1 COMPETITIVENESS INDICATORS 13
2.2 INDEX CALCULATION 15
3 NATURAL CAPITAL 17
4 SOCIAL CAPITAL 21
5 INTELLECTUAL CAPITAL 25
6 RESOURCE MANAGEMENT 29
7 GOVERNANCE 33
8 SPOTLIGHT: UK VS. KOREA 37
9 RANKINGS AT A GLANCE 41
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1 Executive Summary
GDP - the measurement most often used to compare the “competitiveness” of nation-economies, is an insufficient measurement for risk and investment analysis. It is also insufficient to anticipate the future development of a given economy – GDP does not take into account developments, and it does not take into account the very financial implications of externalities (non-financial capital).
Methodology: The Sustainable Competitiveness Pyramid
The Sustainable Competitiveness model has been developed based on an integrated view of what characterises the current and the future state (i.e. competitiveness) of a nation-economy. Sustainable competitiveness is the ability to generate and sustain sustainable wealth without diminishing future capability of sustaining current wealth levels. That means that current wealth levels are not in danger of being reduced or diminished through over-exploitation of resources (natural and human), the lack of innovative edge required to compete in the globalised markets, or the discrimination, marginalisation or exploitation of segments of a society. The main pillars of sustainable competitiveness are:
• Natural Capital: the given natural environment within the frontiers of a country, including availability of resources, and the level of the depletion of those resources.
• Social Capital: health, equality, security, freedom and life satisfaction within a country
• Sustainable Innovation: the capability of a country to generate wealth and jobs through innovation and value-added industries in the globalised markets
• Resource Management: the efficiency of using available resources (human, technology, natural and financial resources), both domestic and imported) as a measurement of operational competitiveness in a resource-constraint World.
• Governance Capability: the ability of governing bodies and authorities to provide a framework for sustained and sustainable wealth generation
The Sustainable Competitiveness Index is based on 106 quantitative (statistical) indicators, grouped in 5 pillars. The quantitative indicators have been computed to comparable scores. To reflect recent developments, a trend analysis of performance data over the latest 5 years has been computed to a second score, allowing for a result that reflects both current state and future outlook of the sustainable competitiveness of a country.
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Sustainable World Map
Contrary to a GDP ranking, the Sustainable Competitiveness score is based on scoring current performance data as well as performance trends (increase/decrease) over the past 5 years. The combination of absolute comparison and trends reflects a momentary picture and indicates the future potential of a country. The Sustainable Competiveness Ranking 2014 reveals some surprising, and other not-so-surprising results:
• The Sustainable Competitiveness Index is topped by Scandinavian nations four the 3rd consecutive year. Only Japan (2nd breaks into the Nordic phalanx. The leaders are followed by other North-Western European Nations. The only non-European country in the top 20 are Canada (9), Japan (12), and New Zealand (14).
• The World’s largest economy, the US, is ranked 27th. Of the booming emerging economies, Brazil is ranked 28th, South Korea 30th, China 38th, Russia 48th, and India 126th.
• The Natural Capital sub-rankings are topped by countries with a rich biodiversity, favourable climate and sufficient water resources. Distinctions are also visible between the more industrialised countries, indicating that some countries will face lower obstacles with the coming raw material and energy scarcity
• Asian nations (Singapore, South Korea, Japan, and China) lead the Sustainable Innovation Competitiveness ranking. However, achieving sustained prosperity in these countries might be compromised by Natural Capital constraints and current high resource intensity/low resource efficiency
• The Social Cohesion ranking is headed by Northern European countries, indicating that Social Cohesion is the result of economic growth combined with some sort of social consensus
The Sustainable Competitiveness World Map. Dark areas indicate high competitiveness, light areas low competitiveness
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Higher sustainability equals higher wealth
The leading nations in the Sustainable Competitiveness ranking are mostly high- income countries, suggesting a certain correlation between Sustainable Competitiveness score and GDP per capita or income levels (high income = high sustainability). The same is true when visualizing average deviations of GDP per capita and the sustainable competitiveness score.
While a certain similarity between GDP rankings and sustainability levels seems to be visible, the correlation is superficial and refuted by too many exceptions to the rule. This indicates that the correlation is not from GDP to sustainable competitiveness, but rather from sustainable competitiveness to income levels. In other words: higher sustainable competitiveness can be associated with higher income levels.
However, the correlation or the influence of the sustainable competitiveness on GDP or income level is not immediate; it is time-deferred. Like every endeavour or project, an upfront investment is required to achieve desired results at a later stage. The seeds have to be planted, the plants need to be cared for before the harvest can be collected. In addition, the presence of large natural resources allows for exploitation of the natural capital (e.g. the oil-rich countries of the Middle East). However, such wealth is highly unsustainable and the wealth generated will diminish with depletion of resources in the absence of an adequate alternative sustainable economy and the underlying fundament requirements to achieve sustainable wealth that does not depend on the exploitation of non- renewable resources.
Regional spread
Scandinavia as a region achieves the highest Sustainable Competitiveness score, followed by other regions in the Northern hemisphere. Central Asia is the only region that doesn't fit into the North-South divide. From a European perspective, it is interesting to note that Eastern Europe achieves a higher score than Sothern Europe (which has nominally higher income levels). All African Regions are in the bottom half. The high-income countries of the Middle East have sustained their economic success with the exploitation of their mineral resources. The low Sustainable Competitiveness of the region raises concerns on whether those countries will be able to maintain or sustain their development level once there fossil fuel wealth diminishes.
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Regional spread of sustainable competitiveness scores
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Sustainable Competiveness – The 2014 Global Index
Due to changes in methodology, the results of the 2014 Index cannot be directly compared to 2013 results. 2013 ranking comparison therefor heave been omitted for the purpose of this report. Interested stakeholder can download the 2013 and 2013 Indexes here.
CountryRankScoreCountryRankScoreCountryRankScoreCountryRankScoreIceland156.2Russia4545.8Ethiopia8941.8India13338.0Sweden254.1Hungary4645.7Tanzania9041.7Jordan13437.9Finland353.6Venezuela4745.7Malta9141.7Togo13537.7Norway453.4Suriname4845.6Cameroon9241.5Angola13637.6Japan553.3Belgium4945.4Democratic Republic of Congo9341.4Zimbabwe13737.5Switzerland652.0Romania5045.4Timor-Leste9441.1Uganda13837.5Germany752.0Dominica5145.2South Africa9540.9Bangladesh13937.4Denmark851.6Belize5245.1Zambia9640.8Botswana14037.3Luxembourg951.6Brunei5344.8Gabon9740.7Lesotho14137.3Austria1051.3Uzbekistan5444.7Nicaragua9840.5Trinidad and Tobago14237.2New Zealand1151.2Bolivia5544.7Turkey9940.5Mali14337.1Canada1250.4Ecuador5644.5Bosnia and Herzegovina10040.5Madagascar14437.0France1350.3Armenia5744.4Thailand10140.5Iran14536.9Ireland1449.9Montenegro5844.4Libya10240.5Morocco14636.9Estonia1549.4Oman5944.2Kosovo10340.4Burkina Faso14736.8Costa Rica1649.4Kazakhstan6044.2Sierra Leone10440.3Malawi14836.7Slovenia1749.2Laos6144.1Mozambique10540.3West Bank and Gaza14936.6Lithuania1849.1Guyana6244.0Tunisia10640.3Fiji15036.4Uruguay1948.9United Kingdom6343.8Kuwait10740.0Namibia15136.3China2048.3Israel6443.7Maldives10839.9Guinea15236.1Brazil2148.2Paraguay6543.6Republic of Congo10939.9Guinea-Bissau15335.5Belarus2247.7Mauritius6643.5El Salvador11039.9Niger15435.5South Korea2347.6Serbia6743.4Cuba11139.8Central African Republic15535.4Singapore2447.4Mongolia6843.4Turkmenistan11239.7Afghanistan15635.4Poland2547.2Chile6943.4Azerbaijan11339.7Chad15735.2Netherlands2647.1Mexico7043.4Albania11439.6Sudan15835.1Czech Republic2747.0Ghana7143.4Jamaica11539.6Comoros15934.8Australia2847.0Bulgaria7243.0Liberia11639.4Swaziland16034.5Latvia2946.9Greenland7343.0Philippines11739.4Syria16134.4Slovakia3046.8Tajikistan7442.9North Korea11839.3Honduras16234.1USA3146.8Qatar7542.8Bahamas11939.2Gambia16333.9Croatia3246.7Greece7642.8Sri Lanka12039.2Pakistan16433.3Nepal3346.4Kyrgistan7742.7Equatorial Guinea12139.2Mauritania16533.0Italy3446.4Seychelles7842.7Egypt12239.1Burundi16633.0Indonesia3546.1Vietnam7942.3United Arab Emirates12339.1Haiti16732.9Bhutan3646.0Panama8042.3Cote d'Ivoire12438.9Bahrain16832.4Peru3746.0Papua New Guinea8142.3Lebanon12538.9Iraq16932.3Burma3845.9Cyprus8242.2Benin12638.8Eritrea17032.3Argentina3945.9Ukraine8342.2Rwanda12738.7Micronesia17132.1Colombia4045.9Moldova8442.1Macedonia12838.7South Sudan17232.1Spain4145.9Algeria8542.1Kenya12938.6Djibouti17332.1Malaysia4245.9Georgia8641.9Dominican Republic13038.4Hong Kong17432.0Saudi Arabia4345.9Guatemala8741.9Senegal13138.4Somalia17530.3Portugal4445.9Cambodia8841.8Nigeria13238.0Yemen17630.0
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Competitiveness Model
The three-dimensional sustainability model of reconciling the economy, the environment and the society is often used and applied in the corporate world to evaluate and manage sustainability issues and performance.
However, corporations are entities that operate in very different boundaries and with different goals than states and nation-economies. The elements of the model therefore have to be adapted to the characteristics of nations and their fundament of sustained prosperity.
While corporate or economic entities (depending on the nature of their business) are working with natural capital, they do not depend on the location of the capital (natural, human, financial) they utilize, and therefore can move their operations to where the external conditions are most favourable, both in terms of physical location (offices/factories) and markets, as well as in terms of business fields. Transport and international trade have made countries and people less dependent on their immediate environment through international trade of resources, including water. However, countries and population cannot simply move should fundamental resources (water, agricultural output) become scarce or the country inhabitable due to climate change. At the end of the day people rely on, and life off, the natural capital of their environment for better or worse.
The Sustainable Competitiveness Pyramid
Sustainable competitiveness - they ability to generate and sustain inclusive wealth and dignifying standard of life for all citizens in a globalised world of competing economies, consists of 5 key elements that interact and influence each other: natural capital (the given natural environment and climate, minus human induced degradation and pollution), social capital, intellectual capital (the ability to compete in a globalised market through sustained innovation), resource management (the ability to extract the highest possible value from existing resources (natural, human, financial), and governance (the framework given, normally by government policies & investments, in which a national economy operates).
Model of sustainable development often applied in ESG research
The Sustainable Competitiveness Pyramid
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Methodology changes
The competitiveness of a nation is influenced by a wide range of factors, i.e. is a fairly complex matter. We are striving to develop a model that can reflect all aspects that define the level of competitiveness. The methodology for the Sustainable Competitiveness is therefore constantly reviewed and has evolved over time. For the 2014 Index, the methodology has been overhauled significantly, with additional indicators added (71 in 2013, 104 in 2014) and a redesign of the Sustainable Competitiveness model based on past experiences, new research, data availability, and back-track analysis.
Due to the changes in the methodology, rankings of the 2103 and 2014 are not fully compatible. While vast majority of countries remain in the same bracket of ranking despite the changes methodology, direct comparison of rankings have a limited informative value. From an index point of view, it might be preferable to base rankings on the same methodology and data. However, we believe that delivering the most accurate result possible is more important than direct of year- on-year rankings comparison. The main changes that have been implemented as a result of the methodology review include changes to the model of competitiveness on which the calculation is based, and further adaptation to availability of congruent data series.
Changes to the sustainable competitiveness model:
The sustainable competitiveness model has been adapted based on review of the elements that characterise and influence sustainable competitiveness of nation-economy, and how those elements influence and impact each other. While the model used for the 2012/2013 Index consisted of 4 key elements – Natural capital, resource intensity, sustainable innovation & industrial development, and social cohesion, the 2014 Sustainable Competitiveness model is based on a pyramid with 5 levels. The basic conditions form the basis of the pyramid, on which the next level is built. Vice-versa, the higher levels of the pyramid are influencing the performance of the levels below.
The base level of the Pyramid is the Natural Capital (the given physical environment and resources) – the resources that feed the population, provide energy, and materials
The second level is the Social Capital of a country, the cohesion between generations, genders, income groups and other society groups. Social cohesion is required for the prosperous development of human capital, i.e. Social Capital is the provision of a framework that facilitates the third level of the pyramid
The third level is the Intellectual Capital, the fundament for the ability to compete and generate wealth in a globalised competitive market through design and manufacturing of value-adding products and service. It is the basis for management capabilities
The fourth level is Resource Management – the ability to use available resources at the highest possible efficiency - natural resources, human resources, intellectual resources, financial resources.
The fifth and highest level is Governance – the direction and framework provided by government interventions, expenditure, and investments. Government policies (or the absence of such policies) have strong influence and or impact on all lower levels of the Sustainable Competitiveness Pyramid.
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Additional Indicators
Big data also applies to statistical data. A sea of information is hidden in data related to a wide range of issues, and data series are becoming increasingly complete on a global level. The higher availability of comparable data across all or most nations of this World allows to integrate more meaningful indicators into the Sustainable Competitiveness Index. Addition, the change of the underlying competiveness model to a pyramid-shaped models with several levels requires more indicators to receive a balanced perspective on all 5 levels of the Sustainable Competitiveness Pyramid (Natural Capital, Social Capital, Intellectual Capital, Resource Management, and Governance). The Sustainable Competitiveness Index was based on 71 indicators (data series) grouped in 4 key issues. The 2014 Sustainable Competitiveness Index is composed of a total of 104 indicators grouped in 5 levels.
Selected comparison of 2013/2014 rankings
Ranking in the Sustainable Competitiveness can change over time. In 2014, the model applied and the methodology used to calculate the Sustainable Competitiveness Index has changed significantly. The underlying competitiveness model has been adapted to better reflect the characteristics of sustainable competitiveness, and the number of indicator (data series) has been increased from 74 in 2013 to 104 in 2014. The change of the methodology account for some changes in the rankings; however, most nations remained in the bracket of ranks despite the changes.
The new Sustainable Competitiveness Index Methodology leads to a more balanced results between small and large countries, as well as between high-income and low-income countries. Some of the gains/losses can be attributed to methodology changes. However, significant shifts – upwards or downwards - of the individual rankings have to be attributed to a combination of methodology changes and changing performance with newer data. Trend developments since the financial crisis in 2008 are only becoming fully visible now, and has significantly affected the ranking of countries hit hardest by the austerity policy applied following the crisis; e.g. the United Kingdom (UK), Spain, Greece, or Italy. At the same time, some non-OECD countries have moved forward visibly (e.g. China, Brazil, Costs Rica, and Uruguay).
Country 2014 2013 Iceland
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13 Sweden 2 2 Finland
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3 Norway 4 4 Japan
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12 Switzerland 6 5 Germany
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6 Denmark 8 1 Luxembourg
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14 Canada 12 7 France
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15 Ireland 14 8 Estonia
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18 Costa Rica 16 41 Slovenia
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16 Lithuania 18 23 Uruguay
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44 China 20 38 Country 2014 2013 Japan
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12 Germany 7 6 France
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15 China 20 38 Brazil
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28 South Korea 22 30 USA
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27 Italy 34 22 Spain
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19 Russia 45 48 UK
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25 India 133 126
The Top 20 nations of the 2104 Sustainable Competitiveness Index and 2013 rankings
Largest economies, rankings 2014 and 2013
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2.1 Competitiveness Indicators
The sustainable competitiveness model is based on a pyramid, where each level is required to support the next higher level. In the top-down direction, the different levels of the pyramid have influence the state of the lower levels.
Natural Capital
The natural capital is the base of the pyramid, and is defined by the characteristics of the given physical environment of a country. The natural capital consists of a mixture of size, population, geography, climate, biodiversity and availability of natural resources (renewable and non-renewable), as well as the level of depletion/degradation of the available resources. The combination of these factors and the level of depletion of the non-renewable resources due to human activity and climate change represents the potential for sustaining a prosperous livelihood for the population and the economy of a nation into the future.
Indicators used encompass water, forest and biodiversity indicators, agricultural indicators, land degradation and desertification, minerals and energy resources, pollution indicators and depletion indicators.
Social Capital
The third level of the competitiveness pyramid is the level of social cohesion within a country that is required for the economy to run free of interruptions. Nations and societies need some minimum level of social cohesion, coherence, and solidarity between different regions, between authorities and the people, between interest groups, between income levels, between generations, and between individuals. A lack of social cohesion in any of the above aspects leads to social gaps that eventually lead to increased crime, violence and insecurity that can seriously undermine the stability which an economy requires as a basis to thrive in the long run.
Indictors used cover health performance indicators, birth statistics, income differences, equal opportunities (gender, economic), freedom of press, human rights considerations, the level of crime against both possession and humans, and perceived levels of well-being and happiness.
Natural capital
Fossil energy prevalence (% of total)
Ecological consumption footprint Renewable freshwater availability/capita Electricity from hydropower (%) Forest area (% of total) Arable land (ha/capita) Potential arable land (ha/capita) Land degradation (% of total) Land at risk of desertification Extreme weather incidents Mineral reserves (per GNI and capita) Population density Cereal yield (kg per hectare) Natural resource depletion Endangered species Energy self-sufficiency Land area below 5 m (% of total) Population living below 5m (% of total) Average rainfall (mm) SO2 emissions per capita Biodiversity Benefit Index (GEF) Fertilizer consumption/ha Tourist attractiveness Ocean Health Index Population exposed to climate risks Primary education completion Social Capital Doctors per 1000 people Hospital bed availability Nurses per 1000 people Child mortality rate Birth per woman Teen moms Overweight Life satisfaction index Press Freedom Index Peace Index People reported to the police (%) Theft Homicide rate Prison population rate (per 100'000 people) Aging society Suicide rate Public health spending (% of total health) Women in parliament (% of MPs) Human rights index
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Intellectual Capital
The backbone of sustained economic success is the ability to continuously improve and innovate on all levels and throughout all institutions (not limited to the private sector). Sustaining competitiveness also requires a long-term view beyond momentary political interests or opinions, and long- term investments in crucial areas (education, infrastructure). Economies that are being deprived from investments sooner or later face decline, as some nations of the formerly “leading” West are currently learning the hard way. Indicators used for the innovation capability sub-index cover education levels, R&D performance indicators, infrastructure investment levels, employment indexes, and the balance of the agricultural-industrial-service sectors.
Resource Management
The more efficient a nation is using resources (natural, human, financial), the more wealth the country is able to generate. In addition, higher efficiency means smaller negative impacts of potential supply scarcity of resources (food, energy, water, minerals). Higher efficiency is also equal to lower cost per production unit throughout all sectors, private and public. Efficient use of resources and energy is an indicator for a nation’s ability to maintain or improve living standard levels both under a future business-as-usual scenario as well as under changing external economic or geo-political circumstances and influences that might affect raw material and resource prices.
Indicators used cover water usage and intensity, energy usage, intensity and energy sources, climate change emissions and intensity as well as certain raw material usage. However, global data availability for raw materials consumption other than steel is limited and therefore could not be included.
Governance
With the given physical environment and conditions in place, the sustained competitiveness of a country is determined by what the society and the economy is able to extract from available resources. This, in turn, is characterized by the framework provided by authorities. The framework of a country provides the basis for businesses and the social consensus. Governance indicator consist of both physical indicators (infrastructure) as well as non-physical attributes (business legislation, level of corruption, government investments, exposure to business and volatility risks, exposure to financial risks, etc.)
Data sources
Over 90% of the sustainable competitiveness indicators are purely quantitative performance indicators. Data sources were chosen according to reliability and availability of global Resource Management NOx emissions per GDP NOx emissions per capita Energy per GDP Energy per capita CO2 emissions / GDP CO2 emissions /capita Freshwater withdrawal rate Electricity consumption per capita Electricity from coal (%) Electricity from oil (%) Renewable electricity excluding hydro (%) Water productivity Steel usage efficiency per capita (T/CAPITA) Air pollution - death due to respiratory infections Urban air pollution Hazardous waste per GDP Obesity rate GNI per capita Electricity consumption / GDP Intellectual Capital Primary education completion Primary student repetitions Secondary education enrolment Tertiary education enrolment Mean school years R&D FTEs per million people R&D spending High tech exports Patent applications per 1 million people Patent applications (per GDP) New business registrations per 1 million people Trademark applications Manufacturing value added Education spending (% of government budget) Pupil-teacher ratio Pupil gender ratio Governance Mobile communication availability Transmission losses Internet availability TI CPI Index Bribery payments - % of businesses Employment in the service sector Employment in the manufacturing sector Unemployment Investments Austerity Index GINI coefficient (income distribution inequality) Income quintile ratio Quality of public services Poverty development Military spending (% of total government spending) Rail network per area & population Government debt Access to electricity Bank capital-asset ratio Market fluctuation exposure: stock trading volume (% of GDP) Market fluctuation exposure: company value (% of GDP) Imports (% of GDP) Population (total) GNI (total) Ease of doing business
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data. The largest percentage of indicators was derived from the World Bank’s indicator database, followed by data sets and indicators provided by various UN agencies.
2.2 Index calculation
Calculating scores from raw data
The raw data consist of numerical values. While values can be ranked against each other, they cannot be compared or added to other values (two apples plus three oranges are not equal to five pineapples). It is therefore necessary to extract a scalable and comparable score from the raw data as a first step.
When comparing raw data of variables of different countries, an “absolute best” cannot be defined. Scores therefore cannot be calculated against a real or calculated best score. For the purpose of this index, the raw data was analysed and ranked for each indicator individually. Trough calculation of the average deviation, the best performing 5% receive the highest score (100), and the lowest 5% receive the lowest possible score (0). Scores between the highest and the lowest 5% are linearly assigned relative to the best 5% and the worst 5%.
In a second step, the relative importance (weight) of the indicator is assessed against other indicators to calculate scores for the 5 sub-indexes. The Sustainable Competitiveness Index is calculated based on the sub-indexes, each weighted equally.
Data in perspective
Raw data has to be analysed in perspective: 5000 ha of forest might be a large area for a country like Andorra, but it is a small area in China. Depending on the indicator, the denominator might be the land area, the size of the population, or intensity measurements, e.g. GDP. For certain indicators, (e.g. energy efficiency, but also innovation indicators), the performance is evaluated against two denominators (normally population size and GDP) in order to gain a more altruistic picture of the national sustainability performance that incorporates economic and human efficiency.
Trend analysis: Integrating recent developments
Current data limits the perspective to a momentary picture in time. However, the momentary status is not sufficient to gain a true picture of the sustainable competitiveness, which is, by definition, forward-looking. Of equal importance are therefore the trend developments. Analysing trends and developments allows for understanding of where a country is coming from – and, more importantly - indicates the direction of future developments. Increasing agricultural efficiency, for example, indicates a country's capability to feed an increasing population in the future, or the opposite if the trends are decreasing. Where sufficient data series are available, the trend was calculated for the latest 5 years available and scored to evaluate the current level as well as the future outlook and sustainability potential of a country based on recent developments.
In order to reflect a dynamic performance picture, performance trends are analysed, scored and integrated in the Sustainable Competitiveness Index
Each level of the Sustainable Competitiveness Pyramid is equally important and therefore equally weighted
Calculating scores from raw data
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3 Natural Capital
The Natural Capital of a country consists of the natural physical environment. The Natural Capital model incorporates the essence of resources available that would allow a country to be completely self-sustaining: land, water, climate, biodiversity food production and capacity, and energy and mineral resources. In addition, the level of depletion or degradation of those resources that could endanger future self-sufficiency have to be taken into account.
The number of data points available related to natural capital from a variety of sources is nearly endless. The main challenge is therefore to select the most relevant and meaningful indicators amongst the wealth of available data. In order to define meaningful and relevant, the core issues affecting the sustainable use of natural capital have been defined in a natural capital model
Natural capital indicators
Based on the definition of the key natural capital areas, data series are chosen as indicators that reflect the sustainable competitiveness of a country based on its natural resources (natural capital).
The indicators have been analysed for the latest data point available as well as their development over time, reflecting the current status and the future outlook of Natural Capital availability (environmental sustainability) in relation to the size and population of a country. In addition, indictors that measure the depletion or degradation of the natural resources have taken into account. The combination of the indicators reflect the current status as well as the ability to sustain the population and the national economy.
As some of the above key areas are difficult to express in numerical values, quantitative scores compiled by GEF (Global Environment Facility, a sub-division of the UNEP) have been used for certain indicators, such as biodiversity potential, resource depletion, and the ecological footprint.
For the full list of indicators, refer to the methodology section.
Key elements of competitiveness drivers in the Natural Capital Sub- Index
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Natural Capital is the very basis on which a country is built: the physical environment and conditions. The ability to sustain the existing natural capital – the basis for sustained competitiveness - is composed of two main factors: the characteristics of the given geography and climate, combined with the extent of human activities that have or will affect the ability of natural factors to sustain the population and the economy.
A nation’s natural capital is a given value – it is as it is – i.e. there are limitations to improve or change the available natural capital. While it takes little to impair or exploit the natural capital, rebuilding or improving natural capital factors is difficult, and requires significant time and resources.
The availability of abundant water resources combined with tropical climate, rich biodiversity and availability of other natural resources leads to high scores. The highest scoring countries are located in tropical areas, underscoring the overarching importance of the availability of water. Many countries in these areas lack social, intellectual and governance capital. However, their Natural Capital would allow them to develop a sustainable competitiveness over time. A certain correlation with the level of human activities and population density can also be observed: large countries with a comparably small population density and rich biodiversity are on top of the Natural Capital ranking (North America, Scandinavia, Brazil).
The top ten according to natural capital indicators contains some surprising and not well known countries like Congo, Bhutan, Cameroon, Suriname, Guyana, and Laos, whereas the OECD’s representation in the top twenty is limited to Sweden, Canada and Norway. The ranking of India (169) and China (172) are affected by a combination of arid climate, high population density and depletion levels, raising concerns over those countries’ ability to self-sustain their large populations in the absence of well-planned counter-measurements.
The Natural Capital World Map. Dark areas indicate high, light areas low levels of natural capital
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Global Natural Capital Rankings
Scores and rankings of the level of Natural Capital by country:
CountryRankScoreCountryRankScoreCountryRankScoreCountryRankScoreDemocratic Republic of Congo174.6Ecuador4553.6Tajikistan8946.5Spain13338.6Bhutan267.5Belarus4653.3Guatemala9046.4Mongolia13438.4Suriname367.1Switzerland4752.9Trinidad and Tobago9146.1Namibia13538.0Cameroon466.6Croatia4852.6Dominican Republic9246.0Greenland13637.7Guyana565.8Mozambique4952.4Japan9345.7Turkey13737.6Central African Republic665.6Sudan5052.3Czech Republic9445.6Philippines13837.6Laos765.3USA5151.9Portugal9545.6Syria13937.5Burma864.8Montenegro5251.8Luxembourg9645.2Somalia14037.2Venezuela964.1Panama5351.6Nigeria9745.2Djibouti14137.1Papua New Guinea1064.0France5451.6Algeria9845.0United Arab Emirates14236.8Sweden1162.9Ghana5551.2Niger9944.9Kuwait14336.8Paraguay1262.8Burkina Faso5651.1Albania10044.9Eritrea14436.7Canada1362.2Bahamas5750.9Macedonia10144.8Malta14636.6Cote d'Ivoire1461.8Costa Rica5850.7Timor-Leste10244.7Kenya14536.6Sierra Leone1561.6Fiji5950.7Ukraine10344.6Qatar14836.5Equatorial Guinea1661.4Ethiopia6050.0Libya10444.5Turkmenistan14736.5Bolivia1760.7Malawi6149.9Honduras10544.5North Korea14936.1Republic of Congo1860.7Malaysia6249.6Seychelles10644.4Moldova15036.1Norway1960.4Slovakia6349.5Italy10744.4Yemen15135.9Brazil2060.2Ireland6449.4Uzbekistan10844.3United Kingdom15235.7New Zealand2160.1Mauritius6549.3South Africa10944.2Sri Lanka15335.5Zambia2260.0Nepal6649.3Afghanistan11043.6Belgium15435.1Guinea2359.5Dominica6749.2Romania11143.5Thailand15534.6Madagascar2459.1Denmark6849.2Maldives11243.1South Korea15634.6Iceland2558.8Lesotho6949.2Georgia11342.8Micronesia15734.2Finland2658.8Chad7049.1South Sudan11442.4Kosovo15833.3Colombia2758.1Uganda7149.0Armenia11542.2Israel15932.5Peru2857.6Australia7249.0Poland11642.1Pakistan16032.4Belize2957.3Bulgaria7348.9Brunei11741.6Bangladesh16132.0Angola3056.0Bosnia and Herzegovina7448.9Comoros11841.4Lebanon16231.5Guinea-Bissau3155.7Chile7548.9Vietnam11941.2Cyprus16331.3Estonia3255.7Indonesia7648.4Oman12041.2Haiti16431.3Uruguay3355.5Gambia7748.4Burundi12141.2Azerbaijan16531.0Mali3455.4Swaziland7848.4El Salvador12240.9Jamaica16630.7Latvia3555.1Cambodia7948.0Mauritania12340.8Iraq16730.7Austria3655.0Kyrgistan8048.0Netherlands12440.8Tunisia16830.6Gabon3755.0Slovenia8147.9Germany12540.8India16930.4Russia3855.0Hungary8247.8Botswana12640.6Iran17030.2Argentina3954.4Mexico8347.3Benin12740.6Singapore17130.1Lithuania4054.4Serbia8447.1Morocco12840.3China17229.8Tanzania4154.3Rwanda8547.1Egypt12940.1Jordan17327.1Liberia4254.2Greece8646.9Cuba13039.9Hong Kong17423.9Zimbabwe4354.1Togo8746.7Senegal13139.5West Bank and Gaza17519.9Nicaragua4453.6Saudi Arabia8846.6Kazakhstan13239.4Bahrain17618.7
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4 Social Capital
The Social Capital of a nation is the sum of social stability and well-being (perceived or real) of the entire population. Social Capita generates social cohesion and a certain level of consensus, which in turn delivers a stable environment for the economy, and prevents natural resources from being over- exploited. Social Capital is not a tangible value and therefore hard to measure and evaluate in numeric values. In addition to local historical and cultural influences, the social consensus in a society is affected by several factors: health care systems and their universal availability/affordability (measuring physical health); income and asset equality, which are correlated to crime levels; demographic structure (to assess the future generational balance within a society); and freedom of expression, freedom from fear and the absence of violent conflicts that are required for businesses to be able to generate value.
While establishing a direct connection of social cohesion to creating wealth and sustain economic development might be difficult to establish scientifically, a certain degree of equality, adequate health systems, freedom from fear and equal opportunities (whiteout which no American Dream ever would have been possible) are pre-requisites to achieve the same. The absence or deterioration of social cohesion in turn leads to lower productivity (health), rising crime rates, and potentially social unrest, paralysing economic development and growth.
Social Capital Indicators
The indicators selected to measure social cohesion have been selected from the 5 themes above (health, equality, crime, freedom and age structure). Some of these indicators (e.g. “happiness”) are qualitative, i.e. not based on performance data that can be measured. Instead, qualitative indicators from surveys and other sources compiled by recognised organisations were used to measure the qualitative aspects of social cohesion, including single indicators from the Happy Planet Index (New Economics Foundation), the Press Freedom Index (Reporters Without Borders), and the Global Peace Index (Institute for Economics and Peace).
For the full list of indicators, refer to the methodology section.
Key elements of competitiveness drivers in the Social Capital Sub- Index
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A certain level of social balance or social consensus is required to maintain a stable environment in which economic activities can take place. The higher the social capital of a country, the better the economy can flourish. The higher the social consensus, the higher the motivation of individuals to contribute to the wider good, i.e. the sustainable development of the nation – and the less likely they are to fall off the track into illegal path of wealth generation that eventually hurt the legal economy. The indicators used to calculate the Social Capital score of countries is composed of health and health care factors (availability and affordability), the quantitative equality within societies (income, assets, and gender equality), freedom indicators (political freedom, freedom from fear, individual happiness), crime levels, and demographic indicators.
The top-ten in the Social Capital sub-index is dominated by European countries from the North – all 5 Nordic countries, Luxembourg, Netherlands, and Germany. Interestingly (and despite gender deficits), Qatar (9th) and Kuwait (16th) make the top 20 thanks to health services available to all, low crime rates, and good public services. Japan (13th) is the only other non-European country in the Top-20. The USA, due to comparable high crime rates and low availability of health services, is ranked 100, just below Nicaragua and before Laos, while the UK is ranked 51. China is ranked 67, Brazil 85, and India 92. The highest ranked South American country is Argentina (56).
Most African nations, particular within and south of the Sahel zone, are at the bottom of this list, due to a combination of low availability of health care services and child mortality, limited freedom of expression and unstable human rights situation.
The Social Capital World Map. Dark areas indicate high, light areas low maturity of Social Capital
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Global Social Capital Rankings
Scores and rankings of the level of Social Capital Sub-Index by country:
CountryRankScoreCountryRankScoreCountryRankScoreCountryRankScoreDenmark163.1Lithuania4547.6Peru8940.3Zambia13334.8Luxembourg262.6Greenland4647.5Albania9040.0Guyana13434.2Iceland362.1Bulgaria4747.5Thailand9140.0Mauritania13534.2Finland460.0Nepal4847.4India9239.7Tanzania13633.8Netherlands559.7Hungary4947.3Bangladesh9339.7Burundi13733.5Norway658.8Kazakhstan5047.2Indonesia9439.5Cameroon13833.5Sweden758.0United Kingdom5146.9Bahamas9539.3Comoros13933.4Germany857.3Saudi Arabia5246.7Syria9639.2Bolivia14033.4Qatar957.2Italy5346.6Panama9739.0Uganda14133.3Switzerland1057.2Belarus5446.5Sierra Leone9839.0Guatemala14233.1Austria1156.6Bosnia and Herzegovina5546.4Nicaragua9939.0Chad14333.1Ireland1255.6Argentina5646.3USA10038.9Gabon14433.1Japan1355.3Israel5746.2Laos10138.8Chile14532.8Belgium1455.2Timor-Leste5846.1Liberia10238.7Guinea-Bissau14632.7Spain1555.1Malta5946.0Philippines10338.4Togo14732.6Kuwait1655.0Uruguay6045.2Paraguay10438.2Djibouti14832.4Slovenia1754.5Moldova6145.1Papua New Guinea10538.2Rwanda14932.2Poland1853.0Ecuador6244.4Sri Lanka10637.9Namibia15032.0Cyprus1952.6Dominica6344.4Niger10737.9Angola15131.9Croatia2052.6Latvia6444.3Mozambique10837.5Kenya15231.9Oman2152.4Malaysia6544.3Pakistan10937.5Haiti15331.8Czech Republic2252.3Costa Rica6644.3Venezuela11037.5Iraq15431.7Romania2351.9China6744.0Burkina Faso11137.3Guinea15531.5Kosovo2451.7Macedonia6844.0Trinidad and Tobago11237.1Gambia15630.9France2551.7Seychelles6943.6Georgia11337.1Cote d'Ivoire15730.8Serbia2650.8Kyrgistan7043.6West Bank and Gaza11437.1Iran15830.4Australia2750.7Libya7143.4Belize11537.0South Sudan15930.2Brunei2850.3Algeria7243.4Ghana11637.0Zimbabwe16030.1New Zealand2950.2Bhutan7343.0Benin11736.9Lesotho16129.2Singapore3050.2Turkey7442.5Malawi11836.8Honduras16228.8South Korea3150.1Ukraine7542.4El Salvador11936.3Yemen16328.3Slovakia3250.0North Korea7642.3Afghanistan12036.3Botswana16428.2Maldives3349.7Greece7742.0Russia12136.2Equatorial Guinea16528.1Canada3449.4Cuba7841.9Bahrain12236.0Micronesia16627.8Tajikistan3549.2Azerbaijan7941.9Madagascar12336.0Sudan16727.8 Uzbekistan3649.0Mexico8041.8Burma12435.8Eritrea16827.3Estonia3748.9Egypt8141.5Dominican Republic12535.6Democratic Republic of Congo16926.3Lebanon3848.9Suriname8241.4Colombia12635.4Somalia17026.3Montenegro3948.6Jamaica8341.3Mauritius12735.3Fiji17126.0Mongolia4048.6Turkmenistan8440.9South Africa12835.1Nigeria17225.7Portugal4148.4Brazil8540.8Cambodia12935.0Republic of Congo17324.9Armenia4248.4Vietnam8640.8Morocco13035.0Central African Republic17424.9Jordan4348.3Tunisia8740.7Ethiopia13135.0Swaziland17521.5United Arab Emirates4447.6Senegal8840.5Mali13234.8Hong Kong17620.6
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5 Intellectual capital
Intellectual Capital is the third level of the Sustainable Competitiveness Pyramid. In order to create and sustain wealth, jobs and income for the population is required. Providing jobs requires producing goods and providing services that people or businesses, domestically or abroad, are willing to buy. This in turn requires products and services to be competitive in the global market in terms of quality and price. To maximise the domestic benefits, the value chain is ideally covered within the boundaries of a national economy (the largest share of adding value is contained in processing raw materials to finished products).
Sustainable competitiveness therefore requires high R&D capabilities (based on solid education), and business entrepreneurship. In addition, sustained economic success requires a healthy balance between service and manufacturing sectors. Over-reliance on the service sector sooner or later leads to diminishing growth potential and loss of knowledge.
Measuring innovation
Quality and availability of education in the past are an indication for today’s R&D and innovation capabilities, and today’s education performance reflect future innovation capabilities. Strength and depth of R&D activities is the basis for the development of value-added technologies and services. Educational performance indicators are therefore highly important to predict sustained innovation and competitiveness. Additional indicators include performance data on R&D (employees in R&D functions, capital allocation, and patent applications).
Further indicators relate to the actual business entrepreneurship – new business registration, trademark applications, and the health of the balance between agricultural, industrial and service sectors of an economy.
For the full list of indicators, refer to the methodology section.
Key elements of competitiveness drivers in the Intellectual Capital (innovation capabilities) Sub- Index
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Intellectual Capital is the basis for innovation capability and sustainable economic competitiveness. The indicators used for assessing these criteria are composed of data points relating to education, innovation capabilities, and entrepreneurship. Countries with a high score in this ranking are more likely than others to develop (or sustain) successful economies through research and know- ledge driven industries, i.e. high-value added industries, and therefore achieve higher growth rates. All indicators used to assess the innovation capability and sustainable competitiveness have been scored against size of the population or against GDP in order to gain a full picture of the competitiveness, independent of the size of a country. In addition, developments (tends) of performance indicators have also been taken into account. Key observations of the Intellectual Capital ranking include:
The innovation and competitiveness ranking is dominated by the North- Eastern Asian nations and OECD countries from the Northern hemisphere.
The innovation and competitiveness ranking is topped by Asian countries (South Korea, Singapore, China, Japan in order of ranking),
Most other Top-20 places are occupied by European economies (Germany, Slovenia, Luxembourg, all Nordic countries) except for Israel (9) and the USA (13)
Brunei (7) and Saudi Arabia (19) are the surprise representation of the Middle East in the Top 20. Iran (34) and Oman (45) and are also ranked in the top 50
Malaysia (24) and Costa Rica (33) are the highest ranked countries of the Southern hemisphere. Russia is ranked 38, Brazil 65, and India 114.
The Intellectual Capital World Map. Dark areas indicate high, light areas low availability of Intellectual Capital
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Global Innovation Rankings
Scores and rankings of Intellectual Capital Sub-Index by country:
CountryRankScoreCountryRankScoreCountryRankScoreCountryRankScoreSouth Korea175.7Spain4548.1Algeria8937.2Syria13326.7China266.3Kazakhstan4648.0Kyrgistan9036.6Lesotho13426.5Singapore366.1Kosovo4747.2Sri Lanka9136.5Ethiopia13526.3Japan464.8Slovakia4847.0Albania9236.5Haiti13626.3Germany564.6Croatia4946.6Qatar9336.4Nicaragua13725.9 Slovenia663.0Greenland5046.6Guyana9436.1Malawi13825.7Brunei762.0Greece5146.5Suriname9536.0Gabon13925.7Luxembourg860.2Cyprus5246.5Kenya9636.0Cameroon14025.1Israel959.7Turkey5345.7Kuwait9735.9Swaziland14125.1Sweden1059.7Mongolia5445.7Cuba9835.8Liberia14224.9Finland1158.6Belize5545.5Nepal9935.6Equatorial Guinea14324.7Czech Republic1258.2Ukraine5644.6Ghana10035.2Namibia14424.2USA1358.2Colombia5744.3Azerbaijan10134.5Iraq14524.1Denmark1458.1Bulgaria5844.2Bahrain10234.4Mali14624.0Netherlands1557.0Mexico5943.9North Korea10333.7Mauritania14724.0France1656.9Dominica6043.8United Arab Emirates10432.9Uganda14823.5Iceland1756.6Australia6143.8Egypt10532.8Togo14923.3Norway1856.6West Bank and Gaza6243.6Libya10632.4South Sudan15023.0Saudi Arabia1956.3Jamaica6343.3Dominican Republic10732.4Somalia15122.4Switzerland2054.8Serbia6443.2Botswana10832.1Bangladesh15222.1United Kingdom2154.7Brazil6542.5Fiji10932.1Guinea-Bissau15321.9Belarus2254.7Moldova6642.1Paraguay11031.8Mozambique15421.6Montenegro2354.6Jordan6741.8Tajikistan11131.7Nigeria15521.5Malaysia2454.1Mauritius6841.6Morocco11231.7Zambia15621.4Ireland2554.0Peru6941.6Rwanda11331.2Niger15720.9Poland2653.5Panama7041.6Micronesia11431.2Cote d'Ivoire15820.8Austria2753.3Lebanon7141.5India11530.8Burkina Faso15920.5Lithuania2852.9South Africa7241.4Bosnia and Herzegovina11630.7Djibouti16020.2Belgium2952.8Indonesia7341.1Burma11730.5Sudan16119.8Portugal3052.5Argentina7441.0Macedonia11830.0Papua New Guinea16219.5Estonia3151.4Seychelles7541.0Laos11929.9Central African Republic16319.5Hungary3251.3Chile7640.3Bolivia12029.8Sierra Leone16419.3Costa Rica3350.9Romania7740.2Trinidad and Tobago12129.7Zimbabwe16519.3Iran3450.2Turkmenistan7840.0Cambodia12229.6Afghanistan16619.1Canada3550.0Uruguay7939.7Tanzania12329.6Madagascar16718.8New Zealand3649.9Georgia8039.5Senegal12429.0Democratic Republic of Congo16818.3Malta3749.7Venezuela8139.2Republic of Congo12529.0Eritrea16918.2Russia3849.4Maldives8239.0Comoros12628.1Gambia17017.9Armenia3949.3Uzbekistan8338.5Benin12728.1Angola17117.7Italy4048.9Timor-Leste8438.4Honduras12827.9Yemen17217.0Latvia4148.9Thailand8538.4Bhutan12927.9Chad17316.5Hong Kong4248.6Vietnam8638.3El Salvador13027.7Guinea17416.3Tunisia4348.6Bahamas8737.7Philippines13127.5Burundi17516.1Oman4448.4Ecuador8837.5Guatemala13227.2Pakistan17611.0
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6 Resource Management
The top level of the sustainable competitiveness pyramid is the ability to manage available resource (natural capital, human capital, financial capital) efficiently – regardless of whether the capital is scarce or abundant. Whether a country does or does not possess resources within its boundaries (natural and other resources), efficiency in using resources – whether domestic or imported - is a cost factor, affecting the competitiveness and thus wealth of nations. Over- exploitation of existing natural resources also affects the natural capital of the country, i.e. the ability of a country to support its population and economy with the required resources.
In addition, non-renewable resources that are used today might be scarce and expensive tomorrow, affecting competitiveness, wealth and the quality of life in the future. A number of factors are pointing to rising cost for resources in the future, in particular natural resources: scarcity and depletion of energy, water, and mineral resources, increasing consumption (particular in non-OECD countries), financial speculation on raw materials, and possibly geo-political influences. The key objective of the resource management category is therefore to evaluate a country’s ability to deal with rising cost and sustain economic growth in the face of rising prices in the global commodity markets.
Vital natural resources include water, energy, and raw materials. Most of the resources used today are non-renewable, or only partly renewable: fossil-based energy, and minerals. Water aquifers and other natural products (e.g. wood) are renewable, as long as their capacity is not overused and the replacement patterns are not drastically altered, e.g. trough depletion, biodiversity loss, pollution, or climate change.
Resource efficiency indicators are evaluated both in terms of intensity (per capita) and efficiency (relative GDP). The availability of accurate global data is not as wide as in other criteria, particularly in terms of usage of raw materials. Other than steel & minerals usage, reliable raw material usage statistics are not available on a global level. The focus is therefore on energy, energy sources, water, steel usage, as well as GHG emission intensity and productivity. For the full list of indicators, refer to the methodology section.
Key elements of competitiveness drivers in the Resource Management Sub-Index
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The resource intensity ranking is topped by less developed countries, with no OECD nation or developed economy in the top 10. Iceland, the highest ranking of the developed economies, is placed 19, followed by Ireland (22), New Zealand (31) and Finland (33). The World’s economic powerhouses score comparable low - Germany is ranked 82, the USA 137, and Japan at 146. Brazil is positioned the highest among the large emerging economies (Rank 21), while India (122), China (149) and Russia (157) have a distinctive potential for improving their sustainable competitiveness through improving resource intensity and resource management.
The Resource Management Sub-Index is composed of indicators scored relative to population (e.g. GHG per capita) as well as relative to economic output (e.g. energy consumption per GDP). Indicators measured against population (per capita) clearly favour countries with low resource and raw material consumption (i.e. less developed countries), while indicators scored relative to GDP measure economic efficiency.
The resource intensity map shows that the resource intensity of less developed countries seems to be lower than that of higher developed countries - despite the weighting (as calculated by relevance) for scores measured against economic output (GDP) being significantly higher than for absolute intensity scores (measured against capita).
The main implications of resource management capabilities are related to stability and sustained economic growth: should global prices for raw materials and energy rise significantly in the future (as trends and the majority of available research suggests), the countries in the lower ranks will face substantial higher challenges to maintain their growth compared to countries with higher efficiency and intensity scores.
The Resource Intensity World Map. Dark areas indicate low, light areas indicate high resource Intensity.
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Resource Management Rankings
Scores and rankings of the level of Resource Management Sub-Index by country:
CountryRankScoreCountryRankScoreCountryRankScoreCountryRankScoreGuatemala155.8Bangladesh45ScorePeru8937.8Egypt13333.5El Salvador252.8Denmark4655.8South Africa9037.7Botswana13433.4Nepal350.7Senegal4752.8Central African Republic9137.7Jordan13533.4Belize450.5Ghana4850.7Australia9237.7Algeria13633.3Ethiopia550.2Paraguay4950.5Indonesia9337.6USA13733.0Costa Rica649.8Colombia5050.2West Bank and Gaza9437.6Qatar13832.7Togo749.6Romania5149.8Macao9537.5Trinidad and Tobago13932.6Nicaragua849.5Austria5249.6Hungary9637.4Seychelles14032.6Tajikistan949.4Canada5349.5Burundi9737.3Belarus14132.6Cambodia1049.0France5449.4Georgia9837.3Niger14232.5Bolivia1148.5Cameroon5549.0United Kingdom9937.3Mexico14332.3Burma1248.5Belgium5648.5Sudan10037.2Morocco14432.0Tanzania1348.5Switzerland5748.5Madagascar10137.1Ukraine14531.7Nigeria1447.9Portugal5848.5Latvia10237.0Cuba14631.7Kenya1547.7Gabon5947.9Vietnam10336.8Japan14731.6Haiti1647.5Republic of Congo6047.7Tunisia10436.8Czech Republic14831.5Papua New Guinea1747.5Mali6147.5Ecuador10536.7China14931.5Iceland1847.5Angola6247.5Burkina Faso10636.7Argentina15031.3Zambia1945.5Kyrgistan6347.5Comoros10736.4Djibouti15131.3Mozambique2045.4Slovakia6445.5Mauritius10836.3Hong Kong15231.2Democratic Republic of Congo2145.1Rwanda6545.4Malta10936.3Kosovo15331.0Uzbekistan2244.9Azerbaijan6645.1Fiji11036.1Somalia15430.7Ireland2344.9Lesotho6744.9Dominican Republic11136.0South Sudan15530.7Cote d'Ivoire2444.3Timor-Leste6844.9Croatia11235.9United Arab Emirates15630.6Dominica2544.2Brazil6944.3Poland11335.7Russia15730.5Lithuania2644.2Sweden7044.2Netherlands11435.5Bahamas15830.3Benin2743.8Sierra Leone7144.2Panama11535.5Mongolia15930.3Zimbabwe2843.7Honduras7243.8Bosnia and Herzegovina11635.4Israel16030.1Laos2943.7Uganda7343.7Norway11735.4Lebanon16129.9Jamaica3043.6Suriname7443.7Guinea11835.3Bulgaria16229.6New Zealand3143.5Equatorial Guinea7543.6Thailand11935.0Serbia16328.8Uruguay3243.2Afghanistan7643.5Syria12034.9Brunei16428.7Finland3342.9Sri Lanka7743.2Singapore12134.8Bahrain16528.7Bhutan3442.3Greenland7842.9India12234.8Malaysia16628.6Philippines3542.1Chad7942.3Swaziland12334.7Mauritania16728.4Luxembourg3641.8Greece8042.1Gambia12434.4Maldives16828.2Spain3741.7Venezuela8141.8Guinea-Bissau12534.3Turkey16928.1Guyana3841.5Germany8241.7Malawi12634.3Saudi Arabia17027.9Italy3941.4Albania8341.5Slovenia12734.0Iran17127.8Eritrea4041.3Liberia8441.4Macedonia12833.9Montenegro17227.8Moldova4141.2Cyprus8541.3Turkmenistan12933.9Kazakhstan17326.4Namibia4241.1Chile8641.2Armenia13033.8Oman17424.4Yemen4341.0Estonia8741.1Iraq13133.8Kuwait17522.5North Korea4440.9Pakistan8841.0Libya13233.7South Korea17622.3
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7 Governance
Governing strategy: Shaping Social and Economic Capital
The base of the Sustainable Competitiveness Pyramid – the Natural Capital of a country, is given. Everything else – the society, the economy - is shaped by the legal, regulatory and physical (human built) framework. This framework – the environment in which society exists and businesses operate - is developed, maintained and updated by authorities and institutions, most often government bodies. The Governance Sub-Index therefor encompasses all aspects that shape the framework of the society (the Social Capital), and the economy (Intellectual Capital, Resource Management) operate in. Key aspects of the Governance aspects include:
strategic direction of government-led development (the balance between the key elements of government spending: health, education, infrastructure, security).
the built physical environment (infrastructure) required for smooth operation of the society and businesses, the availability and quality of public services,
the framework provided to businesses (formal in terms of business regulations, and informal in terms of red tape and corruption negatively affecting businesses),
exposure to volatility in terms of government balance sheets, and exposure to volatility shocks as posed by financial market fluctuations.
Measuring Governance
The result of qualitative governance quality & strategy evaluation depends very much on the evaluator. The Sustainable Competitiveness Index therefore relies on purely quantitative data series to evaluate and calculate the Governance Sub-Index direction. In addition, some qualitative indicators (perceived quality of public services and perceived levels of corruption determined through surveys) have been incorporated.
For the full list of indicators, refer to the methodology section.
Key elements of competitiveness drivers in the Governance Sub- Index
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The Governance Sub-Index of the Sustainable Competitiveness Index is based on quantitative data series. And is therefore not a qualitative evaluation of government systems. IN addition, some aspects of government direction implications (such as human rights, freedom of press, etc.) are assigned to the Social Capital Index. The Governance Sub-Index aims at evaluating the suitability of a country’s regulatory framework and infrastructure environment to facilitate sustainable competitiveness. The regulatory and infrastructure framework should enable a framework in which the country’s natural, social and intellectual capital of the country to generate new and sustain existing wealth.
Observations on the Governance ranking include:
The Governance Ranking is topped by China, followed by Japan.
Interestingly, all BRIC countries score high in this ranking: China (1), Brazil (7), Russia (8), and India (21); South Africa is further down at 84.
The highest ranked European country is Germany (6), followed by Norway (12), Iceland (13) and Switzerland (14).
The USA is ranked 32, while the UK is somewhat left behind at 102.
Most African nations are also ranked low
South America scores above average in this on this Sustainable Competitiveness Sub-Index
The Governance World Map. Dark areas indicate high, light areas low levels of Governance quality
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Global Governance Rankings
Scores and rankings of the level of Governance Sub-Index by country:
CountryRankScoreCountryRankScoreCountryRankScoreCountryRankScoreChina170.0Bolivia4551.1Ireland8945.6Macedonia13340.8Japan269.4Sweden4751.0Morocco9045.4Kenya13440.7Indonesia363.8Italy4850.7Republic of Congo9145.2Zimbabwe13540.5Uruguay460.8Ecuador4950.5Hungary9244.9Greece13640.3Kazakhstan560.0Israel5050.3Tunisia9344.8Trinidad and Tobago13740.2Germany659.1Gabon5150.2Bulgaria9444.8Malta13939.8Brazil758.4Burma5250.1Benin9544.7Maldives13839.8Russia857.7Canada5350.0Suriname10044.5Afghanistan14139.4Chile957.2Cuba5449.8Greenland9644.6Djibouti14039.5Argentina1056.6Kuwait5549.8Mozambique9844.6Jordan14539.1Singapore1256.0Nigeria5649.7Paraguay9744.6Chad14439.1Norway1156.0Venezuela5749.6West Bank and Gaza10144.5Montenegro14239.1Iceland1355.9Bhutan5849.4Dominica9944.5Jamaica14339.1Switzerland1555.2Nepal5949.3United Kingdom10244.3Kosovo14638.8Mauritius1654.8Latvia6049.1Bahrain10444.1Burkina Faso14738.6Oman1754.7Armenia6148.6Belgium10344.1Albania14838.5South Korea1455.6Turkey6248.5Panama10543.9Sudan14938.4Vietnam1854.6Libya6348.3Rwanda10643.8Eritrea15038.0Thailand1954.4Slovakia6448.2North Korea10743.5Mauritania15137.9Mongolia2054.3Luxembourg6548.2Equatorial Guinea10843.5Guinea15237.9India2154.2Finland6647.9Portugal10943.3Bahamas15337.8Australia2253.7Egypt6747.9Angola11043.2Gambia15437.7Estonia2453.1Pakistan6847.8Laos11142.9Tajikistan15537.6Ghana2353.1Sri Lanka6947.7Cyprus11242.8Fiji15637.0Malaysia2652.8United Arab Emirates7047.7Swaziland11542.6Timor-Leste15736.9Peru2552.8Ukraine7147.6Uganda11342.8Malawi15836.8Georgia2752.7Turkmenistan7247.5Sierra Leone11442.7Cote d'Ivoire15936.8New Zealand2852.5Ethiopia7347.5Democratic Republic of Congo11942.5Burundi16036.8Botswana2952.4Czech Republic7547.3Netherlands11842.5Togo16136.5Bangladesh3052.3Cambodia7447.3Tanzania11742.5Hong Kong16235.4Azerbaijan3152.0Serbia7647.2Lebanon11642.5Belize16335.2USA3351.8Denmark7746.9Lesotho12042.5Nicaragua16534.7Mexico3451.8Guatemala7846.8Papua New Guinea12142.4Somalia16434.7Saudi Arabia3251.9Uzbekistan7946.7Zambia12242.4Comoros16634.5Poland3551.7Slovenia8046.6Senegal12342.3Madagascar16834.1Belarus3851.5Lithuania8146.4Dominican Republic12442.1South Sudan16734.2Seychelles3651.7Kyrgistan8346.3Cameroon12542.1Syria16933.8Algeria3751.6Namibia8246.3Guyana12642.0Guinea-Bissau17032.8Austria3951.4South Africa8446.3El Salvador12741.5Mali17132.0Philippines4051.4Iran8546.1Brunei12841.4Honduras17230.5Colombia4151.4Spain8646.0Liberia12941.4Micronesia17329.8France4351.3Moldova8746.0Iraq13041.3Central African Republic17429.5Qatar4251.3Croatia8845.9Niger13141.0Yemen17527.8Costa Rica4451.1Ireland8945.6Bosnia and Herzegovina13241.0Haiti17627.4
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8 Spotlight: UK vs. Korea
In this section, we would like to draw the attention to some observations made from the results of the Global Sustainable Competitiveness Index 2014. One of the interesting facts is that the UK, still one of the larger economies of the World, and still a dream destination for many citizens of impoverished countries, is ranked surprisingly low at 65, just above the global average in terms of score – far below other North-western European countries, and also considerably below emerging nations such as South Korea, but also China and Brazil. The question is – why is the UK ranked so far below what most people would expect?
In order to analyse the UK’s sustainable competitiveness rankings, South Korea as a recently emerging economy and Germany, the long-term economic power- house were selected to compare the differences in national development and their implications for the sustainable competitiveness of a country.
The UK is ranked 152 in Natural Capital, 51 in Social Capital, 21 in Intellectual Capital, 99 in Resource Management, and 102 in the Governance, i.e. in most rankings the UK scores in the range of the global average in most Sub-Indexes of the Sustainable Competitiveness Index.
In terms of GDP per capita, the UK is still top-drawer on the global scale, but has lost more than 20% following the financial crises in 2007, with recovery only slowly setting in. Germany struggled for nearly a decade with the integration of Eastern Germany after the Wall came down in 1989, but has picked up steam in the new millennium and was not severely affected by the financial crisis. Korea meanwhile had its own struggles in the late 90s with the Asian fever, but has grown again since and has recovered well after the financial crisis through Keynesian recipes based on infrastructure and technology development programs. Koreas GDP/capita is surpassing pre-crisis levels since 2010; an achievement that the UK is still far from reaching with financial market (quantitative easing) intervention programs. Most interestingly however is probably Korea’s development since the 1960s: In 1960, Koreas GDP/capita was roughly 10% of the UK and remained below 20% until 1980 – in 2013, it was 65%.
The reaction to the financial crises also characterises the main differences between Korea’s and the UK’s approach to national development strategy since the 1980s. While the UK seem to have put the main emphasises on market forces and financial markets (i.e. forgoing, whether wilfully or not, a clear national economic development strategy), Korea has established a tradition of setting national development strategies in co-operation between government and the economy, whereby target industry, technology and service clusters are identified as priorities. The government sets the framework supporting the national development plan through provision of infrastructure, educational
UK scores in line with global averages cross the 5 Sub-Indexes
UK, Germany and Korea sustainable competitiveness scores
GDP per capita developments: UK hast lost nearly 20% since 2008. Korea has developed from 10% of UK levels to 65% since the 1970s. Germany struggled in the 90s following the integration of Eastern Germany, but has been growing strong since
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policy setting, and supporting trade regulations, while the industry is developing the technology.
The importance assigned to education is clearly visible in government expenditure. More than 20% of Korean government expenditure is allocated to education (in addition to significant private spending). The UK’s spending is significantly lower, but in line with global average. Interestingly, Germany spends below the global average on education, seemingly without adverse impacts on the country’s innovation and/or industrial capabilities. In other words, spending on education is probably not the key reason for the UK being left behind.
However, somewhere on the Intellectual Capital side things seem to go wrong for the UK. Strong R&D capabilities is the basis for competitiveness through innovation. Korea has increased spending on R&D from above 2% in 2000 to 4% of GDP, Germany (albeit with lower growth rates) to 3%, while the UK’s expenditure on R&D has declined to 1.6%, and is below the global average.
The results of Korea’s high educational and R&D spending are visible in the number of patent applications: since the 1990s. Patent applications in Korea have skyrocketed, leaving both Germany and the UK behind. However, while Germany’s patent applications are slowly rising, patent applications in the UK have declined since the 1990, and are now pretty much in line with the global average.
The number of patent application is also reflected in the size of the high-tech sector: while Korea has a well-developed and globally present high-tech industry, the manufacturing high-tech industry in the UK – the motherland of modern industrialisation – has become marginal.
The lack of a high-tech industry is also reflected in the employment figures of the different economic sectors. Less than 20% of the work-force in the UK are now employed in the manufacturing sector – a loss of nearly 50% since 1980. In Germany, this percentage is the highest, to some extend also due to the industry prevalence in Germany (machinery). Production in Korea’s high-tech industry is increasingly taken over by robots or has been outsourced to cheaper countries, explaining the relative decline in industrial employment in Korea.
The most drastic picture becomes visible when comparing the value added of the manufacturing sectors: in the UK, less than 10% of GDP are now generated by manufacturing (and many of the remaining manufacturing employment is low-skill food production and processing employment) – while Korea has increased the percentage generated by the manufacturing and industrial sector to over 30%. In short: the industry in UK has almost completely vanished, leaving the country dependent on the energy, finance and service sectors.
Patent applications per capita: Korea skyrocketing, UK dropping below global average
R&D allocation
Government education expenditure
Employment in the manufacturing sector: UK has lost nearly 50% since 1980, representing less than 20% now.
Percentage of GDP generated by the manufacturing sector dropped to below 10% in the UK, Korea increased to above 30%
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On the other hand, the financial sector in the UK is very strong – too strong, as critics would say. The stock market value of traded companies in the UK was 150% of the national GDP just before the financial crisis. During the crisis, the market capitalisation dropped to roughly 75% of GDP – i.e. the financial crisis destroyed wealth in the amount of 75% of the annual GDP. The equivalent value in Korea is nearly 100%, while in Germany the market value of listed companies is below 50%. The volume of annually traded stocks has reached even higher levels – in the UK, nearly 350% worth of the national GDP was traded in the year before the financial crisis 2007. In Korea, the equivalent value was 200%, in Germany 100%.
The market capitalisation lost by listed German companies during the financial crisis was significantly smaller than in the UK. This also reflects the dangers of overexposure to financial markets. In the absence of a meaningful industrial sector, as is the case in the UK, market fluctuations have a much higher impact on the national economy.
Implications
According to the Sustainable Competitiveness Pyramid, the base levels are required to support the higher levels, while the higher levels have a larger impacts on the level below. This notion seems to be supported by the UK case – the lack of a coherent national development strategy and implementation roadmap other than leaving the financial markets a free hand has left the UK far behind other European nations. In the absence of an alternative approach – away from the financial markets and back towards a healthier balance between the different sectors of the economy - a true, sustainable recovery (other than on the financial markets) is not foreseeable in the near future.
Korea, on the other hand, has seen successful development over recent decades based on national development priority plans tailor-made to the current development stage. It looks as if Korea has fairly well managed the transition from a cheap OEM manufacturing market (OEM textile manufacturing was a key element of the economy as short back as the 1970s) to an innovation- based technology exporting economy, competitive in the global markets. However, while Korea scores highest in the Intellectual Capital, the country also is ranked lowest of the 176 countries in Resource Management. Korea needs to balance its resource intensity in order to maintain current wealth generating levels in the long term, i.e. needs to deeper integrate resource management into its development priorities.
Comparing the UK and Korea, with very different approaches to national economic development, seems to suggest that setting and implementing integrated national development plans is significantly more sustainable (and successful) than letting the financial markets leading the way.
Market capitalisation of listed companies was 150% of GDP before the financial crisis in the UK, Korea at 100%, while Germany remains below 50%
Trading volume reached more than 350% of GDP in the UK before the crisis, returned to healthier levels after, Korea is still above 150%; Germany remains below 50%
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41. Spotlight
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9 Rankings at a glance
The Global Sustainable Competitiveness Index
Country Rank Score Country Rank Score Country Rank Score Country Rank Score
Iceland 1 56.2 Russia 45 45.8 Ethiopia 89 41.8 India 133 38.0
Sweden 2 54.1 Hungary 46 45.7 Tanzania 90 41.7 Jordan 134 37.9
Finland 3 53.6 Venezuela 47 45.7 Malta 91 41.7 Togo 135 37.7
Norway 4 53.4 Suriname 48 45.6 Cameroon 92 41.5 Angola 136 37.6
Japan 5 53.3 Belgium 49 45.4 Democratic Republic of Congo 93 41.4 Zimbabwe 137 37.5
Switzerland 6 52.0 Romania 50 45.4 Timor-Leste 94 41.1 Uganda 138 37.5
Germany 7 52.0 Dominica 51 45.2 South Africa 95 40.9 Bangladesh 139 37.4
Denmark 8 51.6 Belize 52 45.1 Zambia 96 40.8 Botswana 140 37.3
Luxembourg 9 51.6 Brunei 53 44.8 Gabon 97 40.7 Lesotho 141 37.3
Austria 10 51.3 Uzbekistan 54 44.7 Nicaragua 98 40.5 Trinidad and Tobago 142 37.2
New Zealand 11 51.2 Bolivia 55 44.7 Turkey 99 40.5 Mali 143 37.1
Canada 12 50.4 Ecuador 56 44.5 Bosnia and Herzegovina 100 40.5 Madagascar 144 37.0
France 13 50.3 Armenia 57 44.4 Thailand 101 40.5 Iran 145 36.9
Ireland 14 49.9 Montenegro 58 44.4 Libya 102 40.5 Morocco 146 36.9
Estonia 15 49.4 Oman 59 44.2 Kosovo 103 40.4 Burkina Faso 147 36.8
Costa Rica 16 49.4 Kazakhstan 60 44.2 Sierra Leone 104 40.3 Malawi 148 36.7
Slovenia 17 49.2 Laos 61 44.1 Mozambique 105 40.3 West Bank and Gaza 149 36.6
Lithuania 18 49.1 Guyana 62 44.0 Tunisia 106 40.3 Fiji 150 36.4
Uruguay 19 48.9 United Kingdom 63 43.8 Kuwait 107 40.0 Namibia 151 36.3
China 20 48.3 Israel 64 43.7 Maldives 108 39.9 Guinea 152 36.1
Brazil 21 48.2 Paraguay 65 43.6 Republic of Congo 109 39.9 Guinea-Bissau 153 35.5
Belarus 22 47.7 Mauritius 66 43.5 El Salvador 110 39.9 Niger 154 35.5
South Korea 23 47.6 Serbia 67 43.4 Cuba 111 39.8 Central African Republic 155 35.4
Singapore 24 47.4 Mongolia 68 43.4 Turkmenistan 112 39.7 Afghanistan 156 35.4
Poland 25 47.2 Chile 69 43.4 Azerbaijan 113 39.7 Chad 157 35.2
Netherlands 26 47.1 Mexico 70 43.4 Albania 114 39.6 Sudan 158 35.1
Czech Republic 27 47.0 Ghana 71 43.4 Jamaica 115 39.6 Comoros 159 34.8
Australia 28 47.0 Bulgaria 72 43.0 Liberia 116 39.4 Swaziland 160 34.5
Latvia 29 46.9 Greenland 73 43.0 Philippines 117 39.4 Syria 161 34.4
Slovakia 30 46.8 Tajikistan 74 42.9 North Korea 118 39.3 Honduras 162 34.1
USA 31 46.8 Qatar 75 42.8 Bahamas 119 39.2 Gambia 163 33.9
Croatia 32 46.7 Greece 76 42.8 Sri Lanka 120 39.2 Pakistan 164 33.3
Nepal 33 46.4 Kyrgistan 77 42.7 Equatorial Guinea 121 39.2 Mauritania 165 33.0
Italy 34 46.4 Seychelles 78 42.7 Egypt 122 39.1 Burundi 166 33.0
Indonesia 35 46.1 Vietnam 79 42.3 United Arab Emirates 123 39.1 Haiti 167 32.9
Bhutan 36 46.0 Panama 80 42.3 Cote d'Ivoire 124 38.9 Bahrain 168 32.4
Peru 37 46.0 Papua New Guinea 81 42.3 Lebanon 125 38.9 Iraq 169 32.3
Burma 38 45.9 Cyprus 82 42.2 Benin 126 38.8 Eritrea 170 32.3
Argentina 39 45.9 Ukraine 83 42.2 Rwanda 127 38.7 Micronesia 171 32.1
Colombia 40 45.9 Moldova 84 42.1 Macedonia 128 38.7 South Sudan 172 32.1
Spain 41 45.9 Algeria 85 42.1 Kenya 129 38.6 Djibouti 173 32.1
Malaysia 42 45.9 Georgia 86 41.9 Dominican Republic 130 38.4 Hong Kong 174 32.0
Saudi Arabia 43 45.9 Guatemala 87 41.9 Senegal 131 38.4 Somalia 175 30.3
Portugal 44 45.9 Cambodia 88 41.8 Nigeria 132 38.0 Yemen 176 30.0
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Country Rank Score Country Rank Score Country Rank Score Country Rank Score
Democratic Republic of Congo 1 74.6 Ecuador 45 53.6 Tajikistan 89 46.5 Spain 133 38.6
Bhutan 2 67.5 Belarus 46 53.3 Guatemala 90 46.4 Mongolia 134 38.4
Suriname 3 67.1 Switzerland 47 52.9 Trinidad and Tobago 91 46.1 Namibia 135 38.0
Cameroon 4 66.6 Croatia 48 52.6 Dominican Republic 92 46.0 Greenland 136 37.7
Guyana 5 65.8 Mozambique 49 52.4 Japan 93 45.7 Turkey 137 37.6
Central African Republic 6 65.6 Sudan 50 52.3 Czech Republic 94 45.6 Philippines 138 37.6
Laos 7 65.3 USA 51 51.9 Portugal 95 45.6 Syria 139 37.5
Burma 8 64.8 Montenegro 52 51.8 Luxembourg 96 45.2 Somalia 140 37.2
Venezuela 9 64.1 Panama 53 51.6 Nigeria 97 45.2 Djibouti 141 37.1
Papua New Guinea 10 64.0 France 54 51.6 Algeria 98 45.0 United Arab Emirates 142 36.8
Sweden 11 62.9 Ghana 55 51.2 Niger 99 44.9 Kuwait 143 36.8
Paraguay 12 62.8 Burkina Faso 56 51.1 Albania 100 44.9 Eritrea 144 36.7
Canada 13 62.2 Bahamas 57 50.9 Macedonia 101 44.8 Malta 146 36.6
Cote d'Ivoire 14 61.8 Costa Rica 58 50.7 Timor-Leste 102 44.7 Kenya 145 36.6
Sierra Leone 15 61.6 Fiji 59 50.7 Ukraine 103 44.6 Qatar 148 36.5
Equatorial Guinea 16 61.4 Ethiopia 60 50.0 Libya 104 44.5 Turkmenistan 147 36.5
Bolivia 17 60.7 Malawi 61 49.9 Honduras 105 44.5 North Korea 149 36.1
Republic of Congo 18 60.7 Malaysia 62 49.6 Seychelles 106 44.4 Moldova 150 36.1
Norway 19 60.4 Slovakia 63 49.5 Italy 107 44.4 Yemen 151 35.9
Brazil 20 60.2 Ireland 64 49.4 Uzbekistan 108 44.3 United Kingdom 152 35.7
New Zealand 21 60.1 Mauritius 65 49.3 South Africa 109 44.2 Sri Lanka 153 35.5
Zambia 22 60.0 Nepal 66 49.3 Afghanistan 110 43.6 Belgium 154 35.1
Guinea 23 59.5 Dominica 67 49.2 Romania 111 43.5 Thailand 155 34.6
Madagascar 24 59.1 Denmark 68 49.2 Maldives 112 43.1 South Korea 156 34.6
Iceland 25 58.8 Lesotho 69 49.2 Georgia 113 42.8 Micronesia 157 34.2
Finland 26 58.8 Chad 70 49.1 South Sudan 114 42.4 Kosovo 158 33.3
Colombia 27 58.1 Uganda 71 49.0 Armenia 115 42.2 Israel 159 32.5
Peru 28 57.6 Australia 72 49.0 Poland 116 42.1 Pakistan 160 32.4
Belize 29 57.3 Bulgaria 73 48.9 Brunei 117 41.6 Bangladesh 161 32.0
Angola 30 56.0 Bosnia and Herzegovina 74 48.9 Comoros 118 41.4 Lebanon 162 31.5
Guinea-Bissau 31 55.7 Chile 75 48.9 Vietnam 119 41.2 Cyprus 163 31.3
Estonia 32 55.7 Indonesia 76 48.4 Oman 120 41.2 Haiti 164 31.3
Uruguay 33 55.5 Gambia 77 48.4 Burundi 121 41.2 Azerbaijan 165 31.0
Mali 34 55.4 Swaziland 78 48.4 El Salvador 122 40.9 Jamaica 166 30.7
Latvia 35 55.1 Cambodia 79 48.0 Mauritania 123 40.8 Iraq 167 30.7
Austria 36 55.0 Kyrgistan 80 48.0 Netherlands 124 40.8 Tunisia 168 30.6
Gabon 37 55.0 Slovenia 81 47.9 Germany 125 40.8 India 169 30.4
Russia 38 55.0 Hungary 82 47.8 Botswana 126 40.6 Iran 170 30.2
Argentina 39 54.4 Mexico 83 47.3 Benin 127 40.6 Singapore 171 30.1
Lithuania 40 54.4 Serbia 84 47.1 Morocco 128 40.3 China 172 29.8
Tanzania 41 54.3 Rwanda 85 47.1 Egypt 129 40.1 Jordan 173 27.1
Liberia 42 54.2 Greece 86 46.9 Cuba 130 39.9 Hong Kong 174 23.9
Zimbabwe 43 54.1 Togo 87 46.7 Senegal 131 39.5 West Bank and Gaza 175 19.9
Nicaragua 44 53.6 Saudi Arabia 88 46.6 Kazakhstan 132 39.4 Bahrain 176 18.7
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Social Capital Sub-Index
CountryRankScoreCountryRankScoreCountryRankScoreCountryRankScoreDenmark163.1Lithuania4547.6Peru8940.3Zambia13334.8Luxembourg262.6Greenland4647.5Albania9040.0Guyana13434.2Iceland362.1Bulgaria4747.5Thailand9140.0Mauritania13534.2Finland460.0Nepal4847.4India9239.7Tanzania13633.8Netherlands559.7Hungary4947.3Bangladesh9339.7Burundi13733.5Norway658.8Kazakhstan5047.2Indonesia9439.5Cameroon13833.5Sweden758.0United Kingdom5146.9Bahamas9539.3Comoros13933.4Germany857.3Saudi Arabia5246.7Syria9639.2Bolivia14033.4Qatar957.2Italy5346.6Panama9739.0Uganda14133.3Switzerland1057.2Belarus5446.5Sierra Leone9839.0Guatemala14233.1Austria1156.6Bosnia and Herzegovina5546.4Nicaragua9939.0Chad14333.1Ireland1255.6Argentina5646.3USA10038.9Gabon14433.1Japan1355.3Israel5746.2Laos10138.8Chile14532.8Belgium1455.2Timor-Leste5846.1Liberia10238.7Guinea-Bissau14632.7Spain1555.1Malta5946.0Philippines10338.4Togo14732.6Kuwait1655.0Uruguay6045.2Paraguay10438.2Djibouti14832.4Slovenia1754.5Moldova6145.1Papua New Guinea10538.2Rwanda14932.2Poland1853.0Ecuador6244.4Sri Lanka10637.9Namibia15032.0Cyprus1952.6Dominica6344.4Niger10737.9Angola15131.9Croatia2052.6Latvia6444.3Mozambique10837.5Kenya15231.9Oman2152.4Malaysia6544.3Pakistan10937.5Haiti15331.8Czech Republic2252.3Costa Rica6644.3Venezuela11037.5Iraq15431.7Romania2351.9China6744.0Burkina Faso11137.3Guinea15531.5Kosovo2451.7Macedonia6844.0Trinidad and Tobago11237.1Gambia15630.9France2551.7Seychelles6943.6Georgia11337.1Cote d'Ivoire15730.8Serbia2650.8Kyrgistan7043.6West Bank and Gaza11437.1Iran15830.4Australia2750.7Libya7143.4Belize11537.0South Sudan15930.2Brunei2850.3Algeria7243.4Ghana11637.0Zimbabwe16030.1New Zealand2950.2Bhutan7343.0Benin11736.9Lesotho16129.2Singapore3050.2Turkey7442.5Malawi11836.8Honduras16228.8South Korea3150.1Ukraine7542.4El Salvador11936.3Yemen16328.3Slovakia3250.0North Korea7642.3Afghanistan12036.3Botswana16428.2Maldives3349.7Greece7742.0Russia12136.2Equatorial Guinea16528.1Canada3449.4Cuba7841.9Bahrain12236.0Micronesia16627.8Tajikistan3549.2Azerbaijan7941.9Madagascar12336.0Sudan16727.8 Uzbekistan3649.0Mexico8041.8Burma12435.8Eritrea16827.3Estonia3748.9Egypt8141.5Dominican Republic12535.6Democratic Republic of Congo16926.3Lebanon3848.9Suriname8241.4Colombia12635.4Somalia17026.3Montenegro3948.6Jamaica8341.3Mauritius12735.3Fiji17126.0Mongolia4048.6Turkmenistan8440.9South Africa12835.1Nigeria17225.7Portugal4148.4Brazil8540.8Cambodia12935.0Republic of Congo17324.9Armenia4248.4Vietnam8640.8Morocco13035.0Central African Republic17424.9Jordan4348.3Tunisia8740.7Ethiopia13135.0Swaziland17521.5United Arab Emirates4447.6Senegal8840.5Mali13234.8Hong Kong17620.6
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Country Rank Score Country Rank Score Country Rank Score Country Rank Score
South Korea 1 75.7 Spain 45 48.1 Algeria 89 37.2 Syria 133 26.7
China 2 66.3 Kazakhstan 46 48.0 Kyrgistan 90 36.6 Lesotho 134 26.5
Singapore 3 66.1 Kosovo 47 47.2 Sri Lanka 91 36.5 Ethiopia 135 26.3
Japan 4 64.8 Slovakia 48 47.0 Albania 92 36.5 Haiti 136 26.3
Germany 5 64.6 Croatia 49 46.6 Qatar 93 36.4 Nicaragua 137 25.9
Slovenia 6 63.0 Greenland 50 46.6 Guyana 94 36.1 Malawi 138 25.7
Brunei 7 62.0 Greece 51 46.5 Suriname 95 36.0 Gabon 139 25.7
Luxembourg 8 60.2 Cyprus 52 46.5 Kenya 96 36.0 Cameroon 140 25.1
Israel 9 59.7 Turkey 53 45.7 Kuwait 97 35.9 Swaziland 141 25.1
Sweden 10 59.7 Mongolia 54 45.7 Cuba 98 35.8 Liberia 142 24.9
Finland 11 58.6 Belize 55 45.5 Nepal 99 35.6 Equatorial Guinea 143 24.7
Czech Republic 12 58.2 Ukraine 56 44.6 Ghana 100 35.2 Namibia 144 24.2
USA 13 58.2 Colombia 57 44.3 Azerbaijan 101 34.5 Iraq 145 24.1
Denmark 14 58.1 Bulgaria 58 44.2 Bahrain 102 34.4 Mali 146 24.0
Netherlands 15 57.0 Mexico 59 43.9 North Korea 103 33.7 Mauritania 147 24.0
France 16 56.9 Dominica 60 43.8 United Arab Emirates 104 32.9 Uganda 148 23.5
Iceland 17 56.6 Australia 61 43.8 Egypt 105 32.8 Togo 149 23.3
Norway 18 56.6 West Bank and Gaza 62 43.6 Libya 106 32.4 South Sudan 150 23.0
Saudi Arabia 19 56.3 Jamaica 63 43.3 Dominican Republic 107 32.4 Somalia 151 22.4
Switzerland 20 54.8 Serbia 64 43.2 Botswana 108 32.1 Bangladesh 152 22.1
United Kingdom 21 54.7 Brazil 65 42.5 Fiji 109 32.1 Guinea-Bissau 153 21.9
Belarus 22 54.7 Moldova 66 42.1 Paraguay 110 31.8 Mozambique 154 21.6
Montenegro 23 54.6 Jordan 67 41.8 Tajikistan 111 31.7 Nigeria 155 21.5
Malaysia 24 54.1 Mauritius 68 41.6 Morocco 112 31.7 Zambia 156 21.4
Ireland 25 54.0 Peru 69 41.6 Rwanda 113 31.2 Niger 157 20.9
Poland 26 53.5 Panama 70 41.6 Micronesia 114 31.2 Cote d'Ivoire 158 20.8
Austria 27 53.3 Lebanon 71 41.5 India 115 30.8 Burkina Faso 159 20.5
Lithuania 28 52.9 South Africa 72 41.4 Bosnia and Herzegovina 116 30.7 Djibouti 160 20.2
Belgium 29 52.8 Indonesia 73 41.1 Burma 117 30.5 Sudan 161 19.8
Portugal 30 52.5 Argentina 74 41.0 Macedonia 118 30.0 Papua New Guinea 162 19.5
Estonia 31 51.4 Seychelles 75 41.0 Laos 119 29.9 Central African Republic 163 19.5
Hungary 32 51.3 Chile 76 40.3 Bolivia 120 29.8 Sierra Leone 164 19.3
Costa Rica 33 50.9 Romania 77 40.2 Trinidad and Tobago 121 29.7 Zimbabwe 165 19.3
Iran 34 50.2 Turkmenistan 78 40.0 Cambodia 122 29.6 Afghanistan 166 19.1
Canada 35 50.0 Uruguay 79 39.7 Tanzania 123 29.6 Madagascar 167 18.8
New Zealand 36 49.9 Georgia 80 39.5 Senegal 124 29.0 Democratic Republic of Congo 168 18.3
Malta 37 49.7 Venezuela 81 39.2 Republic of Congo 125 29.0 Eritrea 169 18.2
Russia 38 49.4 Maldives 82 39.0 Comoros 126 28.1 Gambia 170 17.9
Armenia 39 49.3 Uzbekistan 83 38.5 Benin 127 28.1 Angola 171 17.7
Italy 40 48.9 Timor-Leste 84 38.4 Honduras 128 27.9 Yemen 172 17.0
Latvia 41 48.9 Thailand 85 38.4 Bhutan 129 27.9 Chad 173 16.5
Hong Kong 42 48.6 Vietnam 86 38.3 El Salvador 130 27.7 Guinea 174 16.3
Tunisia 43 48.6 Bahamas 87 37.7 Philippines 131 27.5 Burundi 175 16.1
Oman 44 48.4 Ecuador 88 37.5 Guatemala 132 27.2 Pakistan 176 11.0
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Resource Management Sub-Index
Country Rank Score Country Rank Score Country Rank Score Country Rank Score
Guatemala 1 55.8 Bangladesh 45 Score Peru 89 37.8 Egypt 133 33.5
El Salvador 2 52.8 Denmark 46 55.8 South Africa 90 37.7 Botswana 134 33.4
Nepal 3 50.7 Senegal 47 52.8 Central African Republic 91 37.7 Jordan 135 33.4
Belize 4 50.5 Ghana 48 50.7 Australia 92 37.7 Algeria 136 33.3
Ethiopia 5 50.2 Paraguay 49 50.5 Indonesia 93 37.6 USA 137 33.0
Costa Rica 6 49.8 Colombia 50 50.2 West Bank and Gaza 94 37.6 Qatar 138 32.7
Togo 7 49.6 Romania 51 49.8 Macao 95 37.5 Trinidad and Tobago 139 32.6
Nicaragua 8 49.5 Austria 52 49.6 Hungary 96 37.4 Seychelles 140 32.6
Tajikistan 9 49.4 Canada 53 49.5 Burundi 97 37.3 Belarus 141 32.6
Cambodia 10 49.0 France 54 49.4 Georgia 98 37.3 Niger 142 32.5
Bolivia 11 48.5 Cameroon 55 49.0 United Kingdom 99 37.3 Mexico 143 32.3
Burma 12 48.5 Belgium 56 48.5 Sudan 100 37.2 Morocco 144 32.0
Tanzania 13 48.5 Switzerland 57 48.5 Madagascar 101 37.1 Ukraine 145 31.7
Nigeria 14 47.9 Portugal 58 48.5 Latvia 102 37.0 Cuba 146 31.7
Kenya 15 47.7 Gabon 59 47.9 Vietnam 103 36.8 Japan 147 31.6
Haiti 16 47.5 Republic of Congo 60 47.7 Tunisia 104 36.8 Czech Republic 148 31.5
Papua New Guinea 17 47.5 Mali 61 47.5 Ecuador 105 36.7 China 149 31.5
Iceland 18 47.5 Angola 62 47.5 Burkina Faso 106 36.7 Argentina 150 31.3
Zambia 19 45.5 Kyrgistan 63 47.5 Comoros 107 36.4 Djibouti 151 31.3
Mozambique 20 45.4 Slovakia 64 45.5 Mauritius 108 36.3 Hong Kong 152 31.2
Democratic Republic of Congo 21 45.1 Rwanda 65 45.4 Malta 109 36.3 Kosovo 153 31.0
Uzbekistan 22 44.9 Azerbaijan 66 45.1 Fiji 110 36.1 Somalia 154 30.7
Ireland 23 44.9 Lesotho 67 44.9 Dominican Republic 111 36.0 South Sudan 155 30.7
Cote d'Ivoire 24 44.3 Timor-Leste 68 44.9 Croatia 112 35.9 United Arab Emirates 156 30.6
Dominica 25 44.2 Brazil 69 44.3 Poland 113 35.7 Russia 157 30.5
Lithuania 26 44.2 Sweden 70 44.2 Netherlands 114 35.5 Bahamas 158 30.3
Benin 27 43.8 Sierra Leone 71 44.2 Panama 115 35.5 Mongolia 159 30.3
Zimbabwe 28 43.7 Honduras 72 43.8 Bosnia and Herzegovina 116 35.4 Israel 160 30.1
Laos 29 43.7 Uganda 73 43.7 Norway 117 35.4 Lebanon 161 29.9
Jamaica 30 43.6 Suriname 74 43.7 Guinea 118 35.3 Bulgaria 162 29.6
New Zealand 31 43.5 Equatorial Guinea 75 43.6 Thailand 119 35.0 Serbia 163 28.8
Uruguay 32 43.2 Afghanistan 76 43.5 Syria 120 34.9 Brunei 164 28.7
Finland 33 42.9 Sri Lanka 77 43.2 Singapore 121 34.8 Bahrain 165 28.7
Bhutan 34 42.3 Greenland 78 42.9 India 122 34.8 Malaysia 166 28.6
Philippines 35 42.1 Chad 79 42.3 Swaziland 123 34.7 Mauritania 167 28.4
Luxembourg 36 41.8 Greece 80 42.1 Gambia 124 34.4 Maldives 168 28.2
Spain 37 41.7 Venezuela 81 41.8 Guinea-Bissau 125 34.3 Turkey 169 28.1
Guyana 38 41.5 Germany 82 41.7 Malawi 126 34.3 Saudi Arabia 170 27.9
Italy 39 41.4 Albania 83 41.5 Slovenia 127 34.0 Iran 171 27.8
Eritrea 40 41.3 Liberia 84 41.4 Macedonia 128 33.9 Montenegro 172 27.8
Moldova 41 41.2 Cyprus 85 41.3 Turkmenistan 129 33.9 Kazakhstan 173 26.4
Namibia 42 41.1 Chile 86 41.2 Armenia 130 33.8 Oman 174 24.4
Yemen 43 41.0 Estonia 87 41.1 Iraq 131 33.8 Kuwait 175 22.5
North Korea 44 40.9 Pakistan 88 41.0 Libya 132 33.7 South Korea 176 22.3
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