Hong Kong ranks number 7 in the world, despite not having a proper innovation ecosystem. Hong Kong's low "Innovation Efficiency Ratio" ranking of 109th (out of 142 countries/territories) is total mismatch to its top "Input Sub-index" of 2nd in the world.
This document presents rankings of countries and economies based on their scores in the Global Innovation Index 2017. Switzerland has the highest overall score of 67.69 and ranks first. The rankings are broken down by income group, region, and the efficiency ratio score. The table also shows the median efficiency ratio score.
The document presents rankings from the Global Innovation Index 2019. Switzerland ranked first overall. The top countries were generally high-income countries from Europe and North America. Singapore ranked first for innovation input and Switzerland ranked second overall and first for Europe. The rankings show innovation performance based on scores from 0 to 100 across over 100 countries.
This document summarizes exports from India to various countries in 2016-17, listing the quantity in metric tons and value in rupees lacs for each country. The top three export destinations by value were the USA, UK, and Germany. A total of 22,086.11 metric tons of exports valued at 54,873.96 rupees lacs are reported across 111 different countries.
The document provides a snapshot of various BSE and NSE indices in India as of September 20, 2012. It lists the current and 52-week high and low values, daily change percentages, and price-to-earnings ratios of major indices tracking different sectors of the Indian economy such as Sensex, Nifty, banking, auto, IT, infrastructure, and small caps. The indices showed mostly marginal gains on the day with changes ranging between half a percent to over 2 percent.
The document summarizes website usage statistics from a single day (February 16, 2011) for the site diycyborg.ning.com. It shows that the site had 545 total visits from 60 countries, with the top three countries being the United States (109 visits), Italy (84 visits), and Spain (36 visits). On average, visitors viewed 5.4 pages per visit and spent 5 minutes and 27 seconds on the site. Nearly half of visits were from new visitors and over a third resulted in visitors bouncing without viewing additional pages.
The document provides an overview and analysis of the 2015 Legatum Prosperity Index. Some key findings include:
- Singapore climbed to first place in the Economy sub-index, driven by improvements in its economy and entrepreneurship.
- Indonesia stands out as the top performer overall, climbing 21 places over seven years due to gains in its economy and entrepreneurship.
- Safety and security declined significantly in Africa and the Middle East due to violence and conflicts, while falling levels of safety also negatively impacted the US ranking.
- Nordic countries like Norway, Denmark, and Sweden typically rank highest for overall prosperity, while many developing nations rank in the lower half of the index.
The document provides an overview and analysis of the 2015 Legatum Prosperity Index. Some key findings include:
- Singapore climbed to first place in the Economy sub-index, driven by improvements in its economy and entrepreneurship.
- Indonesia stands out as the top performer overall, climbing 21 places over seven years due to gains in its economy and entrepreneurship.
- Safety and security declined significantly in Africa and the Middle East due to violence and conflicts, while falling levels of safety also negatively impacted the US ranking.
- Nordic countries like Norway, Denmark, and Sweden typically rank highest for overall prosperity, while many developing nations rank in the lower half of the index.
International Roaming Rates with ConnectALL Global Sim CardLoknath Putrevu
ConnectALL international sim is global roaming card with free incoming in 150 countries and coverage around 200 countries. No Roaming charges. Prepaid sim card with lifetime validity, no hugh monthly bills and easy recharge options. While travelling abroad you can save 85% on your calls. One global sim card across the world. Get local numbers from 40 countries. Data pack for 67 countries. Perfect international sim card for travellers going abroad.
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This document presents rankings of countries and economies based on their scores in the Global Innovation Index 2017. Switzerland has the highest overall score of 67.69 and ranks first. The rankings are broken down by income group, region, and the efficiency ratio score. The table also shows the median efficiency ratio score.
The document presents rankings from the Global Innovation Index 2019. Switzerland ranked first overall. The top countries were generally high-income countries from Europe and North America. Singapore ranked first for innovation input and Switzerland ranked second overall and first for Europe. The rankings show innovation performance based on scores from 0 to 100 across over 100 countries.
This document summarizes exports from India to various countries in 2016-17, listing the quantity in metric tons and value in rupees lacs for each country. The top three export destinations by value were the USA, UK, and Germany. A total of 22,086.11 metric tons of exports valued at 54,873.96 rupees lacs are reported across 111 different countries.
The document provides a snapshot of various BSE and NSE indices in India as of September 20, 2012. It lists the current and 52-week high and low values, daily change percentages, and price-to-earnings ratios of major indices tracking different sectors of the Indian economy such as Sensex, Nifty, banking, auto, IT, infrastructure, and small caps. The indices showed mostly marginal gains on the day with changes ranging between half a percent to over 2 percent.
The document summarizes website usage statistics from a single day (February 16, 2011) for the site diycyborg.ning.com. It shows that the site had 545 total visits from 60 countries, with the top three countries being the United States (109 visits), Italy (84 visits), and Spain (36 visits). On average, visitors viewed 5.4 pages per visit and spent 5 minutes and 27 seconds on the site. Nearly half of visits were from new visitors and over a third resulted in visitors bouncing without viewing additional pages.
The document provides an overview and analysis of the 2015 Legatum Prosperity Index. Some key findings include:
- Singapore climbed to first place in the Economy sub-index, driven by improvements in its economy and entrepreneurship.
- Indonesia stands out as the top performer overall, climbing 21 places over seven years due to gains in its economy and entrepreneurship.
- Safety and security declined significantly in Africa and the Middle East due to violence and conflicts, while falling levels of safety also negatively impacted the US ranking.
- Nordic countries like Norway, Denmark, and Sweden typically rank highest for overall prosperity, while many developing nations rank in the lower half of the index.
The document provides an overview and analysis of the 2015 Legatum Prosperity Index. Some key findings include:
- Singapore climbed to first place in the Economy sub-index, driven by improvements in its economy and entrepreneurship.
- Indonesia stands out as the top performer overall, climbing 21 places over seven years due to gains in its economy and entrepreneurship.
- Safety and security declined significantly in Africa and the Middle East due to violence and conflicts, while falling levels of safety also negatively impacted the US ranking.
- Nordic countries like Norway, Denmark, and Sweden typically rank highest for overall prosperity, while many developing nations rank in the lower half of the index.
International Roaming Rates with ConnectALL Global Sim CardLoknath Putrevu
ConnectALL international sim is global roaming card with free incoming in 150 countries and coverage around 200 countries. No Roaming charges. Prepaid sim card with lifetime validity, no hugh monthly bills and easy recharge options. While travelling abroad you can save 85% on your calls. One global sim card across the world. Get local numbers from 40 countries. Data pack for 67 countries. Perfect international sim card for travellers going abroad.
Free Incoming in Australia, USA, UK, UAE, China, Saudi Arabia, Singapore, Malaysia, Hong Kong, Thailand, South Africa and all European countires and many more. Additional services like call waiting, cell redirection, let others call from skype for free, personal assistant, cell ID, data roaming, voicemail. Save MONEY while roaming, the best international sim card. ConnectALL. Anywhere. Anytime.
Visit http://www.connectall.in
The document provides the intra-day technical levels for various stocks trading on the National Stock Exchange of India on February 8, 2013. It lists the closing price, intra-day pivot point, resistance levels above the pivot, and support levels below the pivot for each stock, along with the trend and expiry date for futures contracts.
The document presents rankings of 144 countries from the Global Competitiveness Index 2014-2015. Switzerland ranks first with a score of 5.7. Singapore and the United States rank second and third respectively. The rankings are broken down across pillars of basic requirements, efficiency enhancers, and innovation/sophistication factors.
- The document provides a snapshot of various Indian stock market indices as of 12 November 2013 at 4pm, including the SENSEX, Nifty 50, Bank Nifty, and other sectoral indices. It lists the current value, day's high and low, previous close, change from previous close, and other statistical details for each index.
- The indices represented include various sectoral indices tracking automobiles, banks, capital goods, consumer goods, healthcare, information technology, metals, oil and gas, and other sectors of the Indian economy.
- Key indices like SENSEX, Nifty 50 and Bank Nifty closed higher by 1-2% compared to the previous day's close. Most other sectoral
This document lists the names and annual fund performance percentages from 2008 to 2012 of various trust funds available under the EPF Members Investment Scheme. The funds cover a range of asset classes including equity, fixed income, and balanced funds. Performance varied significantly from fund to fund and year to year, with equity funds generally showing higher returns but also larger declines during market downturns compared to balanced and fixed income funds.
The document provides the intra-day technical levels for various stocks on the NSE futures market for January 29, 2013, the day before the January 2013 futures and options expiry. It lists the closing price from January 28, the intra-day pivot point, and resistance and support levels for each stock. Most stocks are showing a downward trend according to the technical analysis.
Mercer Capital's Value Focus: FinTech Industry | Q1 2014 | Segment Focus: Tec...Mercer Capital
Mercer Capital’s quarterly newsletter, FinTech Watch, provides an overview of the FinTech industry, including public market performance, valuation multiples for public FinTech companies, and articles of interest from around the web. In addition, each issue of this quarterly newsletter will focus on one FinTech segment, including payment processors, technology, and solutions companies, examining general economic and industry trends as well as a summary of M&A and venture capital activity for the segment.
The document provides a snapshot of various Indian stock market indices as of September 17, 2012. It lists the current value, day's high and low, previous close, change from previous close in absolute and percentage terms, and other metrics for key indices like SENSEX, Nifty 50, Bank Nifty, CNX Midcap, among others. The indices represented different sectors of the economy like banking, auto, IT, metals, FMCG, infrastructure, and small caps.
- The document provides a snapshot of various Indian stock market indices as of November 28, 2013 at 4:00 PM, including the S&P BSE Sensex, Nifty 50, Bank Nifty, and other sectoral indices.
- It lists the current value, day's high and low, previous close, change in points and percentage, and other metrics like 52-week high/low and PE ratio for each index.
- The indices cover various sectors of the Indian economy like banks, autos, IT, healthcare, infrastructure, commodities, and small/mid cap companies.
- The snapshot offers a one-page overview of the performance and movements of the major stock market indices in India on that
The document is a table listing countries ranked by deaths per million people from COVID-19 over the last 14 days. It provides statistics on total cases, total deaths, mortality rate, and deaths per million for each country on November 2nd, 10th, and 17th, with the largest increases shown in red. The top country by this metric is Czechia, with 18.75 deaths per million people in the last 14 days, a 6.1 increase from November 2nd.
1) The document provides data on open interest, changes in open interest, and closing prices for various stock futures contracts expiring on November 24, 2011.
2) It shows that open interest increased the most for 3IINFOTECH (320000 contracts) and decreased the most for BRFL (-30000 contracts).
3) Closing prices on November 8, 2011 ranged from Rs. 24.85 for 3IINFOTECH to Rs. 7260 for BOSCHLTD with most contracts closing lower that day.
The document provides a snapshot of various Indian stock market indices as of May 29, 2014. It lists the name of each index along with the number of companies it represents, the current value, high and low for the day, previous closing value, change from previous close in absolute and percentage terms, and other metrics like P/E ratio. Key indices mentioned include S&P BSE SENSEX (30 companies), Nifty 50 (50 companies), Bank Nifty (12 banks), CNX Midcap (100 mid-sized companies), among others across sectors like automobiles, banks, capital goods, FMCG, healthcare, IT, metals, oil & gas, and more.
The document describes the Legatum Prosperity Index, which ranks 149 countries based on their performance across 9 pillars of prosperity: economic quality, business environment, governance, personal freedom, social capital, safety and security, education, health, and natural environment. It provides the 2017 rankings and scores for each country on the 9 pillars. Norway ranked first overall in 2017 based on its strong performance across all pillars.
How do you cut the Big Data clutter and tell interesting, insightful and impacting stories? This session talks about the need for Data Visualization & how Visual stories can come to the aid of the Big Data problem associated with meaningful consumption. The point is illustrated by leveraging several industry case studies.
The document provides a snapshot of various Indian stock market indices as of November 22, 2013 at 4:00 PM. It lists the current value, day's high and low, previous close, change from previous close in absolute and percentage terms, 52-week high and low, and price-to-earnings ratio for various indices tracking different sectors like banking, automobiles, IT, FMCG, infrastructure, and more. These indices include S&P BSE Sensex, Nifty 50, Bank Nifty, CNX Midcap, CNX 500 and others. The indices showed mixed changes from the previous day's close with some rising and others falling marginally.
Making Big Data relevant: Importance of Data Visualization and AnalyticsGramener
This document discusses the importance of data visualization and analytics for making big data relevant. It provides examples of how visualizing data through simple charts and graphs can help identify patterns and insights more quickly than just viewing raw numbers. Effective data visualization and analytics helps different levels of an organization consume and understand data in order to make informed decisions.
- The document is an analysis of futures and options contracts for various stocks and indexes in the Indian market as of November 24, 2011.
- It provides data on the open interest, changes in open interest, changes in closing price, support and resistance levels for each underlying asset.
- The underlying assets include stock futures contracts for over 50 companies across sectors, as well as index futures for Nifty, Bank Nifty, Mini Nifty and CNXIT.
#WeeklyNewspaper
RBI increases household income limit for borrowers for NBFCs and MFIs. Demystify Technical Analysis with #Findoc Prime and learn the trade secrets.
Stay updated
https://www.myfindoc.com/research/newspaper
#sharemarket #mutualfunds #trading #stocks #SBI #FinDoc #Gurupurab #GuruNanakDevji
This document presents survey data from the Pew Research Center's 2002 Global Attitudes Survey. It includes responses from people in various regions (e.g. North America, Latin America, Europe) to questions about their current and future life satisfaction, as well as their views on whether their personal situation has improved or declined over the past 5 years. The data is shown in percentages and is broken out by country or region.
- The document provides a snapshot of various Indian stock market indices as of 26-Nov-2013 at 16:00/16:10 including the SENSEX, NIFTY, and other sectoral indices. It lists the current value, day's high and low, previous close, change in points and percentage for each index.
- It also provides the 52-week high and low values as well as the price-to-earnings ratio for each of the indices tracking different sectors of the Indian economy like banking, automobiles, IT, metals, infrastructure etc.
- The snapshot acts as a one-page guide to the performance of the various indices and sectors in the Indian stock market on that particular date
S-map Online is a digital soil mapping and information system developed by Landcare Research in New Zealand. It has provided open access to standardized soil data and attributes to over 77,000 visitors. By making this information easily accessible online, it has enabled greater sharing of soil knowledge and improved land use decision making. There is potential to develop a similar online soil portal for Pacific island countries to address limited soils data and expertise by providing a centralized repository for soil information. This could help support more sustainable agricultural and environmental management.
Michael Green on the Social Progress Index at Business in the Community Irelandsocprog
On May 11, 2017 CEO of the Social Progress Imperative Michael Green joined CEOs and Managing Directors of BITC’s member companies to explore why economic growth, measured as GDP, is failing as an accurate predictor of a nation’s progress, and assess the business implications, together with what new measures will support Irish business to thrive in the long term. Learn more at http://socialprogressimperative.org
The document reports stock market data from the Dhaka Stock Exchange for January 23, 2017. It provides details on the number of issues that advanced, declined, and remained unchanged across different categories. Overall, 159 issues advanced and 142 declined among the 328 total issues traded. It also lists transaction numbers and volumes, as well as market capitalization values for various security types.
The document provides the intra-day technical levels for various stocks trading on the National Stock Exchange of India on February 8, 2013. It lists the closing price, intra-day pivot point, resistance levels above the pivot, and support levels below the pivot for each stock, along with the trend and expiry date for futures contracts.
The document presents rankings of 144 countries from the Global Competitiveness Index 2014-2015. Switzerland ranks first with a score of 5.7. Singapore and the United States rank second and third respectively. The rankings are broken down across pillars of basic requirements, efficiency enhancers, and innovation/sophistication factors.
- The document provides a snapshot of various Indian stock market indices as of 12 November 2013 at 4pm, including the SENSEX, Nifty 50, Bank Nifty, and other sectoral indices. It lists the current value, day's high and low, previous close, change from previous close, and other statistical details for each index.
- The indices represented include various sectoral indices tracking automobiles, banks, capital goods, consumer goods, healthcare, information technology, metals, oil and gas, and other sectors of the Indian economy.
- Key indices like SENSEX, Nifty 50 and Bank Nifty closed higher by 1-2% compared to the previous day's close. Most other sectoral
This document lists the names and annual fund performance percentages from 2008 to 2012 of various trust funds available under the EPF Members Investment Scheme. The funds cover a range of asset classes including equity, fixed income, and balanced funds. Performance varied significantly from fund to fund and year to year, with equity funds generally showing higher returns but also larger declines during market downturns compared to balanced and fixed income funds.
The document provides the intra-day technical levels for various stocks on the NSE futures market for January 29, 2013, the day before the January 2013 futures and options expiry. It lists the closing price from January 28, the intra-day pivot point, and resistance and support levels for each stock. Most stocks are showing a downward trend according to the technical analysis.
Mercer Capital's Value Focus: FinTech Industry | Q1 2014 | Segment Focus: Tec...Mercer Capital
Mercer Capital’s quarterly newsletter, FinTech Watch, provides an overview of the FinTech industry, including public market performance, valuation multiples for public FinTech companies, and articles of interest from around the web. In addition, each issue of this quarterly newsletter will focus on one FinTech segment, including payment processors, technology, and solutions companies, examining general economic and industry trends as well as a summary of M&A and venture capital activity for the segment.
The document provides a snapshot of various Indian stock market indices as of September 17, 2012. It lists the current value, day's high and low, previous close, change from previous close in absolute and percentage terms, and other metrics for key indices like SENSEX, Nifty 50, Bank Nifty, CNX Midcap, among others. The indices represented different sectors of the economy like banking, auto, IT, metals, FMCG, infrastructure, and small caps.
- The document provides a snapshot of various Indian stock market indices as of November 28, 2013 at 4:00 PM, including the S&P BSE Sensex, Nifty 50, Bank Nifty, and other sectoral indices.
- It lists the current value, day's high and low, previous close, change in points and percentage, and other metrics like 52-week high/low and PE ratio for each index.
- The indices cover various sectors of the Indian economy like banks, autos, IT, healthcare, infrastructure, commodities, and small/mid cap companies.
- The snapshot offers a one-page overview of the performance and movements of the major stock market indices in India on that
The document is a table listing countries ranked by deaths per million people from COVID-19 over the last 14 days. It provides statistics on total cases, total deaths, mortality rate, and deaths per million for each country on November 2nd, 10th, and 17th, with the largest increases shown in red. The top country by this metric is Czechia, with 18.75 deaths per million people in the last 14 days, a 6.1 increase from November 2nd.
1) The document provides data on open interest, changes in open interest, and closing prices for various stock futures contracts expiring on November 24, 2011.
2) It shows that open interest increased the most for 3IINFOTECH (320000 contracts) and decreased the most for BRFL (-30000 contracts).
3) Closing prices on November 8, 2011 ranged from Rs. 24.85 for 3IINFOTECH to Rs. 7260 for BOSCHLTD with most contracts closing lower that day.
The document provides a snapshot of various Indian stock market indices as of May 29, 2014. It lists the name of each index along with the number of companies it represents, the current value, high and low for the day, previous closing value, change from previous close in absolute and percentage terms, and other metrics like P/E ratio. Key indices mentioned include S&P BSE SENSEX (30 companies), Nifty 50 (50 companies), Bank Nifty (12 banks), CNX Midcap (100 mid-sized companies), among others across sectors like automobiles, banks, capital goods, FMCG, healthcare, IT, metals, oil & gas, and more.
The document describes the Legatum Prosperity Index, which ranks 149 countries based on their performance across 9 pillars of prosperity: economic quality, business environment, governance, personal freedom, social capital, safety and security, education, health, and natural environment. It provides the 2017 rankings and scores for each country on the 9 pillars. Norway ranked first overall in 2017 based on its strong performance across all pillars.
How do you cut the Big Data clutter and tell interesting, insightful and impacting stories? This session talks about the need for Data Visualization & how Visual stories can come to the aid of the Big Data problem associated with meaningful consumption. The point is illustrated by leveraging several industry case studies.
The document provides a snapshot of various Indian stock market indices as of November 22, 2013 at 4:00 PM. It lists the current value, day's high and low, previous close, change from previous close in absolute and percentage terms, 52-week high and low, and price-to-earnings ratio for various indices tracking different sectors like banking, automobiles, IT, FMCG, infrastructure, and more. These indices include S&P BSE Sensex, Nifty 50, Bank Nifty, CNX Midcap, CNX 500 and others. The indices showed mixed changes from the previous day's close with some rising and others falling marginally.
Making Big Data relevant: Importance of Data Visualization and AnalyticsGramener
This document discusses the importance of data visualization and analytics for making big data relevant. It provides examples of how visualizing data through simple charts and graphs can help identify patterns and insights more quickly than just viewing raw numbers. Effective data visualization and analytics helps different levels of an organization consume and understand data in order to make informed decisions.
- The document is an analysis of futures and options contracts for various stocks and indexes in the Indian market as of November 24, 2011.
- It provides data on the open interest, changes in open interest, changes in closing price, support and resistance levels for each underlying asset.
- The underlying assets include stock futures contracts for over 50 companies across sectors, as well as index futures for Nifty, Bank Nifty, Mini Nifty and CNXIT.
#WeeklyNewspaper
RBI increases household income limit for borrowers for NBFCs and MFIs. Demystify Technical Analysis with #Findoc Prime and learn the trade secrets.
Stay updated
https://www.myfindoc.com/research/newspaper
#sharemarket #mutualfunds #trading #stocks #SBI #FinDoc #Gurupurab #GuruNanakDevji
This document presents survey data from the Pew Research Center's 2002 Global Attitudes Survey. It includes responses from people in various regions (e.g. North America, Latin America, Europe) to questions about their current and future life satisfaction, as well as their views on whether their personal situation has improved or declined over the past 5 years. The data is shown in percentages and is broken out by country or region.
- The document provides a snapshot of various Indian stock market indices as of 26-Nov-2013 at 16:00/16:10 including the SENSEX, NIFTY, and other sectoral indices. It lists the current value, day's high and low, previous close, change in points and percentage for each index.
- It also provides the 52-week high and low values as well as the price-to-earnings ratio for each of the indices tracking different sectors of the Indian economy like banking, automobiles, IT, metals, infrastructure etc.
- The snapshot acts as a one-page guide to the performance of the various indices and sectors in the Indian stock market on that particular date
S-map Online is a digital soil mapping and information system developed by Landcare Research in New Zealand. It has provided open access to standardized soil data and attributes to over 77,000 visitors. By making this information easily accessible online, it has enabled greater sharing of soil knowledge and improved land use decision making. There is potential to develop a similar online soil portal for Pacific island countries to address limited soils data and expertise by providing a centralized repository for soil information. This could help support more sustainable agricultural and environmental management.
Michael Green on the Social Progress Index at Business in the Community Irelandsocprog
On May 11, 2017 CEO of the Social Progress Imperative Michael Green joined CEOs and Managing Directors of BITC’s member companies to explore why economic growth, measured as GDP, is failing as an accurate predictor of a nation’s progress, and assess the business implications, together with what new measures will support Irish business to thrive in the long term. Learn more at http://socialprogressimperative.org
The document reports stock market data from the Dhaka Stock Exchange for January 23, 2017. It provides details on the number of issues that advanced, declined, and remained unchanged across different categories. Overall, 159 issues advanced and 142 declined among the 328 total issues traded. It also lists transaction numbers and volumes, as well as market capitalization values for various security types.
This document provides population and geographical data for 122 countries. It lists each country's name, population, land area in square kilometers, population density per square kilometer, and population per square kilometer. The countries are ranked from most populous to least populous based on population size.
This document contains information about Bangladesh's knitwear export industry presented in a course on fabric manufacturing technology. It includes the following key points:
- RMG (ready-made garments) exports, including knitwear, account for the majority of Bangladesh's foreign exchange earnings. Bangladesh is the world's second largest apparel exporter.
- Knitwear exports have increased substantially over the years from $1.5 billion in 2000-2001 to over $13 billion in 2016-2017. Major export items include jackets, T-shirts, and sweaters.
- The largest export markets for Bangladeshi knitwear are European countries like Germany, UK, Spain and Italy as well as the US.
Resultados do Sumário Gir Leiteiro – PNMGL ABCGIL/EMBRAPA 2016 Rural Pecuária
This document provides information on 45 dairy cattle, listing their identification codes, genetic variants, number of daughters and herds, and estimated transmitting abilities (ETA) for various traits like milk yield, fat and protein content, and daughter pregnancy rate. The ETAs along with confidence intervals are given in kilograms or percentages depending on the trait.
This document provides availability data for equipment from September 1, 2016 to June 31, 2017. It lists 22 pieces of equipment (identified as MO06 through TO22) and includes statistics on their effective and operational demand, availability, utilization rates, and time spent in various maintenance states over the reporting period.
The document reports stock market data from the Dhaka Stock Exchange of Bangladesh for January 25, 2017. It provides details on the number of issues that advanced, declined, and remained unchanged across different categories. Overall, most issues declined, with 89 advancing and 228 declining out of a total of 328 issues traded. It also lists transaction numbers and volumes, as well as market capitalization values and price information for some leading equity issues.
This document provides sales growth data for the top 103 molecules from January to March 2013 compared to the same period in the previous year. The top performing molecule was Sildenafil, which saw 999% growth. Overall, total selected molecule sales grew 2.21% in the period. Many common molecules saw moderate single-digit percentage growth rates, with a few experiencing declines in sales.
This document appears to be a ranking list for admission to the B.Tech program at IIITD (Indian Institute of Information Technology, Delhi) for the Delhi region. It contains applicant IDs, categories, JEE ranks, percentages in Class 12 and JEE Paper 1 and Paper 2, total marks, overall ranks and category ranks. Applicants are ranked based on a formula that calculates weighted averages of JEE scores and Class 12 marks, plus any bonus marks for certain categories. The list spans multiple pages and contains thousands of applicants.
Comprehensive IIEC final 2010 refferendum results 09/ 08 /2010Leonardus Ouma
The document provides referendum results from 40 constituencies in Kenya. It shows the number of votes for YES and NO, the percentage of votes each received, voter turnout and rejected ballots. YES received over 70% of the vote in most constituencies, with NO votes ranging from under 10% to around 30% depending on the region.
YO! FESTIVAL 2017: Let's Define the Europe that We Want socprog
The document discusses findings from the Social Progress Index regarding social progress in the European Union. It finds that if the EU were a country, it would rank between the United States and Slovenia in terms of social progress. The EU performs best in providing basic human needs and education but struggles most with opportunity, especially tolerance and inclusion. Health and wellness is also an area of weak performance. While social progress increases with GDP per capita, economic growth alone does not determine social progress as regions with similar GDPs can have vastly different social progress levels.
This document provides stock market index data for various global markets from the quarter ending December 31, 2015. It shows the high, low, close, change, and percentage change for indexes tracking major markets in the US, Asia Pacific region, and globally. Many US indexes saw gains of 5-10% for the quarter, while indexes in Asia saw more mixed performance, with some Chinese and Japanese indexes up over 9% but others down over 5%.
TURKISH CITRUS PROMOTION GROUP CITRUS EXPORT REPORT
CITRUS EXPORT STATISTICS
TOP 20 BUYERS COUNTRIES OF TURKISH CITRUS
SEASONAL TOP 20 BUYER COUNTRIES OF TURKISH CITRUS
TOP 5 BUYER COUNTRIES OF TURKISH CITRUS ( LEMON, MANDARIN, ORANGE, GRAPEFRUIT )
CITRUS STATISTICS ACCORDING EXPORTERS ASSOCIATIONS / UNIONS
CITRUS STATISTICS ACCORDING COUNTRY BLOCS
Visit for more statistics of Turkish Citrus
www.turkishcitrus.com
This document lists exchange rates of various world currencies against the Euro (EUR) as of 2013. It provides the exchange rate of each currency in both directions - how many units of each currency equal 1 EUR, and how many EUR equal 1 unit of each currency. Currencies are grouped by region including North America, South America, Europe, Asia, Oceania, Middle East, Africa and more. There are over 100 currency conversions listed.
The document provides an analysis by Benjamin Blalock Inc. to help Ruth's Chris Steak House choose three new international markets to expand into. It describes a weighted system used to evaluate over 30 countries based on criteria like beef consumption, GDP, population, and urbanization. The top three highest scoring countries were Ireland (73.98), Spain (69.45), and the Bahamas (67.94). Some notes were provided on potential issues with the population data and lack of tourism data. Alternative weighting systems and criteria were suggested to improve the analysis.
This document ranks countries around the world based on their level of economic freedom. Hong Kong ranks first with a score of 88.6 out of 100, indicating a very high level of economic freedom. Countries are also categorized by their overall scores as repressed, mostly unfree, moderately free, mostly free, or free. The rankings are produced by measuring factors such as size of government, legal system efficiency, regulatory efficiency, and open markets.
All daily key levels for November 28, 2014LunaticTrader
My daily key levels for hundreds of stocks and ETF. Stay on the right side of the market and easily spot stocks that offer buy or sell opportunities today.
The document presents regional GDP per capita data for Italian regions from 2000 to 2008. It shows that the richest regions were Valle d'Aosta, Lombardy, and Trentino-Alto Adige, with per capita GDP consistently over 125% of the national average. The poorest regions were Campania, Sicily, and Calabria, with per capita GDP below 65% of the national average throughout the period. Overall, per capita GDP increased across all regions from 2000 to 2008.
The document presents regional GDP per capita data for Italian regions from 2000 to 2008. It shows that the richest regions were Valle d'Aosta, Lombardy, and Trentino-Alto Adige, with per capita GDP consistently over 125% of the national average. The poorest regions were Campania, Sicily, and Calabria, with per capita GDP below 65% of the national average throughout the period. Overall, per capita GDP increased across all regions from 2000 to 2008.
The document appears to be a table containing stock market data including the symbol, share price information such as span per share, total per share, and expected margin per lot for various companies. The table includes columns for the symbol, various share prices, expected margins, totals, and percentages. It contains data for over 50 stock symbols.
Similar to Hong Kong's Profile in The Global Innovation Index 2013 (20)
1) The document discusses the shift from traditional science diplomacy to innovation diplomacy, as globalization has increased scientific and innovation collaboration internationally.
2) Innovation diplomacy involves assessing risks and opportunities across the entire innovation value chain when collaborating between countries. It also faces challenges of differing intellectual property regimes and incentives between public and private actors.
3) Countries are employing new approaches to innovation diplomacy, including funding collaborative R&D partnerships, policy dialogues, international institutional networks, and addressing global challenges through coalitions. However, formal innovation diplomacy strategies remain rare.
Our HK Foundation's report -- based on a draft provided by the Victor and William Fung Foundation through the work of Fung Business Intelligence Centre
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This document discusses alternatives to the current democratic system in Hong Kong that could improve governance. It proposes establishing government-sponsored Future Centres, modeled after similar organizations in Europe. These centres would engage stakeholders in policymaking through research and civic participation. They aim to address issues like policy failures, lack of consensus building, and the government's limited capacity to solve complex problems. The document argues Future Centres could help re-establish public trust in government and alleviate irrational discussions in politics.
This document summarizes a report on crowdsourcing for democracy. It begins with an introduction stating that the report examines cases where crowdsourcing has been used in policymaking processes. It then provides definitions of crowdsourcing, explaining that it involves open online participation in tasks by an undefined group. The remainder of the report provides examples of crowdsourcing applications and analyzes its role and potential in democratic processes.
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The document summarizes five future centers located in the Netherlands that aim to promote innovation in the public sector. It describes each center's focus and goals. The Country House is a joint initiative between four Dutch ministries focused on tackling multi-sector issues. Mobilion serves as a prototype future center for the Department of Public Works & Water Management to address challenges in transportation and water infrastructure. The centers provide workspaces and facilities to encourage collaboration between civil servants and stakeholders on issues facing the government.
The report discusses international developments in IP trading and Hong Kong's position. Globally, IP trading is growing rapidly driven by innovation. The use and creation of IP is shifting towards Asia, especially China. China has overtaken the US in patent applications and leads the world in trademarks and industrial designs. Hong Kong has advantages as an IP trading hub due to its sound legal system, low tax regime, and position as a super-connector between China and the world. The report aims to develop strategies to promote Hong Kong as a premier IP trading hub.
Europe has experienced two fractures in its industrial landscape over the past decades. First, emerging economies like China and Brazil have greatly increased their manufacturing output and share of global production. Second, some traditional European industrial powers like France and the UK have seen declines in industrial employment and value added, while Germany and Eastern European countries have retained stronger industrial sectors. For Europe to maintain 15-20% of value from industry, it will need to invest heavily to transition to new digital technologies and production methods known as Industry 4.0.
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Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
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11. What is a Jupyter Notebook?
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12. Jupyter Notebooks with Code Examples
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HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
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Diese Themen werden behandelt
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TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
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In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
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Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
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2. THEGLOBALINNOVATIONINDEX2013 Rankings
xx
Country/Economy Score (0–100) Rank Income Rank Region Rank Efficiency Ratio Rank Median: 0.78
Switzerland 66.59 1 HI 1 EUR 1 1.00 12
Sweden 61.36 2 HI 2 EUR 2 0.81 55
United Kingdom 61.25 3 HI 3 EUR 3 0.80 60
Netherlands 61.14 4 HI 4 EUR 4 0.91 26
United States of America 60.31 5 HI 5 NAC 1 0.74 86
Finland 59.51 6 HI 6 EUR 5 0.79 67
Hong Kong (China) 59.43 7 HI 7 SEAO 1 0.68 109
Singapore 59.41 8 HI 8 SEAO 2 0.64 121
Denmark 58.34 9 HI 9 EUR 6 0.76 78
Ireland 57.91 10 HI 10 EUR 7 0.81 57
Canada 57.60 11 HI 11 NAC 2 0.78 68
Luxembourg 56.57 12 HI 12 EUR 8 0.89 33
Iceland 56.40 13 HI 13 EUR 9 0.89 30
Israel 55.98 14 HI 14 NAWA 1 0.87 38
Germany 55.83 15 HI 15 EUR 10 0.87 40
Norway 55.64 16 HI 16 EUR 11 0.76 81
New Zealand 54.46 17 HI 17 SEAO 3 0.74 90
Korea, Rep. 53.31 18 HI 18 SEAO 4 0.72 95
Australia 53.07 19 HI 19 SEAO 5 0.65 116
France 52.83 20 HI 20 EUR 12 0.79 63
Belgium 52.49 21 HI 21 EUR 13 0.76 75
Japan 52.23 22 HI 22 SEAO 6 0.66 112
Austria 51.87 23 HI 23 EUR 14 0.71 98
Malta 51.79 24 HI 24 EUR 15 1.06 4
Estonia 50.60 25 HI 25 EUR 16 0.82 51
Spain 49.41 26 HI 26 EUR 17 0.71 101
Cyprus 49.32 27 HI 27 NAWA 2 0.86 43
Czech Republic 48.36 28 HI 28 EUR 18 0.81 53
Italy 47.85 29 HI 29 EUR 19 0.79 62
Slovenia 47.32 30 HI 30 EUR 20 0.78 70
Hungary 46.93 31 HI 31 EUR 21 0.94 23
Malaysia 46.92 32 UM 1 SEAO 7 0.81 52
Latvia 45.24 33 UM 2 EUR 22 0.77 74
Portugal 45.10 34 HI 32 EUR 23 0.73 92
China 44.66 35 UM 3 SEAO 8 0.98 14
Slovakia 42.25 36 HI 33 EUR 24 0.75 84
Croatia 41.95 37 HI 34 EUR 25 0.82 50
United Arab Emirates 41.87 38 HI 35 NAWA 3 0.55 133
Costa Rica 41.54 39 UM 4 LCN 1 1.02 9
Lithuania 41.39 40 UM 5 EUR 26 0.69 105
Bulgaria 41.33 41 UM 6 EUR 27 0.88 35
Saudi Arabia 41.21 42 HI 36 NAWA 4 0.80 61
Qatar 41.00 43 HI 37 NAWA 5 0.71 97
Montenegro 40.95 44 UM 7 EUR 28 0.72 94
Moldova, Rep. 40.94 45 LM 1 EUR 29 1.08 2
Chile 40.58 46 UM 8 LCN 2 0.74 88
Barbados 40.48 47 HI 38 LCN 3 0.73 91
Romania 40.33 48 UM 9 EUR 30 0.88 34
Poland 40.12 49 HI 39 EUR 31 0.68 110
Kuwait 40.02 50 HI 40 NAWA 6 1.03 8
Macedonia, FYR 38.18 51 UM 10 EUR 32 0.72 96
Uruguay 38.08 52 UM 11 LCN 4 0.85 45
Mauritius 38.00 53 UM 12 SSF 1 0.80 59
Serbia 37.87 54 UM 13 EUR 33 0.82 49
Greece 37.71 55 HI 41 EUR 34 0.65 118
Argentina 37.66 56 UM 14 LCN 5 0.94 20
Thailand 37.63 57 UM 15 SEAO 9 0.76 76
South Africa 37.60 58 UM 16 SSF 2 0.71 99
Armenia 37.59 59 LM 2 NAWA 7 0.86 42
Colombia 37.38 60 UM 17 LCN 6 0.76 79
Jordan 37.30 61 UM 18 NAWA 8 0.77 73
Russian Federation 37.20 62 UM 19 EUR 35 0.70 104
Mexico 36.82 63 UM 20 LCN 7 0.81 56
Brazil 36.33 64 UM 21 LCN 8 0.78 69
Bosnia and Herzegovina 36.24 65 UM 22 EUR 36 0.70 103
India 36.17 66 LM 3 CSA 1 1.02 11
Bahrain 36.13 67 HI 42 NAWA 9 0.62 123
Turkey 36.03 68 UM 23 NAWA 10 0.90 29
Peru 35.96 69 UM 24 LCN 9 0.77 72
Tunisia 35.82 70 UM 25 NAWA 11 0.88 36
Ukraine 35.78 71 LM 4 EUR 37 0.89 31
Global Innovation Index rankings
3. xxi
THEGLOBALINNOVATIONINDEX2013 Rankings
Country/Economy Score (0–100) Rank Income Rank Region Rank Efficiency Ratio Rank Median: 0.78
Mongolia 35.77 72 LM 5 SEAO 10 0.62 122
Georgia 35.56 73 LM 6 NAWA 12 0.71 100
Brunei Darussalam 35.53 74 HI 43 SEAO 11 0.65 119
Lebanon 35.47 75 UM 26 NAWA 13 0.66 114
Viet Nam 34.82 76 LM 7 SEAO 12 0.96 17
Belarus 34.62 77 UM 27 EUR 38 0.75 82
Guyana 34.36 78 LM 8 LCN 10 0.97 15
Dominican Republic 33.28 79 UM 28 LCN 11 0.90 28
Oman 33.25 80 HI 44 NAWA 14 0.54 134
Trinidad andTobago 33.17 81 HI 45 LCN 12 0.75 85
Jamaica 32.89 82 UM 29 LCN 13 0.79 65
Ecuador 32.83 83 UM 30 LCN 14 0.94 21
Kazakhstan 32.73 84 UM 31 CSA 2 0.61 126
Indonesia 31.95 85 LM 9 SEAO 13 1.04 6
Panama 31.82 86 UM 32 LCN 15 0.61 127
Guatemala 31.46 87 LM 10 LCN 16 0.79 66
El Salvador 31.32 88 LM 11 LCN 17 0.76 80
Uganda 31.21 89 LI 1 SSF 3 0.95 19
Philippines 31.18 90 LM 12 SEAO 14 0.93 24
Botswana 31.14 91 UM 33 SSF 4 0.51 136
Morocco 30.89 92 LM 13 NAWA 15 0.75 83
Albania 30.85 93 LM 14 EUR 39 0.58 129
Ghana 30.60 94 LM 15 SSF 5 0.80 58
Bolivia, Plurinational St. 30.48 95 LM 16 LCN 18 0.88 37
Senegal 30.48 96 LM 17 SSF 6 0.95 18
Fiji 30.46 97 LM 18 SEAO 15 0.51 137
Sri Lanka 30.45 98 LM 19 CSA 3 0.99 13
Kenya 30.28 99 LI 2 SSF 7 0.78 71
Paraguay 30.28 100 LM 20 LCN 19 0.82 48
Tajikistan 30.00 101 LI 3 CSA 4 0.90 27
Belize 29.98 102 LM 21 LCN 20 0.73 93
CapeVerde 29.69 103 LM 22 SSF 8 0.57 130
Swaziland 29.60 104 LM 23 SSF 9 1.06 5
Azerbaijan 28.99 105 UM 34 NAWA 16 0.65 117
Mali 28.84 106 LI 4 SSF 10 1.13 1
Honduras 28.80 107 LM 24 LCN 21 0.66 115
Egypt 28.48 108 LM 25 NAWA 17 0.68 108
Namibia 28.36 109 UM 35 SSF 11 0.48 139
Cambodia 28.07 110 LI 5 SEAO 16 0.87 39
Gabon 28.04 111 UM 36 SSF 12 0.81 54
Rwanda 27.64 112 LI 6 SSF 13 0.64 120
Iran, Islamic Rep. 27.30 113 UM 37 CSA 5 0.68 107
Venezuela, Bolivarian Rep. 27.25 114 UM 38 LCN 22 1.02 10
Nicaragua 27.10 115 LM 26 LCN 23 0.62 125
Burkina Faso 27.03 116 LI 7 SSF 14 0.79 64
Kyrgyzstan 26.98 117 LI 8 CSA 6 0.56 131
Zambia 26.79 118 LM 27 SSF 15 0.89 32
Malawi 26.73 119 LI 9 SSF 16 0.87 41
Nigeria 26.57 120 LM 28 SSF 17 1.03 7
Mozambique 26.50 121 LI 10 SSF 18 0.67 111
Gambia 26.39 122 LI 11 SSF 19 0.86 44
Tanzania, United Rep. 26.35 123 LI 12 SSF 20 0.66 113
Lesotho 26.29 124 LM 29 SSF 21 0.47 140
Cameroon 25.71 125 LM 30 SSF 22 0.84 47
Guinea 25.70 126 LI 13 SSF 23 1.07 3
Benin 25.10 127 LI 14 SSF 24 0.69 106
Nepal 24.97 128 LI 15 CSA 7 0.76 77
Ethiopia 24.80 129 LI 16 SSF 25 0.74 87
Bangladesh 24.52 130 LI 17 CSA 8 0.84 46
Niger 24.03 131 LI 18 SSF 26 0.71 102
Zimbabwe 23.98 132 LI 19 SSF 27 0.91 25
Uzbekistan 23.87 133 LM 31 CSA 9 0.52 135
Syrian Arab Republic 23.73 134 LM 32 NAWA 18 0.45 142
Angola 23.46 135 UM 39 SSF 28 0.94 22
Côte d'Ivoire 23.42 136 LM 33 SSF 29 0.74 89
Pakistan 23.33 137 LM 34 CSA 10 0.97 16
Algeria 23.11 138 UM 40 NAWA 19 0.46 141
Togo 23.04 139 LI 20 SSF 30 0.56 132
Madagascar 22.95 140 LI 21 SSF 31 0.59 128
Sudan 19.81 141 LM 35 SSF 32 0.49 138
Yemen 19.32 142 LM 36 NAWA 20 0.62 124
Note: World Bank Income Group Classification (July 2012): LI = low income; LM = lower-middle income; UM = upper-middle income; and HI = high income. Regions are based on the United Nations Classification (11 February 2013):
EUR = Europe; NAC = Northern America; LCN = Latin America and the Caribbean; CSA = Central and Southern Asia; SEAO = South East Asia and Oceania; NAWA = Northern Africa and Western Asia; and SSF = Sub-Saharan Africa.
Global Innovation Index rankings (continued)
4. THEGLOBALINNOVATIONINDEX2013 1:TheGlobalInnovationIndex2013
28
Table 5: Heatmap for GII top 10 economies and regional and income group averages (1–100)
Country/Economy
GII
Institutions
Humancapital
andresearch
Infrastructure
Marketsophistication
Businesssophistication
Input
Knowldegeand
technologyoutputs
Creativeoutputs
Output
Efficiency
Switzerland 66.59 87.31 55.45 57.03 77.47 55.33 66.52 61.46 71.84 66.65 1.00
Sweden 61.36 89.92 62.45 63.14 71.82 51.97 67.86 54.12 55.60 54.86 0.81
United Kingdom 61.25 88.44 56.18 59.45 84.60 52.32 68.20 51.07 57.52 54.30 0.80
Netherlands 61.14 92.76 50.64 55.48 69.18 52.85 64.18 53.89 62.30 58.09 0.91
United States of America 60.31 86.05 61.06 52.54 87.09 59.24 69.19 53.62 49.22 51.42 0.74
Finland 59.51 95.31 67.39 57.51 63.19 49.95 66.67 50.81 53.90 52.35 0.79
Hong Kong (China) 59.43 90.80 52.29 63.43 88.58 58.17 70.65 34.21 62.20 48.21 0.68
Singapore 59.41 92.24 63.18 59.19 77.60 69.16 72.27 48.53 44.58 46.56 0.64
Denmark 58.34 95.33 60.36 53.87 74.60 47.53 66.34 41.93 58.77 50.35 0.76
Ireland 57.91 91.95 59.28 42.19 73.22 53.83 64.09 55.58 47.88 51.73 0.81
Average 37.41 62.52 32.69 33.54 48.26 33.70 42.15 27.62 37.73 32.67 0.78
Regions
Northern America 58.96 89.65 55.26 52.79 82.94 54.26 66.98 48.99 52.87 50.93 0.76
Europe 47.64 75.66 46.31 44.91 56.12 41.17 52.83 37.77 47.13 42.45 0.80
South East Asia and Oceania 43.06 66.91 40.23 40.98 57.88 41.19 49.44 32.07 41.28 36.67 0.76
Northern Africa andWestern Asia 35.55 61.23 33.88 33.28 47.06 30.38 41.17 24.09 35.79 29.94 0.72
Latin America and the Caribbean 33.91 55.99 26.28 29.45 42.81 33.20 37.55 21.31 39.22 30.27 0.81
Central and Southern Asia 28.03 47.23 21.55 25.11 40.32 23.65 31.57 24.30 24.68 24.49 0.79
Sub-Saharan Africa 27.38 52.91 18.26 20.52 38.87 25.16 31.14 19.44 27.79 23.62 0.77
Income levels
High income 50.11 80.54 49.05 47.79 60.39 44.71 56.50 38.26 49.18 43.72 0.77
Upper-middle income 35.71 59.53 31.55 33.17 45.59 31.66 40.30 25.61 36.63 31.12 0.77
Lower-middle income 29.83 50.82 23.84 24.49 41.66 26.83 33.53 21.25 31.01 26.13 0.78
Low income 26.43 49.69 14.99 19.25 38.68 25.81 29.68 19.54 26.84 23.19 0.79
Note: Darker shadings indicate better performances. Countries/economies are classified according to the World Bank Income Group and the United Nations Regional Classifications (July 2012 and 11 February 2013, respectively).
Worst Average Best
5. THEGLOBALINNOVATIONINDEX2013 2:TheEvolvingGeographyofInnovation
76
Figure 5: Top world start-up ecosystems, 2012
5 10 15 20 250
5
10
15
20
25
Fundingindex
Talent index
Source: Author’s elaboration, based on Telefónica Digital and Startup Genome, 2012.
Note: The bubble size indicates the positioning of each territory in the total ranking, where Silicon Valley ranks at the top (i.e., 20) and Santiago at the bottom (i.e., 1). In each index, Silicon Valley is assumed to be the reference and it ranks at the
top (i.e., it scores 20). The funding index measures the availability of risk capital in each start-up ecosystem, while the talent index ranks the skills of the start-up founders in each territory, taking into account different variables including age,
education, work experience, and industry domain expertise, among other factors.
with a few places concentrating most
of global innovative capabilities and
financing; (2) persistence in the
leadership of traditional innovation
hotspots, such as California, and the
rise of new places for innovation in
specific regions and cities in China
and other emerging economies; and
(3) a growing internationalization of
innovative regions and cities.
The new evolving geography
of innovation reaffirms the impor-
tance of territory. Competences and
institutions tend to cluster in specific
locations. Effective innovation poli-
cies recognize the local dimension of
innovation and take it into account
in policy design and implementa-
tion. This is even truer in the new
global economic landscape where
new, and different, innovation
hotspots are emerging. For exam-
ple, knowledge-intensive FDI does
not spontaneously generate linkages
with the local economy. Often, local
innovation and production systems
lag behind and face difficulties in
providing critical inputs and services
for international companies.
In parallel, foreign companies
tend to show little interest in devel-
oping a network of local suppliers
because the smaller local suppliers
do not exhibit economies of scale,
and because of trust and quality
requirements on the part of the for-
eign companies. Regional and local
governments can play a determinant
role in fostering local innovation
by promoting synergies between
knowledge-intensive FDI and the
local innovation system. For exam-
ple, in the city of Porto Alegre in
the state of Rio Grande do Sul in
Brazil, the localization of an IBM
design centre in the local technol-
ogy park has contributed to increas-
ing the brand-value of the park and
to attracting other innovative com-
panies to co-locate in the same site;
matched with the national effort of
creating national technology insti-
tutes in the different Brazilian states,
this has helped to create a critical
mass of innovative companies in the
state. The creation of new innovative
firms can contribute to the dyna-
mism of a local production system.
Their creation faces several barriers,
and public policies can play a deter-
minant role in helping to create the
conditions that foster the develop-
ment of start-ups. The experience of
both OECD and non-OECD coun-
tries shows that policies can help by
offering seed capital for the creation
of these firms, as well as by provid-
ing incentives for the development
of venture capital and angel inves-
tors. Policies can also facilitate access
to soft and hard infrastructure and
develop a business-friendly legal
framework.15
History has also shown that suc-
cess is not achieved by trying to
Silicon Valley
Moscow
Boston
Bangalore
Tel Aviv
Santiago
New York City
London Los Angeles
Seattle
Toronto
Singapore
São Paulo
Berlin
Vancouver
Paris
Sydney
Chicago
Waterloo
Melboure
6. THEGLOBALINNOVATIONINDEX2013 I:Country/EconomyProfiles
184
Note: l indicates a strength; a weakness; * an index; † a survey question.
Key indicators
Population (millions)..............................................................................................................7.5
GDP (US$ billions)...............................................................................................................258.0
GDP per capita, PPP$.....................................................................................................50,708.9
Income group...........................................................................................................High income
Region.............................................................................................South East Asia and Oceania
Score (0–100)
or value (hard data) Rank
Global Innovation Index (out of 142).................................. 59.4 7
Innovation Output Sub-Index...................................................................................48.2 15
Innovation Input Sub-Index......................................................................................70.7 2 l
Innovation Efficiency Ratio.........................................................................................0.7 109
Global Innovation Index 2012 (based on GII 2012 framework).................................58.7 8
1 Institutions.....................................................90.8 9
1.1 Political environment...........................................................................82.8 19
1.1.1 Political stability*....................................................................................89.6 23
1.1.2 Government effectiveness*.............................................................85.1 12
1.1.3 Press freedom*.........................................................................................73.8 49
1.2 Regulatory environment...................................................................96.8 7
1.2.1 Regulatory quality*...............................................................................98.5 3 l
1.2.2 Rule of law*................................................................................................88.6 18
1.2.3 Cost of redundancy dismissal, salary weeks............................8.0 1
1.3 Business environment.........................................................................92.8 4
1.3.1 Ease of starting a business*.............................................................95.8 9
1.3.2 Ease of resolving insolvency*.........................................................86.2 16
1.3.3 Ease of paying taxes*...........................................................................96.3 4
2 Human capital & research...........................52.3 21
2.1 Education....................................................................................................51.7 76
2.1.1 Current expenditure on education, % GNI...............................2.8 98
2.1.2 Public expenditure/pupil, % GDP/cap......................................18.9 63
2.1.3 School life expectancy, years..........................................................15.8 23
2.1.4 PISA scales in reading, maths, & science..............................545.6 2 l
2.1.5 Pupil-teacher ratio, secondary.......................................................17.8 87
2.2 Tertiary education..................................................................................63.0 4
2.2.1 Tertiary enrolment, % gross.............................................................60.4 34
2.2.2 Graduates in science & engineering, %...................................34.7 6
2.2.3 Tertiary inbound mobility, %..............................................................6.6 26
2.2.4 Gross tertiary outbound enrolment, %.......................................7.3 8
2.3 Research & development (R&D)...................................................42.2 23
2.3.1 Researchers, headcounts/mn pop.......................................3,293.4 26
2.3.2 Gross expenditure on R&D, % GDP................................................0.8 40
2.3.3 QS university ranking, average score top 3*.........................83.8 5
3 Infrastructure................................................63.4 1 l
3.1 Information & communication technologies (ICTs).........86.9 3 l
3.1.1 ICT access*..................................................................................................92.1 1 l
3.1.2 ICT use*........................................................................................................81.7 1 l
3.1.3 Government’s online service*..........................................................n/a n/a
3.1.4 E-participation*.........................................................................................n/a n/a
3.2 General infrastructure..........................................................................42.8 24
3.2.1 Electricity output, kWh/cap......................................................5,416.5 39
3.2.2 Electricity consumption, kWh/cap.......................................5,923.3 34
3.2.3 Logistics performance*......................................................................78.0 2 l
3.2.4 Gross capital formation, % GDP....................................................23.3 67
3.3 Ecological sustainability.....................................................................60.6 6
3.3.1 GDP/unit of energy use, 2000 PPP$/kg oil eq.....................21.4 1 l
3.3.2 Environmental performance*..........................................................n/a n/a
3.3.3 ISO 14001 environmental certificates/bn PPP$ GDP.........2.8 34
4 Market sophistication..................................88.6 1 l
4.1 Credit..............................................................................................................95.4 1 l
4.1.1 Ease of getting credit*........................................................................93.8 4
4.1.2 Domestic credit to private sector, % GDP...........................202.2 5
4.1.3 Microfinance gross loans, % GDP..................................................n/a n/a
4.2 Investment.................................................................................................83.0 1 l
4.2.1 Ease of protecting investors*..........................................................93.0 3 l
4.2.2 Market capitalization, % GDP......................................................357.8 1 l
4.2.3 Total value of stocks traded, % GDP........................................624.1 1
4.2.4 Venture capital deals/tr PPP$ GDP.................................................0.0 36
4.3 Trade & competition............................................................................87.3 7
4.3.1 Applied tariff rate, weighted mean, %.........................................0.0 1 l
4.3.2 Non-agricultural mkt access weighted tariff, %.....................1.6 89
4.3.3 Intensity of local competition†.....................................................79.6 8
5 Business sophistication...............................58.2 3 l
5.1 Knowledge workers..............................................................................64.8 20
5.1.1 Knowledge-intensive employment, %.....................................36.0 16
5.1.2 Firms offering formal training, % firms.......................................n/a n/a
5.1.3 R&D performed by business, % GDP............................................0.3 38
5.1.4 R&D financed by business, %.........................................................45.8 28
5.1.5 GMAT mean score...............................................................................583.1 11
5.1.6 GMAT test takers/mn pop. 20–34.........................................1,521.0 2 l
5.2 Innovation linkages..............................................................................42.0 28
5.2.1 University/industry research collaboration†.........................64.1 23
5.2.2 State of cluster development†......................................................65.9 12
5.2.3 R&D financed by abroad, %................................................................6.1 54
5.2.4 JV–strategic alliance deals/tr PPP$ GDP.....................................0.2 8
5.2.5 Patent families filed in 3+ offices/bn PPP$ GDP...................0.3 31
5.3 Knowledge absorption.......................................................................67.8 2 l
5.3.1 Royalty & license fees payments, % service imports..........3.9 38
5.3.2 High-tech imports less re-imports, %.......................................42.3 1 l
5.3.3 Comm., computer & info. services imports, %........................4.4 64
5.3.4 FDI net inflows, % GDP.......................................................................36.3 1
6 Knowledge & technology outputs............34.2 38
6.1 Knowledge creation.............................................................................11.5 65
6.1.1 Domestic resident patent ap/bn PPP$ GDP............................0.5 78
6.1.2 PCT resident patent ap/bn PPP$ GDP.........................................0.0 92
6.1.3 Domestic res utility model ap/bn PPP$ GDP..........................1.1 29
6.1.4 Scientific & technical articles/bn PPP$ GDP............................n/a n/a
6.1.5 Citable documents H index..........................................................268.0 25
6.2 Knowledge impact................................................................................55.7 7
6.2.1 Growth rate of PPP$ GDP/worker, %............................................5.4 10
6.2.2 New businesses/th pop. 15–64.....................................................27.7 1
6.2.3 Computer software spending, % GDP.........................................0.4 21
6.2.4 ISO 9001 quality certificates/bn PPP$ GDP...........................10.5 45
6.2.5 High- & medium-high-tech manufactures, %.....................24.7 39
6.3 Knowledge diffusion............................................................................24.1 80
6.3.1 Royalty & license fees receipts, % service exports...............0.4 63
6.3.2 High-tech exports less re-exports, %...........................................4.3 41
6.3.3 Comm., computer & info. services exports, %........................2.0 118
6.3.4 FDI net outflows, % GDP...................................................................32.8 3
7 Creative outputs...........................................62.2 5
7.1 Intangible assets.....................................................................................55.1 22
7.1.1 Domestic res trademark reg/bn PPP$ GDP...........................43.8 39
7.1.2 Madrid trademark registrations/bn PPP$ GDP......................n/a n/a
7.1.3 ICT & business model creation†...................................................72.3 18
7.1.4 ICT & organizational model creation†.......................................68.5 14
7.2 Creative goods & services.................................................................68.6 3 l
7.2.1 Audio-visual & related services exports, %...............................0.1 49
7.2.2 National feature films/mn pop. 15–69........................................9.4 16
7.2.3 Paid-for dailies, circulation, % pop. 15–69..............................39.5 6
7.2.4 Printing & publishing manufactures, %...................................18.3 1
7.2.5 Creative goods exports, %...................................................................7.3 9
7.3 Online creativity......................................................................................70.0 10
7.3.1 Generic top-level domains (TLDs)/th pop. 15–69.............89.5 8
7.3.2 Country-code TLDs/th pop. 15–69.............................................48.1 38
7.3.3 Wikipedia monthly edits/mn pop. 15–69........................9,619.6 10
7.3.4 Video uploads on YouTube/pop. 15–69..................................86.5 14
HongKong(China)