he objective of the paper is to describe the low status of human development and increasing intrastate
disparity regarding all the development indicators across the districts and regions in the state. The low
income levels keep the expenditure on social sector at a low level which results in low status of human
development. On the other hand, the low status of human development acts as a major economic constraint on
economic development of the state. The state presents a dismal scenario with regard to both economic growth
and human development. It is characterized by low levels of per capita income, high incidence of poverty,
sluggish economic growth, high population pressure along with high rates of population growth, high birth and
fertility rates, widespread illiteracy, high infant mortality and death rates and low life expectancy. Social sector
expenditure in U.P. is lower even as compared to other backward states. This was true for the different
components of social sector as well. These figures are reflective of the low priority to social sector given by the
policy makers in the state and underscore the need of substantial improvement in levels of social sector
expenditure in U.P.
This document discusses a study that aimed to assess the determinants of poverty in Mkinga District, Tanzania. The study found that nearly 93% of respondents in the area were poor. Using an ordinal regression model and data from 210 households, the study identified several factors associated with poverty in the area, including gender (with women more affected), smaller land size, smaller farm size, larger household size, and higher dependency ratio. The study recommends empowering people, especially women, to participate in economic activities using local resources to alleviate poverty in the district.
The document discusses demographic transition and demographic dividend. It begins by explaining demographic transition as the stages a country goes through when transitioning from non-industrial to industrial. It then defines demographic dividend as the economic growth resulting from changes in a country's population age structure, mainly when the working age population is larger than the non-working populations. The document provides details on India's current demographic dividend, including that India has one of the youngest populations globally and its working age population recently grew larger than the dependent population. Finally, it discusses the challenges of an aging global population, including rising healthcare costs and fewer working age people to support more retired individuals.
There are several traditional and modern ways to measure a country's level of development. Traditionally, development was equated with economic growth and countries were classified based on their Gross National Product per capita. However, GNP has limitations and does not reflect differences in cost of living between countries. More modern measures include Purchasing Power Parity per capita, energy consumption, percentage of the workforce in different sectors, and quality of life indices like the Human Development Index which considers education, income, and health. Collecting accurate social and demographic data to measure development can be challenging for various reasons.
Prospects for Economic Growth in Nigeria – a demographic perspectiveguest06bff3
Presentation to the Task Force by its co-chair, David Bloom. The presentation sets out salient facts describing Nigeria’s economy and population; explains the theory of the demographic dividend; and asks whether there is a demographic dividend in Nigeria’s future.
This document presents information on GDP and the Physical Quality of Life Index as indicators of welfare. It discusses how GDP is used as a welfare indicator but fails to capture many important factors like wealth distribution, non-market transactions, non-monetary and black markets, the type of production, and sustainable growth. The Physical Quality of Life Index is then introduced as an alternate measure using literacy rates, infant mortality, and life expectancy, with the details on how it is calculated provided.
Population dynamics and economic growth in sub saharan africaAlexander Decker
This document summarizes a study that examines the effects of population dynamics (mortality and fertility rates) on economic growth in sub-Saharan Africa from 1970 to 2005. The study uses pooled OLS and dynamic panel data analysis on data from 35 sub-Saharan African countries. The results show that higher total fertility rates had a negative impact on economic growth, while higher life expectancy at birth had a positive influence on economic growth. The region needs to address its high population growth to achieve sustainable economic development.
Demography and Economic Growth in Nigeriaguest7a0d21
Presentation given by David Bloom and Salal Humair to the Committee on African Studies Harvard Africa Seminar, setting out the details and aims of the NextGenerationNigeria project. This presentation also contains the speaking notes
Demography and Economic Growth in Nigeriaguest7a0d21
Presentation given by David Bloom and Salal Humair to the Committee on African Studies Harvard Africa Seminar, setting out the details and aims of the NextGenerationNigeria project. This presentation also contains the speaking notes
This document discusses a study that aimed to assess the determinants of poverty in Mkinga District, Tanzania. The study found that nearly 93% of respondents in the area were poor. Using an ordinal regression model and data from 210 households, the study identified several factors associated with poverty in the area, including gender (with women more affected), smaller land size, smaller farm size, larger household size, and higher dependency ratio. The study recommends empowering people, especially women, to participate in economic activities using local resources to alleviate poverty in the district.
The document discusses demographic transition and demographic dividend. It begins by explaining demographic transition as the stages a country goes through when transitioning from non-industrial to industrial. It then defines demographic dividend as the economic growth resulting from changes in a country's population age structure, mainly when the working age population is larger than the non-working populations. The document provides details on India's current demographic dividend, including that India has one of the youngest populations globally and its working age population recently grew larger than the dependent population. Finally, it discusses the challenges of an aging global population, including rising healthcare costs and fewer working age people to support more retired individuals.
There are several traditional and modern ways to measure a country's level of development. Traditionally, development was equated with economic growth and countries were classified based on their Gross National Product per capita. However, GNP has limitations and does not reflect differences in cost of living between countries. More modern measures include Purchasing Power Parity per capita, energy consumption, percentage of the workforce in different sectors, and quality of life indices like the Human Development Index which considers education, income, and health. Collecting accurate social and demographic data to measure development can be challenging for various reasons.
Prospects for Economic Growth in Nigeria – a demographic perspectiveguest06bff3
Presentation to the Task Force by its co-chair, David Bloom. The presentation sets out salient facts describing Nigeria’s economy and population; explains the theory of the demographic dividend; and asks whether there is a demographic dividend in Nigeria’s future.
This document presents information on GDP and the Physical Quality of Life Index as indicators of welfare. It discusses how GDP is used as a welfare indicator but fails to capture many important factors like wealth distribution, non-market transactions, non-monetary and black markets, the type of production, and sustainable growth. The Physical Quality of Life Index is then introduced as an alternate measure using literacy rates, infant mortality, and life expectancy, with the details on how it is calculated provided.
Population dynamics and economic growth in sub saharan africaAlexander Decker
This document summarizes a study that examines the effects of population dynamics (mortality and fertility rates) on economic growth in sub-Saharan Africa from 1970 to 2005. The study uses pooled OLS and dynamic panel data analysis on data from 35 sub-Saharan African countries. The results show that higher total fertility rates had a negative impact on economic growth, while higher life expectancy at birth had a positive influence on economic growth. The region needs to address its high population growth to achieve sustainable economic development.
Demography and Economic Growth in Nigeriaguest7a0d21
Presentation given by David Bloom and Salal Humair to the Committee on African Studies Harvard Africa Seminar, setting out the details and aims of the NextGenerationNigeria project. This presentation also contains the speaking notes
Demography and Economic Growth in Nigeriaguest7a0d21
Presentation given by David Bloom and Salal Humair to the Committee on African Studies Harvard Africa Seminar, setting out the details and aims of the NextGenerationNigeria project. This presentation also contains the speaking notes
This document discusses various indicators used to measure economic development. It describes two main categories of indicators - income-based and quality-based. Among the most important indicators are per capita income, the Physical Quality of Life Index (PQLI), and the Human Development Index (HDI). The PQLI uses measures of life expectancy, infant mortality, and literacy to evaluate quality of life. The HDI takes a broader approach by considering factors like health, education, and standard of living. While useful, all indicators have limitations. The HDI is now widely used internationally to provide a more comprehensive view of development.
The document summarizes research on the relationship between economic growth and poverty in Nigeria. It finds that while Nigeria's GDP per capita grew by nearly 70% from 1992-2009, the poverty rate only declined by 6% over this period. Several factors are hypothesized to influence this relationship, including high income inequality, Nigeria's reliance on the oil sector for growth, high unemployment, corruption, and poor education and health outcomes. The growth elasticity of poverty in Nigeria is found to vary widely depending on the time period studied, suggesting economic growth has not consistently led to reductions in poverty.
The document summarizes the World Happiness Report published by the UN which ranks countries based on factors that contribute to happiness. It discusses how Bhutan first developed the concept of gross national happiness and how the UN later invited countries to measure citizen happiness. The top 10 happiest countries according to the report are Norway, Denmark, Iceland, Switzerland, Finland, Netherlands, Canada, New Zealand, Australia, and Sweden. The report considers factors like income, health, education, governance, social support, and corruption to calculate national happiness scores.
Pub impact of high population on nigerian economyOnyeka Okwuosa
This document summarizes a research paper that analyzes the impact of population growth on Nigeria's economy. It finds that contrary to popular belief, population growth in Nigeria has had a positive impact on economic growth. Using regression analysis of time series data from 1980-2014, it finds a positive relationship between total population levels and economic growth in Nigeria. However, it also finds that human capital development has not had a significant impact on economic growth. The paper recommends policies to boost economic productivity and further enhance growth, such as attaining demographic policies and revitalizing human capital development.
Small assignment I did to investigate Human Development Indicators of Pakistan V Srilanka V UAE and couple more.
All data is available from UNDP Website
Poverty and unemployment in india by Abhishek Lahiryabhisheklahiry
The document discusses the concepts of poverty and unemployment in India, their relationship, and efforts to reduce them. It provides historical data showing that poverty in India peaked in the 1960s and has declined since economic reforms in the 1990s, but still impacts hundreds of millions who lack basic necessities. Unemployment rates average around 9% and are caused by factors like population growth, low agricultural productivity, and lack of skills training. Several government programs have aimed to reduce poverty through rural development, employment guarantees, and self-employment initiatives, but more remains to be done to educate citizens and implement effective policies.
Measurement and Identification of Poverty in Preparation for the ‘World we wa...iosrjce
IOSR Journal of Economics and Finance (IOSR-JEF) discourages theoretical articles that are limited to axiomatics or that discuss minor variations of familiar models. Similarly, IOSR-JEF has little interest in empirical papers that do not explain the model's theoretical foundations or that exhausts themselves in applying a new or established technique (such as cointegration) to another data set without providing very good reasons why this research is important.
The Human Development Index (HDI) is a composite indicator used to rank countries by level of human development. It takes into account measures of health (life expectancy), education (adult literacy and years of schooling), and income (GDP per capita) to provide a broader view of development than income alone. The Gender Development Index (GDI) is a related index that measures development based solely on female indicators to assess gender inequality. Calculating HDI and comparing scores across countries helps set development goals and identify areas for improvement within and between nations.
Off-farm employment in rural areas can be a major contributor to rural poverty reduction and decent rural employment. While women are highly active in the agricultural sector, they are less active than men in off-farm employment. This study analyzes the determinants of participation in off-farm employment of women in rural Uganda. The study is based on a field survey conducted in nine districts with the sample size of 1200 individual females. A two-stage Hechman’s sample selection model was applied to capture women’s decision to participate and the level of participation in non-farm economic activities. Summary statistics of the survey data from rural Uganda shows that: i) poverty and non-farm employment has a strong correlation, implying the importance of non-farm employment as a means for poverty reduction; and ii) there is a large gender gap to access non-farm employment, but the gender gap has been significantly reduced from group of older age to younger generation. The econometric results finds that the following factors have a significant influence on women’s participation in off-farm employment: education level of both the individual and household head (positive in both stages); women’s age (negative in both stages); female-headed household (negative in first stage); household head of polygamous marriage (negative in both stages); distance from major town (negative in the first stage); household size (positive in the second stage); dependency ratio (negative in the second stage); access to and use of government extension services (positive in the first stage); access to and use of an agricultural loan (negative in the second stage); and various district dummies variables. The implications of these findings suggest that those policies aimed at enhancing the identified determinants of women off-farm employment can promote income-generating opportunities for women groups in comparable contexts. In order to capitalize on these positive linkages, policies should be designed to improve skills and knowledge by providing education opportunities and increasing access to employment training, assistance services and loans for non-farm activities and by targeting women in female-headed, large and distant households. The government should increase investments in public infrastructure and services, such as roads, telecommunications and emergency support.
This document examines the impact of population and workforce aging on economic growth in Taiwan. It finds that:
1) Taiwan's population is aging rapidly and is expected to become a hyper-aged society within 8 years, aging faster than other developed countries.
2) While some studies find workforce aging negatively impacts economic growth, others find no decline or a positive impact on productivity.
3) The study empirically analyzes Taiwan data from 1981-2017 to examine the impact of workforce aging and dependency ratios on economic growth, finding the aging workforce positively impacts growth while the old-age dependency ratio negatively impacts growth.
Economic development involves increasing a nation's wealth over time through economic growth, as measured by increases in gross domestic product. It requires using tools from various fields like finance, planning and economics. Sustainable development aims to meet current needs without compromising future generations' ability to meet their own needs. Countries vary widely in their levels of development, with more economically developed countries in the northern hemisphere owning most of the world's wealth compared to less developed countries in the south. Development encompasses both economic factors like GNP per capita and social factors like education and health outcomes.
This presentation explains all the important points about one of the major measures of development of a country that is the Human Development Index. This presentation includes the definition,history,dimension, calculation,geographical coverage, past top countries and the criticism of Human Development Index.
India Inequality Report 2018 by Oxfam IndiaOxfam India
The document provides an overview and analysis of rising inequality in India. It notes that while India is often considered a relatively equal country by international standards, evidence shows that inequality in India is high and rising based on consumption, income, and wealth. Inequality has increased sharply since the 1990s with economic reforms. The top income groups have experienced much faster growth in consumption and wealth compared to lower and vulnerable groups. Inequality exists across multiple dimensions such as region, caste, religion, gender, and access to healthcare, education and employment opportunities. Historically marginalized groups face disadvantages in wealth accumulation and access to basic services that impact health, nutrition and education outcomes. The rise in inequality is linked to India's growth model which has distributed
MEASUREMENT OF GROWTH AND DEVELOPMENT: A SPECIAL FOCUS ON HUMAN DEVELOPMENT ...Dr. Avinash S Naik
The document discusses the methodology of calculating the Human Development Index (HDI). It explains the old and new methods of calculating the HDI using 3 dimensions - health, education, and standard of living. Under the old method, health was measured by life expectancy, education by adult literacy and gross enrollment rates, and standard of living by GDP per capita. The new method uses life expectancy for health, mean and expected years of schooling for education, and GDP per capita for standard of living. The document provides examples of calculating HDI for India under both methods and compares HDI ranks and values of India and other countries. It also discusses HDI ranks of Indian states and limitations of HDI.
Needs, poverty and democracy in nigeria – an assessmentKayode Fayemi
This document analyzes trends in poverty and inequality in Nigeria over the past 20 years. It finds that poverty has significantly increased, with over 70% of Nigerians now living below the poverty line. Poverty is most prevalent in rural areas and northern regions but has also grown substantially in urban areas. Women and girls experience higher rates of poverty than men due to social and economic inequalities. While Nigeria has significant oil wealth, the Niger Delta region remains deeply impoverished due to underdevelopment and political repression over many years of military rule. Inadequate infrastructure, education, healthcare and opportunities continue to plague Nigeria and exacerbate poverty conditions.
This document discusses trends in poverty and inequality in Nigeria over the past 20 years. It notes that poverty levels have risen sharply from 28.1% of the population living below the poverty line in 1980 to over 70% in 2002. While some expected democracy to reduce poverty, four years after civilian rule began in 1999 poverty continues to increase. The document examines factors slowing democratic consolidation and options for pro-poor policies and development in Nigeria.
Population growth & economics development in pakistanzaibigrewal
1) Pakistan's population has grown rapidly from 132 million in 1998 to an estimated 187 million in 2013, posing economic challenges for the country.
2) Rapid population growth is straining Pakistan's ability to provide adequate health, education, and job opportunities, and is exacerbating issues of poverty and unemployment.
3) Pakistan can reduce population growth by improving education, raising women's social and economic status, expanding family planning programs, and increasing job opportunities to lower fertility rates.
Housing: Opportunity, Security, and Empowerment for the Pooridspak
This document discusses housing as an important dimension of poverty reduction in Pakistan. It makes several key points:
1) Housing is a fundamental human need that provides security, but rapid urbanization and population growth have resulted in a shortage of over 4 million housing units in Pakistan, forcing many to live in slums.
2) Adequate housing ensures opportunity, security, and empowerment, which are key pillars for reducing poverty. Inadequate housing creates insecurity and disempowerment among the poor.
3) The number of households is growing faster than the population in most countries due to decreasing household sizes. This increases the demand for housing, posing challenges for housing supply especially in urban areas of developing nations
The Human Development Index (HDI) was created by Pakistani economist Mehboob-Ul-Haq and Nobel laureate Amartya Sen to evaluate countries based on key development factors beyond just income. The HDI focuses on three areas: health as measured by life expectancy, education as measured by adult literacy and enrollment rates, and income as measured by GDP per capita. Countries are ranked on an HDI score from 0 to 1, where a score closer to 1 indicates a higher level of human development. The document provides step-by-step instructions for calculating a country's HDI scores based on data from the United Nations.
‘The Contribution Of MGNREGA In The Empowerment Of The Scheduled Tribes Throu...inventionjournals
ABSTRACT: India has been listed as one among 88 countries where people live with hunger. In the Global Hunger Index 2008, India occupied 66th position out of 88 countries listed by International Food Policy Research Institute, Washington, USA. India is a democratic country where 80 percent people reside in rural areas. Socio-Economic status of any country is depends on its economy. Rural economy depends on agriculture. In India rural development enhances Indian economy which ultimately reduces to the poverty. So economy, rural development and poverty are interrelated and interdependent to each other In India the contribution of agriculture in GDP is about 1/5th. In developing nations rural development is supposed a global attention. In India present strategy of rural development is to provide basic amenities infrastructure, better livelihood opportunity and to terminate poverty through various wage and self-employment innovative programmes. The government of India has taken various steps to reduce rural poverty in India such as Small Farmer Development Programmes, Drought Area Development Programmes and Food for Work Programme, Minimum Needs Programme, Integrated Rural Development Programme, National Rural Employment Programme, Rural Labour Employment Guarantee Programme and Assurance on Employment etc. Undoubtedly, government of India has been implemented many government planning to eradicate poverty such as Swaran Jayanti Swarojagar Yojana (SGSY), Drought Prove Area Programme (DPAP), Tribal Area Development Programme (TADP), High Yield Variety Programme (HYVP), Training of Rural Youth for Self-Employment (TRYSEM), Rural Landless Employment Guarantee Programme (RLEGP). In this concern NREGA Act was passed in 2005 that guaranteed 100 days wage of employment in a year to every rural house. Government of India has renamed the NREGA as MGNREGA on 2nd October 2009. On 2, Feb, 2006 it was launched in 200 select districts and was extended to 130 additional districts during 2007-08. It is now implemented in 645 districts of the country. Scheduled Tribes are in the last ladder of development as we have a provision of poverty eradication since 1951 to 2014 (near about 66 years plus), but the position of Scheduled Tribes in our Indian society is same as before. Majority of the Scheduled Tribes is in Madhya Pradesh 14, 7 crore. .Through this research paper we will try to focus the impact of MGNREGA on poverty alleviation and rural development in Madhya Pradesh’ Sheopur district.
Economic growth and social development an empirical study on selected states ...Alexander Decker
The document summarizes a study that examines the relationship between economic growth and social development across 16 Indian states from 1981 to 2009 using panel regression analysis. The study finds that most economic indicators like foodgrain production, healthcare access, infrastructure development, government spending on education/culture, and petroleum consumption had a significant impact on reducing death rates across states. However, the impact varied between different states in India. The regression model incorporates state fixed effects to account for differences in social development outcomes across states over time.
This document discusses various indicators used to measure economic development. It describes two main categories of indicators - income-based and quality-based. Among the most important indicators are per capita income, the Physical Quality of Life Index (PQLI), and the Human Development Index (HDI). The PQLI uses measures of life expectancy, infant mortality, and literacy to evaluate quality of life. The HDI takes a broader approach by considering factors like health, education, and standard of living. While useful, all indicators have limitations. The HDI is now widely used internationally to provide a more comprehensive view of development.
The document summarizes research on the relationship between economic growth and poverty in Nigeria. It finds that while Nigeria's GDP per capita grew by nearly 70% from 1992-2009, the poverty rate only declined by 6% over this period. Several factors are hypothesized to influence this relationship, including high income inequality, Nigeria's reliance on the oil sector for growth, high unemployment, corruption, and poor education and health outcomes. The growth elasticity of poverty in Nigeria is found to vary widely depending on the time period studied, suggesting economic growth has not consistently led to reductions in poverty.
The document summarizes the World Happiness Report published by the UN which ranks countries based on factors that contribute to happiness. It discusses how Bhutan first developed the concept of gross national happiness and how the UN later invited countries to measure citizen happiness. The top 10 happiest countries according to the report are Norway, Denmark, Iceland, Switzerland, Finland, Netherlands, Canada, New Zealand, Australia, and Sweden. The report considers factors like income, health, education, governance, social support, and corruption to calculate national happiness scores.
Pub impact of high population on nigerian economyOnyeka Okwuosa
This document summarizes a research paper that analyzes the impact of population growth on Nigeria's economy. It finds that contrary to popular belief, population growth in Nigeria has had a positive impact on economic growth. Using regression analysis of time series data from 1980-2014, it finds a positive relationship between total population levels and economic growth in Nigeria. However, it also finds that human capital development has not had a significant impact on economic growth. The paper recommends policies to boost economic productivity and further enhance growth, such as attaining demographic policies and revitalizing human capital development.
Small assignment I did to investigate Human Development Indicators of Pakistan V Srilanka V UAE and couple more.
All data is available from UNDP Website
Poverty and unemployment in india by Abhishek Lahiryabhisheklahiry
The document discusses the concepts of poverty and unemployment in India, their relationship, and efforts to reduce them. It provides historical data showing that poverty in India peaked in the 1960s and has declined since economic reforms in the 1990s, but still impacts hundreds of millions who lack basic necessities. Unemployment rates average around 9% and are caused by factors like population growth, low agricultural productivity, and lack of skills training. Several government programs have aimed to reduce poverty through rural development, employment guarantees, and self-employment initiatives, but more remains to be done to educate citizens and implement effective policies.
Measurement and Identification of Poverty in Preparation for the ‘World we wa...iosrjce
IOSR Journal of Economics and Finance (IOSR-JEF) discourages theoretical articles that are limited to axiomatics or that discuss minor variations of familiar models. Similarly, IOSR-JEF has little interest in empirical papers that do not explain the model's theoretical foundations or that exhausts themselves in applying a new or established technique (such as cointegration) to another data set without providing very good reasons why this research is important.
The Human Development Index (HDI) is a composite indicator used to rank countries by level of human development. It takes into account measures of health (life expectancy), education (adult literacy and years of schooling), and income (GDP per capita) to provide a broader view of development than income alone. The Gender Development Index (GDI) is a related index that measures development based solely on female indicators to assess gender inequality. Calculating HDI and comparing scores across countries helps set development goals and identify areas for improvement within and between nations.
Off-farm employment in rural areas can be a major contributor to rural poverty reduction and decent rural employment. While women are highly active in the agricultural sector, they are less active than men in off-farm employment. This study analyzes the determinants of participation in off-farm employment of women in rural Uganda. The study is based on a field survey conducted in nine districts with the sample size of 1200 individual females. A two-stage Hechman’s sample selection model was applied to capture women’s decision to participate and the level of participation in non-farm economic activities. Summary statistics of the survey data from rural Uganda shows that: i) poverty and non-farm employment has a strong correlation, implying the importance of non-farm employment as a means for poverty reduction; and ii) there is a large gender gap to access non-farm employment, but the gender gap has been significantly reduced from group of older age to younger generation. The econometric results finds that the following factors have a significant influence on women’s participation in off-farm employment: education level of both the individual and household head (positive in both stages); women’s age (negative in both stages); female-headed household (negative in first stage); household head of polygamous marriage (negative in both stages); distance from major town (negative in the first stage); household size (positive in the second stage); dependency ratio (negative in the second stage); access to and use of government extension services (positive in the first stage); access to and use of an agricultural loan (negative in the second stage); and various district dummies variables. The implications of these findings suggest that those policies aimed at enhancing the identified determinants of women off-farm employment can promote income-generating opportunities for women groups in comparable contexts. In order to capitalize on these positive linkages, policies should be designed to improve skills and knowledge by providing education opportunities and increasing access to employment training, assistance services and loans for non-farm activities and by targeting women in female-headed, large and distant households. The government should increase investments in public infrastructure and services, such as roads, telecommunications and emergency support.
This document examines the impact of population and workforce aging on economic growth in Taiwan. It finds that:
1) Taiwan's population is aging rapidly and is expected to become a hyper-aged society within 8 years, aging faster than other developed countries.
2) While some studies find workforce aging negatively impacts economic growth, others find no decline or a positive impact on productivity.
3) The study empirically analyzes Taiwan data from 1981-2017 to examine the impact of workforce aging and dependency ratios on economic growth, finding the aging workforce positively impacts growth while the old-age dependency ratio negatively impacts growth.
Economic development involves increasing a nation's wealth over time through economic growth, as measured by increases in gross domestic product. It requires using tools from various fields like finance, planning and economics. Sustainable development aims to meet current needs without compromising future generations' ability to meet their own needs. Countries vary widely in their levels of development, with more economically developed countries in the northern hemisphere owning most of the world's wealth compared to less developed countries in the south. Development encompasses both economic factors like GNP per capita and social factors like education and health outcomes.
This presentation explains all the important points about one of the major measures of development of a country that is the Human Development Index. This presentation includes the definition,history,dimension, calculation,geographical coverage, past top countries and the criticism of Human Development Index.
India Inequality Report 2018 by Oxfam IndiaOxfam India
The document provides an overview and analysis of rising inequality in India. It notes that while India is often considered a relatively equal country by international standards, evidence shows that inequality in India is high and rising based on consumption, income, and wealth. Inequality has increased sharply since the 1990s with economic reforms. The top income groups have experienced much faster growth in consumption and wealth compared to lower and vulnerable groups. Inequality exists across multiple dimensions such as region, caste, religion, gender, and access to healthcare, education and employment opportunities. Historically marginalized groups face disadvantages in wealth accumulation and access to basic services that impact health, nutrition and education outcomes. The rise in inequality is linked to India's growth model which has distributed
MEASUREMENT OF GROWTH AND DEVELOPMENT: A SPECIAL FOCUS ON HUMAN DEVELOPMENT ...Dr. Avinash S Naik
The document discusses the methodology of calculating the Human Development Index (HDI). It explains the old and new methods of calculating the HDI using 3 dimensions - health, education, and standard of living. Under the old method, health was measured by life expectancy, education by adult literacy and gross enrollment rates, and standard of living by GDP per capita. The new method uses life expectancy for health, mean and expected years of schooling for education, and GDP per capita for standard of living. The document provides examples of calculating HDI for India under both methods and compares HDI ranks and values of India and other countries. It also discusses HDI ranks of Indian states and limitations of HDI.
Needs, poverty and democracy in nigeria – an assessmentKayode Fayemi
This document analyzes trends in poverty and inequality in Nigeria over the past 20 years. It finds that poverty has significantly increased, with over 70% of Nigerians now living below the poverty line. Poverty is most prevalent in rural areas and northern regions but has also grown substantially in urban areas. Women and girls experience higher rates of poverty than men due to social and economic inequalities. While Nigeria has significant oil wealth, the Niger Delta region remains deeply impoverished due to underdevelopment and political repression over many years of military rule. Inadequate infrastructure, education, healthcare and opportunities continue to plague Nigeria and exacerbate poverty conditions.
This document discusses trends in poverty and inequality in Nigeria over the past 20 years. It notes that poverty levels have risen sharply from 28.1% of the population living below the poverty line in 1980 to over 70% in 2002. While some expected democracy to reduce poverty, four years after civilian rule began in 1999 poverty continues to increase. The document examines factors slowing democratic consolidation and options for pro-poor policies and development in Nigeria.
Population growth & economics development in pakistanzaibigrewal
1) Pakistan's population has grown rapidly from 132 million in 1998 to an estimated 187 million in 2013, posing economic challenges for the country.
2) Rapid population growth is straining Pakistan's ability to provide adequate health, education, and job opportunities, and is exacerbating issues of poverty and unemployment.
3) Pakistan can reduce population growth by improving education, raising women's social and economic status, expanding family planning programs, and increasing job opportunities to lower fertility rates.
Housing: Opportunity, Security, and Empowerment for the Pooridspak
This document discusses housing as an important dimension of poverty reduction in Pakistan. It makes several key points:
1) Housing is a fundamental human need that provides security, but rapid urbanization and population growth have resulted in a shortage of over 4 million housing units in Pakistan, forcing many to live in slums.
2) Adequate housing ensures opportunity, security, and empowerment, which are key pillars for reducing poverty. Inadequate housing creates insecurity and disempowerment among the poor.
3) The number of households is growing faster than the population in most countries due to decreasing household sizes. This increases the demand for housing, posing challenges for housing supply especially in urban areas of developing nations
The Human Development Index (HDI) was created by Pakistani economist Mehboob-Ul-Haq and Nobel laureate Amartya Sen to evaluate countries based on key development factors beyond just income. The HDI focuses on three areas: health as measured by life expectancy, education as measured by adult literacy and enrollment rates, and income as measured by GDP per capita. Countries are ranked on an HDI score from 0 to 1, where a score closer to 1 indicates a higher level of human development. The document provides step-by-step instructions for calculating a country's HDI scores based on data from the United Nations.
‘The Contribution Of MGNREGA In The Empowerment Of The Scheduled Tribes Throu...inventionjournals
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This study will focus on the economic standards of India and the factors that have lead India to have a wealth and poor population at the same time. India over the last couple of year, it has experienced an increased per capita income due to its increased work force. Also, India has been known as one of the countries with a large population languishing over poverty.
India has been experiencing an increase in its economic growth rate over the last four years. In the fiscal year 2014 - 2015 the country had a 7.4% economic increase compared to a 6.9% increase in the fiscal year 2013 - 2014. The country is projecting an economic increase in the fiscal year 2015- 2016 of 7.5%. India was listed the 19th largest merchandise in the year 2013 and with a large export of services which saw India in the 6th position worldwide. The country is not only in the top service export list but also in the import list it was ranked 7th importing merchandise of worthy of $616.7 billion in a total.
In fact, this increase in India’s economic growth has been due to an increased output and high performance of two industries that are the agriculture industry and manufacturing industries. These industries the largest India’s economic growth shareholders and their performance influence the country’s economic growth rate in every fiscal year (Maddison, 2013).
Moreover, India has been among the best known manufacturing industry in the world. This has in turn led the government to allow investors in the country to invest in the sector. The fast growing and large population has provided force labor to the upcoming industries (Maddison, 2013). A large percentage of India’s population is comprised of poor citizens who in turn provide cheap labor to the industries, hence low input which gives the companies large marginal profits.
In addition, the large Indian population has also been a target for the manufacturing industries whose final products are consumed locally in the country before they are exported to other countries. India’s large population has been in the service that also has contributed to the county’s economic growth (Maddison, 2013). The service sector offers services like the tourism, heath care; telecommunication and trade travel services between other many services. These statistics shows that India has been experiencing an increase in its economy.
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Impact of Low Social Spending on Human Development: Regional Disparity in Uttar Pradesh
1. International Journal of Humanities and Social Science Invention
ISSN (Online): 2319 – 7722, ISSN (Print): 2319 – 7714
www.ijhssi.org ||Volume 4 Issue 7 || July. 2015 || PP.34-43
www.ijhssi.org 34 | P a g e
Impact of Low Social Spending on Human Development:
Regional Disparity in Uttar Pradesh
Dr. Poonam Singh
Assistant professor, Dept. of Economics, SRS Girls PG College, Bareilly, UP
Abstract : The objective of the paper is to describe the low status of human development and increasing intra-
state disparity regarding all the development indicators across the districts and regions in the state. The low
income levels keep the expenditure on social sector at a low level which results in low status of human
development. On the other hand, the low status of human development acts as a major economic constraint on
economic development of the state. The state presents a dismal scenario with regard to both economic growth
and human development. It is characterized by low levels of per capita income, high incidence of poverty,
sluggish economic growth, high population pressure along with high rates of population growth, high birth and
fertility rates, widespread illiteracy, high infant mortality and death rates and low life expectancy. Social sector
expenditure in U.P. is lower even as compared to other backward states. This was true for the different
components of social sector as well. These figures are reflective of the low priority to social sector given by the
policy makers in the state and underscore the need of substantial improvement in levels of social sector
expenditure in U.P.
Keywords: Social Spending, Human Development, Regional Disparity, economic disparity, health
I. INTRODUCTION
With the publication of the first Human Development Report in 1990 by the UNDP, a paradigm shift in
the contemporary development discourse has taken place. The concept of human development has four
important components, namely, productivity, equity, sustainability and employment. It is concerned with the rate
of economic growth as well with equitable distribution of benefits from growth. It deals not only with the choice
of the current generation but also with the sustainability of these choices for the future generations. In sum,
human development is a holistic and an integrated concept (HDR-UP, 2006).
If the goal of development is to build societies that are socially inclusive, economically healthy and
democratically anchored, then social policy related with public expenditure has a key role to play in relation to
all these aspects. There have been many attempts to measure the quality of life of society across the countries in
world (Human Development Index of UNDP, various years), or across the states in India (HDR of different
States, various years). Inequality among states regarding their human development levels is also marked by
several studies in India. Several studies with their different quantitative methodologies concluded that
expenditures in the social sector can affect economic growth. Such social expenditures enhance productivity by
providing infrastructure, education, health and harmonizing private and social interests (. Arora,2001; Mundle,
1998; Dev and Ravi (2007); Majumder,2005; Kannan and Pillai, 2007; Sen and Karmakar,2007; Guha and
Chakraborty, 2003; etc.). The conclusion of so many studies cast doubt on the hypothesis that low HDI states
are actually growing at a faster rate than high HDI states leading to convergence in terms of HDI. They
concluded that planned allocation of resources in independent India was expected to rectify inter - regional
disparities and imbalances in development but it could not fulfil its challenges (Roy and Bhattacharjee, 2009;
Rao, Govinda et al, 1999; Chkravarty, 2009; etc.).
In the context of the ability of the States to spend on social services, which has important implications for
human development has been found lowest in the Uttar Pradesh. As widely documented, States have
experienced significant fiscal stress since 1998-99 due to a variety of factors like Pay Commission
recommendations, decline in Central transfers, increase interest payments and pensions, and low economic
growth rate account for the intensity of the ailment in all the states in general and in UP particular (Mohan
Rakesh, 2005; Kripa Shankar ,2001).
In this purview the objective of the paper is to describe the low status of human development and increasing
intra- state disparity regarding all the development indicators across the districts and regions in the state. The
low income levels keep the expenditure on social sector at a low level both for the house hold and the state,
which results in low status of human development. On the other hand, the low status of human development acts
as a major economic constraint on economic development of the state.
2. Impact of Low Social Spending on Human…
www.ijhssi.org 35 | P a g e
The paper is divided into four sections including the introduction. Section II discusses the status of human
development and related issues in the education and health sector with intra-state disparity. Section III deals
with the failure of public policy as reflected in priorities in public expenditure. The main findings and
assessment of the policy are summarized in the IV section.
Uttar Pradesh though well endowed in terms of resources the state is among the economically most
backward and poor states of the country. The state presents a dismal scenario with regard to both economic
growth and human development. It is characterized by low levels of per capita income (there is a huge gap
between per capita income of the country and the state since mid 90s and increasing continuously- chart), high
incidence of poverty, sluggish economic growth, high population pressure along with high rates of population
growth, high birth and fertility rates, widespread illiteracy, high infant mortality and death rates and low life
expectancy. In terms of most of the human development indicators U.P. ranks 13th or 14th out of the 15 major
states of the country, while in terms of poverty ratio it ranks 11th
(Table 1).
Chart -1
Table 1: Selected Development Indicators for UP and Other States
States
Infant
Mortality
Rate Life
Expectancy
Literacy Rate Sex Ratio
Per Capita
NSDP (Rs)
% Persons
below
Poverty Line
Total Female 0 to 6 yrs
2007 2008 2001 2001 2001 2003-04 1999-00
Andhra Pradesh 57 63.7 61.11 51.17 978 21372 15.8
Assam 68 58.0 64.28 56.03 932 12821 36.1
Bihar 61 61.0 47.53 33.57 921 7319 42.6
Gujarat 54 63.5 69.97 58.6 921 26672 14.1
Haryana 60 65.4 68.59 56.31 861 29504 8.7
Karnataka 50 64.6 67.04 57.45 964 21238 20.0
Kerala 14 73.6 90.92 87.86 1,058 13722 12.7
Madhya Pradesh 76 57.1 64.11 50.28 920 14784 37.4
Maharashtra 36 66.4 77.27 67.51 922 13732 25.0
Orissa 75 58.7 63.61 50.97 972 12645 47.2
Punjab 44 68.6 69.95 63.55 874 28607 6.2
Rajasthan 68 61.3 61.03 44.34 922 15738 15.3
Tamil Nadu 37 65.4 73.47 64.55 986 23358 21.1
Uttar Pradesh 73 59.3 57.36 42.98 898 11534 31.2
Rank of UP (13) (12) (14) (14) (13) (14) (11)
West Bengal 38 64.1 69.22 60.22 934 20548 27.0
India 58 62.7 65.38 54.16 933 20936 26.1
Source: Economic Survey, 2009.
There are sharp variations in the levels of economic and social development across the four regions in
the state. Economically Western region comprises 26 districts, is the most developed with higher levels of
urbanization, grater diversification of the economy, better infrastructure higher agricultural productivity,
higher per capita income levels and lower poverty levels. Eastern region and Bundel khand with 27 and 6
3. Impact of Low Social Spending on Human…
www.ijhssi.org 36 | P a g e
districts are recognized as backward regions. Economic infrastructure is also relatively less developed in both
the regions. Central region with 10 districts is relatively better in economic indicators as compared to the two
backward regions. But poverty incidence in the region is quite high. In terms of social indicators like literacy
level, inter regional differences are not so marked. A serious concern about intra-state disparity in the states in
general and in U.P. particular regarding human development level and in economic well-being is also waging
among economists (Dreze and Gazdar 1996; Singh, 1999, 2000,2004, Chakraborty, 2009).
Table 2: Indicators of Economic Development in Various Regions of U.P.
Development Indicator
Eastern Western Central Bundel khand
U.P.
Density Of population (per sq.km.), 2001 776 765 658 280 689
% Of Urban Population to total population, 2001 11.78 28.25 25.11 22.46 20.78
% Share in state’s population, 2001 40.11 36.76 18.17 4.96 100.00
Total Literacy (%), 2001 55.22 58.44 59.04 60.32 57.36
Per capita power consumption (kwh), 1998-99 169.2 206.8 172.6 122.2 181.1
% of electrified villages to total villages, 1999-00 76.78 88.81 71.71 68.37 79.08
Average size of Holding (in Ha), 1995-96 0.65 1.02 0.83 1.72 0.86
Net sown area per capita rural (ha), 1998-99 0.10 0.14 0.14 0.26 0.11
Per capita gross value of industrial output in Rs., 1991-92 796 2845 1439 748 1663
Main workers engaged in agriculture to total main
workers (1991)
77.3 66.7 72.9 78.4 72.8
Per rural person gross value of agricultural produce in
Rs.,1997-98
2435 4876 3543 3949 3594
Per capita net output from commodity producing sector
in Rs.,1997-98
6269 9882 7881 7910 8273
Source: Tenth Five Year Plan, U.P., Vol. 1, Part 1.
II. Status of Human Development in the State
As mentioned earlier, the record of U.P. in terms of human development is quite dismal. It is lagging
behind all the states except Bihar in terms of major indicators of social development. According to Human
Development Report, 2006, U.P. occupied the 15th
rank in HDI in 2001. It slipped to 16th
rank in 2005. Only
Bihar ranks lower than U.P. in HDI in 2005. The value of HDI has, however, improved from 0.5442 in 2001 to
0.5709 in 2005.
Table 3: Human Development Values and Ranks across the states in 2001 and 2005
States 2001 2005
Value Rank Value Rank
Andhra Pradesh 0.6220 9 0.6388 10
Assam 0.5831 12 0.6523 9
Bihar 0.5200 17 0.5538 17
Chhattisgarh 0.5976 11 0.6269 11
Gujarat 0.6663 6 0.7073 6
Haryana 0.6587 8 0.6875 7
Jharkhand 0.6005 10 0.6257 12
Karnataka 0.6646 7 0.6814 8
Kerala 0.8118 1 0.8243 1
Madhya Pradesh 0.5582 14 0.5902 14
Maharashtra 0.7241 2 0.7513 2
Orissa 0.5405 16 0.5863 15
Punjab 0.6943 4 0.7245 4
Rajasthan 0.5796 13 0.5957 13
Tamilnadu 0.6995 3 0.7348 3
Uttar Pradesh 0.5442 15 0.5709 16
West Bengal 0.6696 5 0.7109 5
India 0.6281 0.6639
Source: Human Development Report of Uttar Pradesh, 2008
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Intra-state disparity in terms of values as well as in ranks in the state of Uttar Pradesh is also depicts a
depressing scenario of the state‟s social and economic development (Table 3 and Chart 2). Quite a large no. of
the districts are in the medium and low human development level. Further, the districts recording the higher
increase in HDI belonged to the category of backward districts; while some of the districts recording lower
increment in HDI are developed ones, according to the Report. Thus, there is a tendency of convergence in
terms of HDI among the districts of U.P.
The first inference that can be drawn is that all the districts as well as regions have remarkable increase
in their human development index values over the time period of 1991 to 2005. However, the improvement in the
values of HDI has not been across the districts. Meerut district of western region with HDI value of with 0.5735
ranked one in 1991. Bahraich and Budaun belonging to eastern region with an HDI of 0.2671 and 0.2752
were first and second from the bottom. Among the bottom ten districts 8 districts were from the Eastern region.
In the top ten districts 6 were from the Western region, Kanpur Nagar and Lucknow from the Central region
and Mau and Ballia from the Eastern region (UPHDR,2003). Shahjahanpur and Buduan district of West U.P.
was also in this category. The positions did not change much in the year 2001. Gautam Buddha Nagar district
with a HDI value of 0.6740 occupied the top rank, while Shrawasti with a HDI value of 0.4042 was at the
bottom. Interestingly, Mau and Ballia districts that were among top ten slipped to lower position and were
replaced by Auraiya and Jhansi (UPHDR 2003). Among the bottom ten districts, except Rampur and Mahoba,
all other districts continued to be from the Eastern region.
But some reshuffling in the ranking of the districts regarding their HDI is clearly visible in the UPHDR,
2007. It is Bundel khand region, of which most of districts (specially Chitrakoot) has improved their HDI values
as well as ranking in 2005. From this region, Jhansi is in the top ten districts, while Jalaun, Hamir Pur, and
Banda occupy middle ranks and improve their ranking. Conversely, from the eastern region districts like
Varanasi, Chandauli, Allahabad, Gorakh Pur, Deoria, Mirzapur and Mau have relatively lower rank in HDI. In
this regard ten out of high value districts fall in the western region while only one i.e. state‟s capital- Lucknow,
belongs to the eastern region, although, both the regions have same no. of districts. In terms of improvement,
most of districts of western region and bundel khand are in the top ten. Most of districts of eastern and central
region either don‟t improve their position or have detoriation in their ranks (UPHDR,2008).
Table 4: Region wise Human Development Values
years Eastern Western Central Bundel khand UP
1991 0.405 0.452 0.429 0.429 0.425
2001 0.505 0.557 0.532 0.533 0.544
2005 0.531 0.584 0.560 0.576 0.571
Source: calculated from the Human Development Report of Uttar Pradesh, 2008
Chart: 2 Top Ten Districts with Highest and Lowest Improvement in HDI (2001-2005)
Source: same as in Table 4
(a) Education:
Education is considered as a key component of human development. It is an end itself as it enables people
to lead a cultured and more satisfying life. At the same time it is a means for developing human capabilities for
earning higher income. Educational levels are also found closely related with other indicators of human
development like fertility and mortality rates, etc. Education status of the people of Uttar Pradesh is far from
satisfactory. Across the regions much variation in the literacy level in male as well as in female cannot be seen.
The percentage of literacy differs widely between rural and urban areas. In Bundel khand region no. of schools
is much more than other regions so that their literacy level is also highest amongst all the regions.
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Literacy Percentage, 2011
No. of schools in UP
Table 5: Three major components of Human development index
Education Index Health Index Income index
Regions 1991 2001 2005 1991 2001 2005 1991 2001 2005
Eastern 0.372 0.527 0.562 0.537 0.592 0.642 0.288 0.396 0.388
Western 0.429 0.583 0.621 0.577 0.602 0.484 0.352 0.654 0.475
Central 0.423 0.570 0.604 0.542 0.580 0.632 0.328 0.446 0.444
Bundel khand 0.404 0.585 0.629 0.548 0.574 0.627 0.335 0.440 0.473
UP .4071 .5627 .5985 .5316 .5911 .6314 .3360 .4489 .4458
Source: same as in Table 4
Table 6: % increase in no. of schools, teachers and in enrolment
no. of schools no. of teachers growth of enrolment in
years JBS SBS SS LPS UPS SS JBS SBS SS
1970-71 13.2 23.8 19.68 16.89 9.07 3.45 -4.12 22.11 17.83
1980-81 26.52 54.26 51.63 21.83 40.08 45.47 -11.75 30.68 48.91
1990-91 -1.9 11.19 15.86 7.43 35.88 8.9 27.68 52.26 38.05
2000-01 12 30.3 41.01 9.68 -0.41 -2.11 4.96 6.95 11.79
2005-06 55.69 103.78 50.92 2.06 -0.47 11.65 109.24 219.06 27.11
Source: Shiksha ki pragati in UP, Directorate of Education,UP
At the district level there are glaring disparities in literacy level, which varies from a low of 38.8% in
Rampur to a high of 74.4 % in Kanpur Nagar. In as many as 20 districts more than half of the population is
illiterate. In as many as 56 out of the 70 districts more than half of the females are illiterate. Literacy rates are
generally lower in many eastern districts and some minority dominated districts in western UP (UPHDR, 2008).
According to NHFS II (1998-99) the most important reason for not going to school was „not interested
in studies‟. This reflects poor quality of teaching and infrastructure in the schools. The second most important
reason given was „required for household work.‟ The high cost of schooling also prevented children from
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attending school. Thus, poverty and burden of sharing domestic responsibilities in case of working parents are
preventing children from poor families from attending school. In rural areas a good number of girls are unable
to attend school due to its distant location. In terms of the number of schools per lakh of population sparsely
populated Bundelkhand is the most developed region of the state and the more populous Eastern region the
least developed. Since the early nineties the government has made especial efforts to increase school enrolments
through programmes like DPEP and Sarva Shiksha Abhiyan and by offering various facilities and incentives to
girl students and to students belonging to the weaker sections. As a result of these efforts the state has shown
remarkable achievement in term of enrolment including girls‟ enrolment during the recent years (Tenth Plan,
U.P. Government).
(b) Health
The state shows significant variation in health related indicators across various regions and various income
groups. Both the rich and poor face a high burden of health related disability. During the last three decades
considerable improvement has taken place in health indicators. Since the beginning of the plan period, birth
rate in UP has come down significantly. Consequently the expectancy of life has gone up. On the other hand
U.P. health indicators compare unfavourably not only with the national average but also some of the other
poorer states.
IMR : According to UPHDR, 2008, IMR shows significant intra-state variations in the state. During the 1990s,
Bundel khand region showed highest IMR. But it improves significantly in 2005.Infant mortality rates increase
substantially in eastern and central regions in this period. RCH data suggests that awareness about pneumonia
and diarrhea management was very poor. Again the awareness level was a bigger challenge particularly in
Central and Eastern regions.
Table 7: IMR in U.P.
Uttar Pradesh India
Urban Rural Total Urban Rural Total
1999 63 94 89 47 73 68
2005 64 75 73 42 62 57
Source: NFHS-2 and 3
Immunization: Western region records lowest proportion of children who received complete immunization.
Even the proportion of children recording partial immunization is also found to be low in western region.
Eastern and central region present a much better scenario. It needs to be mentioned that while western region
has a very high concentration of private providers, it lags behind in terms of public sector providers. As much of
the immunization is the result of public sector driven campaigns, eastern and other regions seem to have
performed much better.
Other diseases: The incidence of blindness, tuberculosis, leprosy and maternal morbidity is also high. Large
proportion of babies is underweight across the regions. NFHS III data indicate that stunting declined from 56 to
46 during 1997–2005; wasting rose from 11% to 14.5%; and percentage of underweight children declined from
52% to 47% during the same period. Even now nearly half of the children in the state are undernourished
(NFHS III 2006). The differences between the urban and rural areas in terms of availability of health facilities
and health indicators are also noticeable.
Quality of infrastructure in PHCs: The quality of infrastructure available in the PHCs and CHCs in the state is
far from adequate and well below the national average for each type of infrastructure facility (Table 8). Though
the state had over 18 thousand PHCs in 2001, most of them are poorly equipped and do not even have proper
drinking water facility. Only 40% of the PHCs in U.P. have electricity connection. Only 20 per cent of them
have a labour room and barely around 31 per cent have a laboratory for conducting tests. However, with
respect to CHCs the situation in Uttar Pradesh is somewhat better. But more funds need to be allocated to
PHCs so that infrastructure available in them can be raised.
(c) Economic Disparity: There are sharp regional differences in economic prosperity. In 2004-05, economically
the most prosperous region of the State was Western region, while Eastern region was the poorest, Central
region and Bundel khand falling in the middle category because education index and health index have
significant positive relation with income index and consequently with human development index. Bundel khand
region is going in the right direction in comparison with other regions of the state. Its annual compound growth
of per capita net regional domestic product is much higher than other regions for the period of 1993-94 to
2004-05.
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Table 8: Status of Infrastructure in PHCs in U.P. and India (2002-03)
State
No. of
Centres
surveyed
Type of Infrastructure
Water Electricity Labour Room Laboratory Telephone
Vehicle
working
Deep
freezer
Primary Health Centres
Uttar Pradesh 486 175 199 97 151 10 68 112
%With facility 36.0 40.9 20.0 31.1 2.1 14.0 23.0
All States 7654 4765 6222 3627 3474 1453 2141 4941
% with facility 62.3 81.3 47.4 45.4 19.0 28.0 64.6
Community Health Centres
Uttar Pradesh 24 18 23 23 12 14 23 NA
% with facility 75.0 95.8 50.0 58.3 58.3 41.7 NA
All States 851 606 786 229 508 521 514 NA
% with facility 71.2 92.4 26.9 59.7 61.2 60.4 NA
Source: India Infrastructure Database,2007
Per Capita Income at current prices (2005-06)
0
10000
20000
30000
Eastern Western Central Bundelkhand U.P. India
Trends in Expenditure on Social Sector in Uttar Pradesh
Per capita real expenditure on social services in U.P. and other states rose very significantly after
2000-01. But the chart demonstrates that there is a huge gap between the two lines. The social sector
expenditure in other states increased significantly. Social sector expenditure in U.P. is lower even as compared
to other backward states. Only Bihar is behind the U.P. in terms of social spending in real terms. This was true
for the different components of social sector as well. These figures are reflective of the low priority to social
sector given by the policy makers in the state and underscore the need of substantial improvement in levels of
social sector expenditure in U.P. to bring it out of the current morass of poverty and low human development.
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Table 10: Share of Revenue and Capital Expenditure in Total Expenditure on Selected Items in Uttar Pradesh (%)
Year Total Expenditure Social Services Education, Sports,
Art and Culture
Health I Health II Social Security
and Welfare
Revenue Capital RevenueCapital Revenue Capital Revenue Capital Revenue Capital Revenue Capital
1980-81 78.10 21.90 96.81 3.19 99.36 0.64 94.98 5.02 NA NA 97.44 2.56
1981-82 78.94 21.06 95.38 4.62 NA NA 92.50 7.50 NA NA 94.98 5.02
1982-83 84.08 15.92 94.42 5.58 99.42 0.58 89.46 10.54 NA NA 92.29 7.71
1983-84 83.61 16.39 94.56 5.44 99.03 0.97 91.26 8.74 NA NA 88.94 11.06
1984-85 81.38 18.62 95.50 4.50 98.89 1.11 92.74 7.26 NA NA 88.73 11.27
1985-86 83.49 16.51 94.88 5.12 98.89 1.11 90.11 9.89 74.40 25.60 97.77 2.23
1986-87 81.02 18.98 94.55 5.45 98.82 1.18 91.98 8.02 99.53 0.47 96.32 3.68
1987-88 82.71 17.29 94.13 5.87 98.23 1.77 92.09 7.91 97.67 2.33 98.61 1.39
1988-89 87.01 12.99 94.56 5.44 98.12 1.88 91.90 8.10 99.15 0.85 98.33 1.67
1989-90 88.73 11.27 97.41 2.59 99.03 0.97 96.56 3.44 99.86 0.14 99.75 0.25
1990-91 89.01 10.99 95.56 4.44 98.43 1.57 91.93 8.07 98.91 1.09 99.72 0.28
1991-92 93.58 6.42 94.85 5.15 97.80 2.20 91.34 8.66 99.21 0.79 99.07 0.93
1992-93 90.90 9.10 95.40 4.60 97.74 2.26 93.26 6.74 99.19 0.81 97.00 3.00
1993-94 93.33 6.67 96.23 3.77 98.46 1.54 94.55 5.45 99.56 0.44 99.12 0.88
1994-95 93.22 6.78 95.37 4.63 98.51 1.49 93.17 6.83 99.91 0.09 99.76 0.24
1995-96 93.96 6.04 96.43 3.57 98.70 1.30 94.89 5.11 99.82 0.18 99.29 0.71
1996-97 93.05 6.95 95.39 4.61 98.99 1.01 94.72 5.28 99.98 0.02 99.85 0.15
1997-98 93.01 6.99 95.11 4.89 98.71 1.29 94.53 5.47 99.28 0.72 100.00 0.00
1998-99 92.56 7.44 96.81 3.19 99.49 0.51 95.54 4.46 99.97 0.03 99.80 0.20
1999-00 91.90 8.10 96.88 3.12 99.63 0.37 95.27 4.73 98.40 1.60 99.95 0.05
2000-01 90.47 9.53 97.17 2.83 99.14 0.86 96.65 3.35 96.02 3.98 99.42 0.58
2001-02 89.34 10.66 98.10 1.90 99.23 0.77 97.11 2.89 100.00 0.00 99.69 0.31
2002-03 89.93 10.07 96.53 3.47 98.82 1.18 95.55 4.45 100.00 0.00 99.78 0.22
2003-04 81.62 18.38 96.62 3.38 98.34 1.66 94.70 5.30 90.76 9.24 99.34 0.66
2004-05 87.83 12.17 96.02 3.98 98.17 1.83 90.42 9.58 81.11 18.89 99.64 0.36
2005-06 83.69 16.31 93.59 6.41 96.43 3.57 85.27 14.73 80.85 19.15 99.64 0.36
Source: (Singh, 2007)
Within the social services, education expenditure includes expenditure on sports and youth affairs. Health
expenditure is defined in two ways. Health I comprises expenditure on the heads of medical, public health and
family welfare, where as Health II includes expenditure on water supply and sanitation These categories are
kept separate as expenditure on water supply and sanitation contributes to health indirectly and is not
considered as an integral part of health (Prabhu, 2001). The share of capital expenditure has declined from
nearly 22 percent of total expenditure on social sector in 1980-81 to nearly 10 percent in 2002-03, whereas
revenue expenditure has substantially increased from 78 percent to 90 percent in the same period. Thus the
fiscal crisis has more impact on the capital expenditure in public account during the 1990s (Table 10). The
same declining trend in capital expenditure is also observed in various components of social services such as
education, health I, health II and social security. The share of health I and health II was quite low to begin with
but increased to 15 percent during the recent years. Very low proportion of capital investment in essential
social sectors like education, health shows the neglect of the social sector by the policy makers.
This study found that in none of the years PER was near the norm of 25 percent of the NSDP in the state except
in 2003-04. This is largely reflective of low per capita income and low Tax-SDP ratio in the state. The share of
social sector expenditure to the total revenue expenditure SAR has also declined sharply from 1980-81 to 2005-
06. In the early eighties the ratio ranged between 53 and 57 percent. Since 1985-86, SAR has steadily declined
and has been in the range of 30 to 35 percent. Thus, during the post reform period SAR has fallen below the
norm of 40 percent for revenue expenditure in the social service suggested by the UNDP report. This is again
related to the fiscal strains the state budget is facing due to very high proportion of expenditure being spent on
salary component, pensions and interest payment.
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SPR is, however, has been more than the norms of 40 percent as suggested by UNDP in most of the years in
the state. It has increased from 54 % in 1980-81 to nearly 73% in 1990-91. During the post-reform period, SPR
has remained constant around 70 % in most of the years with few exceptional years. Human Priority
Expenditure (HER) as a proportion to NSDP looks disappointing as it has remain below the suggested norms of
5 percent in most of the years.
IV. Conclusion and Assessment of the Policy of Social Spending
Substantial progress has been made in the state during the last decade in the education especially at
the primary level. There is wide spread illiteracy especially among the women and in the rural areas. Mortality
rates are high. There is visible discrimination against the girl child in matters related to education and health.
Economic growth in the state has been very slow to bring about a significant improvement in the social sector
and the human development levels. So, the state lags behind all the states except Bihar, in the level of human
development. Lack of economic development has affected improvement in social indicators, the low level of
human development acts as a major constraint on rapid economic development in the state.
Intra-state disparity in terms of values as well as in ranks regarding human development index has deep
penetration in the state development. It depicts a depressing scenario of the state‟s social and economic
development. Quite a large no. of the districts are in the medium and low human development level. There is a
tendency of convergence in terms of HDI among the districts of U.P. Bundel khand region shows significant
development in recent years. Western region has performed well since 2001 to 2005.but the pace of
development on social ground is low. On the other hand eastern as well as central region of the states have very
slow growth in the terms of education, health and economic development. A large number of districts of these
two regions are in the lowest level of human development index. This disparity in the development across the
regions leads Uttar Pradesh to lag behind across to other states of the country.
The low achievements of U.P and intra-state disparity in social development can be blame to the failure of
public policy, which accorded low priority to social sectors. The focus of the capital as well as revenue
expenditure for infrastructure and social development of the present state government is only two or three
districts of western U.P. Public investment in education and health sectors remained low throughout the
planning period. As Dreze and Gazdar observe “whether we look at health care provisions, or at educational
facilities, or at the public distribution system, or indeed at almost any essential public services for which
relevant data are available, Uttar Pradesh stands out as a case of resilient government inertia as far as public
provisioning is concerned” (Dreze and Gazdar, 1996).
There has been a visible deterioration in the functioning of public institutions in the state. The state of
primary schools in U.P. has been well illustrated by Dreze and Gazdar (1996). Not only public schools and
hospitals are understaffed and ill-equipped, the teachers and hospital staff are often found missing from their
duty particularly in the rural areas (UPHDR 2003). Primary school teachers are often put on other official
duties like preparation of ration cards, voters list, holding of election, etc., which leaves little time to them to
devote to their primary duty of teaching. Public health services are also marked by inequality in access to
different social groups, the richer sections getting more than proportionate access and skewed in favour of the
urban areas (UPHDR 2003). Political leadership as well as the academia in the state has also not raised the
issue of social progress in a forceful manner to put public pressure on the government. Socially U.P. presents a
picture of deep crevice on caste and communal lines. Political mobilization has also been along caste and
communal lines rather than on economic and social issues leading to emergence of new political regional
parties. The deep social and economic divisions based on caste, class and gender inequalities have tended to
retard social progress in U.P.
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