scholarly journals Regional Disparities in Social Development: Evidence from States and Union Territories of India

2019 ◽  
Vol 26 (1) ◽  
pp. 1-27 ◽  
Author(s):  
Naresh Kumar ◽  
Ritu Rani
Keyword(s):  
Social Development ◽  
Human Development ◽  
Human Development Index ◽  
Social Indicators ◽  
Regional Disparities ◽  
District Level ◽  
Social Progress ◽  
Development Index

The present study examines the regional disparities in social development in India by using social development index (SDI). The study used census-based data of 2011 including 28 states and seven union territories (UTs) of India. The study ends by ranking of states and UTs on the basis of development index consisting of 12 social indicators. This article also compares selected states on the basis of human development index (1981, 1991 and 2001) and SDI (2011) values. In addition, the study finds district-level SDI and ranks the districts of selected states, that is, Kerala, Haryana and Bihar. The findings of the study confirmed the northern–southern social development divide in India. The empirical findings show that Kerala is the best state among all states in India in terms of social progress. Results of the study confirmed huge disparities at district and states/UTs level in India.

New Indicators and Measurement Methods for Welfare in the Global Economy Era

2022 ◽  
pp. 8-32
Author(s):  
Mikail Kar
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Global Economy ◽  
Multidimensional Poverty ◽  
Measurement Methods ◽  
Social Progress ◽  
Development Index ◽  
Multidimensional Poverty Index ◽  
Better Life Index ◽  
Country Rankings

This study discusses the inadequacy of GDP alone as a measure of welfare in the global economic age and examines alternative welfare indicators and measurement methods. This study, which discusses the human development index (HDI), the inequality adjusted human development index (I-HDI), the gender inequality index (GII), the multidimensional poverty index (MPI), the social progress index (SPI), the happy planet index (HPI), the better life index (BLI), the Legatum prosperity index(LPI), the human capital index (HCI), and the ecological footprint (EF) methods, shares the country rankings of these methods and reveals the differences in the results depending on the method. It also draws attention to the differences between the economic size and welfare level by sharing the rankings of the world's 10 largest economies in alternative methods. In addition, the study examines the obstacles to the inability to establish a complete, precise, and generally accepted method of measuring welfare.

scholarly journals Trends in Mediterranean inequalities 1950-2015

2019 ◽  
Vol 66 (4) ◽  
pp. 385-410 ◽  
Author(s):  
Vittorio Daniele ◽  
Paolo Malanima
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Social Indicators ◽  
First Century ◽  
Gdp Per Capita ◽  
Development Index ◽  
Mediterranean Countries ◽  
Per Capita ◽  
The Mediterranean ◽  
The 1950S

This article is aimed at analysing the trends of economic, social and institutional inequality among the Mediterranean countries in the period 1950- 2015. After the examination of the inequalities in GDP per capita among and within nations, we present a Human Development Index (HDI) that includes a measure of democratic achievements. Main result is that inequalities in income, after the rise from the 1950s onwards, declined from the start of the twenty-first century. Inequalities in HDI, instead, constantly diminished in the period under examination, while a process of democratization occurred. On the whole, despite the convergence among Mediterranean countries, economic inequalities are much deeper than those in social indicators.

scholarly journals IDH, indicadores sintéticos e suas aplicações em políticas públicas: uma análise crítica

2005 ◽  
Vol 7 (1) ◽  
pp. 73 ◽  
Author(s):  
José Ribeiro Soares Guimarães ◽  
Paulo De Martino Jannuzzi
Keyword(s):  
Public Policy ◽  
Human Development ◽  
Human Development Index ◽  
Social Indicators ◽  
Political Agenda ◽  
Development Index ◽  
Synthetic Indicators ◽  
Research Fields ◽  
The Social ◽  
Methodological Problems

Uma das áreas de pesquisa interdisciplinar nas Ciências Sociais Aplicadas que vem merecendo atenção crescente nas universidades, centros de pesquisa e agências estatísticas é o campo de estudos em Indicadores Sociais e Políticas Públicas, que se revela pela proposição de medidas-resumo – indicadores sintéticos – da realidade social vivenciada pela população brasileira. Neste trabalho, faz-se uma análise crítica dessas medidas, começando pelo Índice de Desenvolvimento Humano Municipal, estendendo-se por diversas outras propostas de indicadores propostos ao longo dos últimos dez anos. Reconhece-se a contribuição desses no que se refere a promover a discussão sobre a pobreza, a exclusão social, para a agenda política nacional, mas apontam-se os problemas de natureza conceitual e metodológica das propostas, assim como, o que é pior, o uso mal informado de indicadores sintéticos como critérios de elegibilidade de municípios para políticas sociais.Palavras-chave: indicadores sociais; indicadores sintéticos; Índice de Desenvolvimento Humano; políticas públicas; planejamento. Abstract: Social Indicators and Public Policy is one of the multidisciplinary research fields on Social Sciences that has been deserving growing interests in universities, research centers and statistical agencies, as it can be seen by the proposals of synthetic indicators develop to resume the social context. This paper presents a critical analysis of these social measures, beginning with the Human Development Index calculated for cities and towns in Brazil and covering other indicators proposed on the last 10 years. Those measures have been important to bring social themes like poverty and exclusion to the national political agenda. But as it is discussed here, those measures have conceptual and methodological problems, that should be known by the ones that use them to social policy making, specially at local scale social programs.Keywords: social indicators; synthetic indicators; human development index; public policy; planning.

scholarly journals Modeling of human development index in the world

2020 ◽  
pp. 33-43
Author(s):  
A. Stavytskyy ◽  
V. Sachko
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Financial Stability ◽  
The State ◽  
Social Progress ◽  
The European Union ◽  
Development Index ◽  
Econometric Methods ◽  
The World ◽  
The Impact

The article considers the impact of human development on changes and transformations in economics and on the general development of the state for the countries of the European Union and Ukraine in the period from 1990 to 2018, as well as ways of its modeling using statistical and econometric methods. The analysis of the factors influencing the development of human capital made it possible to draw a conclusion about the direct dependence of changes in the economic and social spheres and the level of quality of life of the population. Innovative universities, namely University 4.0, also in turn play a significant role in shaping the new modern knowledge economy and the development of the state as a whole, influencing society through cognitive technologies. To determine the results, time series models and multiple and panel regression models were developed based on the data of the Human Development Index and other socio-economic indicators that determine the financial stability of the state and the level of its security and welfare. The obtained models were tested for adequacy, significance of coefficients, stability and possibility of their use in practice in order to determine the most optimal of them. After conducting the necessary tests and calculating the error of RMSPE, the best of all constructed and analyzed models was the Holt-Winters model. It is universal and can be used to further forecast the economic, social and demographic indicators of other regions of the world with possible adjustments of the main parameters and coefficients to obtain the most accurate results and use this model in practice. The study concluded with an analysis of the main areas of reform and recovery of the Ukrainian economy and the spheres of education and health care to achieve social progress in the country and increase its level of development.

scholarly journals Pakistan’s Ranking in Social Development: Have We Always Been Backward?

1999 ◽  
Vol 38 (4II) ◽  
pp. 739-754 ◽  
Author(s):  
Aisha Ghaus-Pasha ◽  
Naeem Ahmed
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Social Development ◽  
Human Development ◽  
Significant Contribution ◽  
Social Indicators ◽  
Living Conditions ◽  
Social Progress ◽  
Public And Private ◽  
Per Capita

Consensus is emerging between development thinkers and practitioners that social progress is a necessary pre-condition for sustained economic growth. Social development leads to higher levels of literacy, better health standards and overall improvement in the society’s living conditions. In fact, empirical evidence suggests that there is a two-way relationship between economic growth and social development [Ghaus-Pasha et al. (1998)]. Economic growth leads to higher revenues for government and higher per capita income, encouraging both public and private spendings on human development. Improvements in social indicators feedback as higher economic growth through enhanced productivity for labour and capital. In other words, well-developed human capital makes a significant contribution to economic growth which, in turn, offers improved welfare and better living conditions.

scholarly journals Is there association between human development index and tuberculosis mortality risk? Evidence from a spatial analysis study in the south of Brazil

2018 ◽  
Vol 146 (14) ◽  
pp. 1763-1770 ◽  
Author(s):  
D. T. Santos ◽  
C. Nunes ◽  
L. S. Alves ◽  
A. A. R. Queiroz ◽  
M. J. Miranda ◽  
...  
Keyword(s):  
High Risk ◽  
Social Development ◽  
Human Development ◽  
Human Development Index ◽  
Spatial Relations ◽  
Three Dimensions ◽  
Scan Statistics ◽  
Development Index ◽  
Relative Risks ◽  
Global And Local

AbstractThe goal of this study was to analyse the spatial pattern of tuberculosis (TB) mortality using different approaches, namely: mortality rates (MR), spatial relative risks (RR) and Bayesian rates (Global and Local) and their association with human development index (HDI), Global and its three dimensions: education, longevity and income. An ecological study was developed in Curitiba, Brazil based on data from Mortality Information System (2008–2014). Spatial scan statistics were used to compute RR and identify high-risk clusters. Bivariate Local Indicator of Spatial Associations was used to assess associations. MR ranged between 0 and 25.24/100.000 with a mean (standard deviation) of 1.07 (2.66). Corresponding values for spatial RR were 0–27.46, 1.2 (2.99) and for Bayesian rates (Global and Local) were 0.49–1.66, 0.90 (0.19) and 0–6.59, 0.98 (0.80). High-risk clusters were identified for all variables, except for HDI-income and Global Bayesian rate. Significant negative spatial relations were found between MR and income; between RR and HDI global, longevity and income; and Bayesian rates with all variables. Some areas presented different patterns: low social development/low risk and high risk/high development. These results demonstrate that social development variables should be considered, in mortality due TB.

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