Vital Problems of Human Development, Indicators and Eco-Centric Solutions

2008 ◽  
pp. 185-197
Author(s):  
Alexander Gorobets
Keyword(s):  
Human Development ◽  
Development Indicators

scholarly journals A Poset-Generalizability Method for Human Development Indicators

2021 ◽  
Author(s):  
Flavio Comim
Keyword(s):  
Human Development ◽  
Capability Approach ◽  
Generalizability Theory ◽  
Well Being ◽  
New Method ◽  
Subjective Well Being ◽  
Development Indicators ◽  
Development Policies ◽  
Development Analysis ◽  
The Capability Approach

AbstractThe paper introduces a poset-generalizability perspective for analysing human development indicators. It suggests a new method for identifying admissibility of different informational spaces and criteria in human development analysis. From its inception, the Capability Approach has argued for informational pluralism in normative evaluations. But in practice, it has turned its back to other (non-capability) informational spaces for being imperfect, biased or incomplete and providing a mere evidential role in normative evaluations. This paper offers the construction of a proper method to overcome this shortcoming. It combines tools from poset analysis and generalizability theory to put forward a systematic categorization of cases with different informational spaces. It provides illustrations by using key informational spaces, namely, resources, rights, subjective well-being and capabilities. The offered method is simpler and more concrete than mere human development guidelines and at the same time it avoids results based on automatic calculations. The paper concludes with implications for human development policies and an agenda for further work.

Egyptian Local Government Website Portals

2012 ◽  
pp. 577-593
Author(s):  
Hisham M. Abdelsalam ◽  
Christopher G. Reddick ◽  
Hatem A. ElKadi
Keyword(s):  
Local Government ◽  
Human Development ◽  
Social Services ◽  
Local Governments ◽  
Information Dissemination ◽  
Limited Impact ◽  
Development Indicators ◽  
Government Websites ◽  
Developed Nations ◽  
Government Website

This chapter examines the development of e-Government in selected Egyptian local governments. A content analysis of 25 local government website portals was conducted examining categories of e-Management, e-Services, e-Democracy, and e-Decision making. The study first sets out to examine the overall level of maturity of local government websites in these four areas in Egypt. Second, this study examines whether Egyptian human development indicators explain the maturity of local government websites. Firstly, the overall results indicated that e-Government maturity in Egypt was primarily in the information dissemination stage. Secondly, local governments had a greater population in social services industries which indicated a greater level of e-Government maturity. Out of 17 variables tested, there were very few human development indicators related to e-Government website maturity. The results of this chapter showed the maturity of e-Government in local governments in a developing country matched against developed nations. Also, the results showed the limited impact of human development indicators to predict e-Government website maturity.

scholarly journals Nature's role in sustaining economic development

2010 ◽  
Vol 365 (1537) ◽  
pp. 5-11 ◽  
Author(s):  
Partha Dasgupta
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Natural Capital ◽  
Well Being ◽  
Sub Saharan Africa ◽  
Development Index ◽  
Development Indicators ◽  
Comprehensive Wealth ◽  
Per Capita ◽  
Sub Saharan

In this paper, I formalize the idea of sustainable development in terms of intergenerational well-being. I then sketch an argument that has recently been put forward formally to demonstrate that intergenerational well-being increases over time if and only if a comprehensive measure of wealth per capita increases. The measure of wealth includes not only manufactured capital, knowledge and human capital (education and health), but also natural capital (e.g. ecosystems). I show that a country's comprehensive wealth per capita can decline even while gross domestic product (GDP) per capita increases and the UN Human Development Index records an improvement. I then use some rough and ready data from the world's poorest countries and regions to show that during the period 1970–2000 wealth per capita declined in South Asia and sub-Saharan Africa, even though the Human Development Index (HDI) showed an improvement everywhere and GDP per capita increased in all places (except in sub-Saharan Africa, where there was a slight decline). I conclude that, as none of the development indicators currently in use is able to reveal whether development has been, or is expected to be, sustainable, national statistical offices and international organizations should now routinely estimate the (comprehensive) wealth of nations.

scholarly journals Changes in Human Development in Developing Countries: An Empirical Assessment

2011 ◽  
Vol 10 (2) ◽  
pp. 288-299 ◽  
Author(s):  
Minh Quang Dao
Keyword(s):  
Human Development ◽  
Developing Economies ◽  
Average Distance ◽  
Reference Population ◽  
Capital City ◽  
Coefficient Estimates ◽  
Development Indicators ◽  
Explanatory Variables ◽  
Severe Degree ◽  
Nations Development

AbstractBased on data from the World Bank and the United Nations Development Programme, a sample of 29 developing economies was used. The finding is that cross-country changes in human development may be explained by per capita GDP growth, the length of land boundaries, the percentage of children under age 5 whose weight is more than two standard deviations below the median for the international reference population ages 0-59 months, the under-5 mortality rate, the ratio of girls to boys in primary and secondary education, the prevalence of HIV, the national average distance to the capital city, and the income share held by the lowest 10% of population. As observed, the coefficient estimates of three independent variables do not have the anticipated sign due to the severe degree of multicollinearity among statistically significant explanatory variables. Data for all variables are from the 2010 World Development Indicators and the 2009 Human Development Report. The least-squares estimation technique in a multivariate linear regression was applied. As noted, the severe degree of multicollinearity among explanatory variables may have caused their coefficient estimates to have the wrong sign.

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