A statistical analysis of the construction of the United Nations E-Government Development Index

2012 ◽  
Vol 29 (1) ◽  
pp. 68-75 ◽  
Author(s):  
Andrew Whitmore
Keyword(s):  
Statistical Analysis ◽  
United Nations ◽  
Development Index ◽  
The United Nations ◽  
Government Development

Elections Within the United Nations: An Experimental Study Utilizing Statistical Analysis

1963 ◽  
Vol 17 (4) ◽  
pp. 901-925 ◽  
Author(s):  
Marshall R. Singer ◽  
Barton Sensenig
Keyword(s):  
Experimental Study ◽  
Statistical Analysis ◽  
United Nations ◽  
The United Nations

If, to misquote Harold Lasswell, one considers the study of politics to be the study of who gets what, when, and why, then this paper is a study of the politics of elections in the United Nations. Who gets what and when are easily discovered, since the results of elections and dates of elections are available in any United Nations Yearbook. The “why” is more difficult to determine. This paper is an attempt to analyze—by the use of empirical, numerical indices exclusively—why nations are elected to UN offices.

Understanding E-Government Development

2011 ◽  
pp. 137-154
Author(s):  
Keng Siau ◽  
Yuan Long
Keyword(s):  
United Nations ◽  
Information And Communication Technologies ◽  
Low Income ◽  
Secondary Data ◽  
Global Scale ◽  
Categorical Variables ◽  
Information And Communication ◽  
The United Nations ◽  
Post Hoc ◽  
Government Development

Information and communication technologies (ICT) have been used to enhance services and improve the efficiency of government operations. To further improve the e-government operations, understanding e-government development and studying factors that affect e-government development are important research topics. The purpose of this research is to investigate factors influencing e-government development through a social development lens. Based on growth and regional development theories, this chapter hypothesizes that income level, development status, and region are three factors that differentiate e-government development in various countries. Group comparison tests are conducted using secondary data from the United Nations and the United Nations Development Programme. The results support the hypotheses that significant differences in e-government development exist between countries with respect to the three categorical variables mentioned. In addition, the paper applies planned post hoc tests to further investigate the differences in e-government development between different groups of countries (e.g., countries with low income vs. countries with high income). The results of this research are valuable to e-government scholars and practitioners. As the research involves data from countries all over the world, it contributes to understanding e-government development factors on a global scale.

Time indicator of the Human Development Index

2017 ◽  
Vol 28 (1) ◽  
pp. 273-296
Author(s):  
R Ibar-Alonso ◽  
C Cosculluela-Martínez ◽  
GJD Hewings
Keyword(s):  
Life Expectancy ◽  
Gross Domestic Product ◽  
United Nations ◽  
Human Development ◽  
Human Development Index ◽  
Domestic Product ◽  
Discriminant Functions ◽  
Development Index ◽  
Fisher Discriminant ◽  
The United Nations

The Human Development Index, computed by the United Nations, has been challenged since it does not measure the real development of a country. It needs to be combined with other indexes and ratios (poverty, Gini index). Using the same data as the United Nations, an additional dimension (time) is added to create a Time Human Development Index (THDI) where the weights differ for each cluster of countries. Fisher discriminant functions classify countries in each period of time, allowing different weights of the variables for the same country each year. Results suggest that when the Literacy and gross enrolment rates decrease in the four countries occupying the lower positions in the THDI, the THDI falls. In those countries where the THDI increases, gross domestic product and life expectancy rates do not seem to be positively correlated to the THDI, while the gross enrolment rate also increases. Thus, gross enrolment and literacy rates are variables related to the evolution of THDI; while, surprisingly, gross domestic product and life expectancy has few influence in its evolution.

scholarly journals An Alternative Human Development Index Considering Unemployment

2011 ◽  
Vol 6 (1) ◽  
pp. 45-60 ◽  
Author(s):  
Mehmet Taner ◽  
Bülent Sezen ◽  
Hakan Mıhcı
Keyword(s):  
United Nations ◽  
Human Development ◽  
Human Development Index ◽  
Composite Index ◽  
Development Program ◽  
Oecd Countries ◽  
United Nations Development Program ◽  
Development Index ◽  
The United Nations ◽  
Nations Development

An Alternative Human Development Index Considering UnemploymentThe Human Development Index (HDI) has played an influential role in the debate on human development (HD) for many years. However, no index is perfect and neither is the HDI of the United Nations Development Program (UNDP). This paper aims to construct a new composite index for the development performance of a sample of 30 Organization for Economic Co-operation and Development (OECD) countries by adding a fourth indicator, namely the unemployment index, to the calculation of HDI. The addition of the unemployment factor to the HDI as a new indicator has the potential to make the index more comprehensive and present a suitable approach for assessing the development performance of countries.

scholarly journals O que os indicadores socioeconômicos IDHM e IPC nos revelam em distintas realidades urbanas: São Paulo (SP) e Fortaleza (CE)

Terr Plural ◽  
2020 ◽  
Vol 14 ◽  
pp. 1-13
Author(s):  
Nilton Manoel Lacerda Adão ◽  
Edson Belo Clemente Souza
Keyword(s):  
United Nations ◽  
Human Development ◽  
Human Development Index ◽  
Family Income ◽  
Sao Paulo ◽  
São Paulo ◽  
Development Index ◽  
The United Nations ◽  
The City ◽  
Prosperity Index

This paper aims to analyze the possibilities and limitations of using synthetic indicators using two globally applied systems as a reference, the Municipal Human Development Index (MHDI) and the City Prosperity Index-CPI. Therefore, aims to analyze two different urban realities: São Paulo (SP) and Fortaleza (CE), based on two indexes: The Municipal Human Development Index (MHDI) of the United Nations Program (PNUD) and the City Prosperity Index (CPI) started in 2012 by the United Nations Program for Human Settlements (ONU-Habitat). The MHDI is based on indicators in three dimensions: longevity, education, and family income, while the CPI measures the characteristics of the municipalities in terms of productivity, infrastructure, inclusion and social equity, quality of life, environmental sustainability, and governance and legislation. Comparative analysis of the results of indicators that reveal the limitations and potentials considered for the construction of improved systems indicators. It is noticed, from the analyzed properties, factors that go beyond the character of the indicator must be considered. Efficiency in the collection, acceptance of the target audience, and qualitative analysis must be considered in use for the adequate measurement of the actions developed in the municipal public management and for the understanding of the appropriate and social changes in the cities.

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