Does Human Development Index Provide Rational Development Rankings? Evidence from Efficiency Rankings in Super Efficiency Model

The human development index (HDI) rankings have provided a referenced measure for people to choose a country in which to travel or live. This paper employs a superefficiency model to evaluate the rationality of the HDI rankings of 19 evaluated OECD countries in 2009. Compared to the HDI rankings, the efficiency rankings measured by the super-efficiency model have the following two advantages: (1) they consider the inputs that are used to generate the indicators for constructing the HDI, and decide the weights of inputs and outputs endogenously; (2) the input slacks measured by the super-efficiency model can evaluate whether the inputs are over-used and provide the improvement path of each country’s input variables. Empirical result shows that approximately 75 % of the evaluated countries had rather different results in the efficiency rankings and the HDI rankings. Additionally, the input slack shows that roughly 70 % of sample countries over-used their capital per labor relative to their existing outputs (or the HDI).     

The Unbalance Penalisation Method for Metrics of Social Progress

This study contributes to the debate on the development of aggregate metrics of societal progress. Summarising societal progress into a single number poses various methodological challenges, including the choice of indicators, normalisation, weighting and aggregation. This paper addresses the issue of aggregation in the case of metrics of well-being and uses as a case study the European Union regional Social Progress Index—EU-SPI—published by the European Commission. The index is an aggregate measure of 55 social and environmental indicators observed for all the European regions grouped into 12 components. In metrics of this type, while complete substitutability among components is rarely acceptable, controlling their level of substitutability is highly desirable. To this aim, we adopt a modified version of the unbalance penalisation approach originally proposed by Casadio Tarabusi and Guarini (Soc Indic Res 112:9–45, 2013). A penalisation is applied to the regions whose performance across the index components is unbalanced, that is when they perform well on some components but worse on others. The penalisation applied by this approach depends on two parameters that, in its original formulation, are generally arbitrarily chosen. We design a data-driven approach allowing for an informed choice of the penalisation parameters. The comparison between the EU-SPI original and penalised scores shows that the penalisation effect is particularly evident for regions with a strongly unbalanced profile across the components. The proposed method allows for adjusting the level of substitutability between components when constructing an aggregate metric, an important functionality especially when measuring societal progress for policy-making.

     

A Reversal in the Relationship of Human Development With Fertility?

Myrskylä et al. (2009) found that the relationship between the human development index (HDI) and the total fertility rate (TFR) reverses from negative (i.e., increases in HDI are associated with decreases in TFR) to positive (i.e., increases in HDI are associated with increases in TFR) at an HDI level of 0.86. In this article, we show that the reversal in the HDI-TFR relationship is robust to neither the UNDP’s recent revision in the HDI calculation method nor thedecomposition of the HDI into its education, standard-of-living, and health subindices.     

Measurement of social development: an international comparison

PQLI and HDI are the two most popular measures of development, besides per capita income. Over the years, PQLI appears to be not much in use for regional comparisons, especially after the introduction of HDI. While PQLI considers only the physical variables—adult literacy, life expectancy at birth and infant survival rate, HDI has life expectancy at birth, educational attainment and real GDP per capita (PPP$). PQLI and HDI are similar, the main difference between the two being the inclusion of income in HDI and exclusion of the same from PQLI. In a sense, HDI represents both physical and financial attributes of development and PQLI has only the physical aspects of life. The present author took the lines of PQLI to express development in terms of physical variables and considering development as a multidimensional phenomenon, Ray (1989) [Ray, A. K. (1989). On the measurement of certain aspects of social development, Social Indicators Research (Vol. 21, pp. 35–92). The Netherlands: Kluwer Academic Publishers.] included as many as 13 physical variables to represent social development across 40 countries; no financial variable was included in the construction of composite index, termed as the Social Development Index, SDI. Incidentally, like PQLI, SDI was introduced before HDI. Unlike PQLI and HDI, SDI considers (i) a large number of indicators representing various concern areas and (ii) a set of objective methods for combining the development indicators as a composite index. Ray (1989) has been restated and updated in this article with newer cross-country information. In the present study, SDI has been constructed for over 102 countries, including 21 OECD countries, using 10 development indicators, instead of 13 indicators in the past. Apart from presenting objective methods for combining indicators into SDI, the present study asserts that SDI works better than HDI as a measure of development for an international comparison. The views expressed in the article are those of the author and not of the institution he serves.     

A Conceptual Framework for Visualizing Composite Indicators

Social Indicators Research - Human development index (HDI) integrating greenness and fairness indicators is an important reference for global governance. This paper used the geometric method to...     

The Italian Regional Well-Being in a Multi-expert Non-additive Perspective

This paper designs a multidimensional index of well-being for 20 Italian regions, based on a set of 41 indicators organized in an original hierarchical structure, a decision-tree whose four main pillars are Economy, Society, Environment and Health. Our novel approach combines the objective dimension of the evaluation (a comprehensive set of statistical indicators) within a flexible non-additive aggregation model (the Choquet integral) characterized with the preferences of informed Italian stakeholders. Adopting the Choquet integral allows us to overcome the well-known limitations embedded in the linear models, by assigning a weight (capacity) to any coalitions of dimensions, and by allowing a different degree of substitutability within each decision node in the tree. The weights and the parameters for the aggregation are elicited through a computer-based nominal group technique, a method which reduces the occurrences of drastically dissenting valuations and the potential expert-selection bias. Our results show that experts’ perception of synergies and redundancies is quite heterogeneous between levels and nodes in the tree. Moreover, well-being measures are much influenced by the degree of substitutability embedded in the experts’ preferences. Overall, the Italian picture looks more heterogeneous when analysed through the Choquet integral, with respect to a linear model.     

A Human Development Index for the Dalit Child in India

There have been many attempts to measure the quality of life of society in general (such as the Human Development Index of UNDP), or of children in particular (Jordan 1993; Corrie 1994). This article constructs a Human Development Index (HDI) for the Dalit Child in India following the methodology used by UNDP (1990) to construct a human development index for the countries of the world. Dalits (also known as Untouchables, Harijans, Scheduled Castes) have and continue to be a marginalised group in India. Section 1 presents the indicators used to construct the HDI for the Dalit child in India. Section 2 presents the rationale for the choice of the indicators chosen. Section 3 presents the methodology used to construct the HDI for the Dalit child in India. Finally, Section 4 presents the relative ranking of 15 states in India based on the level of human development as reflected in the HDI constructed for the Dalit child. It also compares the HDI rankings from perspective of the Dalit Child in India with a recent HDI constructed for 17 states in India using similar indicators as UNDP (1990). The policy usefulness of this human development index for the Dalit child in India is that it could serve as an indicator of the social progress achieved in India as the country attempts to fulfill its constitutional vision of equality for all citizens.     

Human Development Index (HDI) Rank-Order Variability

In accordance with the increasing demand for information, indices are created and national and global rankings made to represent and through which to understand and build policy related to complex situations, processes and trajectories. Different indices for a single concept are also created that have advantages or disadvantages over one another or to overcome certain calculation problems. As one such, the Human Development Index (HDI) presently lists countries according to four different criteria, and remains at the heart of democratic and humanitarian recovery efforts. This type of indicator is taken as a function of past performances, with high performances being the extreme values at positively skewed distributions. Thus, the variability of each unit’s repeated measures is regarded as the result of efforts made between the measurement time points (in the HDI case, of a country to promote development). However, it is assumed that the variability of the units is not homogenous. Here, it is shown that in the HDI case, high performance units show relatively low variability, whereas the middle and middle-low performance units show a high variability. Cluster analysis and Friedman test have been used to determine the characteristics of ordered country rankings. The variability of rank-order should also be taken into account besides the location on the list by clustering the countries according to HDI.     

Inequality in Human Development: An Empirical Assessment of 32 Countries

One of the most frequent critiques of the HDI is that is does not take into account inequality within countries in its three dimensions. In this paper, we apply a simply approach to compute the three components and the overall HDI for quintiles of the income distribution. This allows a comparison of the level in human development of the poor with the level of the non-poor within countries, but also across countries. This is an application of the method presented in Grimm et al. (World Development 36(12):2527–2546, 2008) to a sample of 21 low and middle income countries and 11 industrialized countries. In particular the inclusion of the industrialized countries, which were not included in the previous work, implies to deal with a number of additional challenges, which we outline in this paper. Our results show that inequality in human development within countries is high, both in developed and industrialized countries. In fact, the HDI of the lowest quintiles in industrialized countries is often below the HDI of the richest quintile in many middle income countries. We also find, however, a strong overall negative correlation between the level of human development and inequality in human development.     

Avoiding Ranking Contradictions in Human Development Index Using Goal Programming

This paper builds on the extensive literature of the rank reversal issue in multi-criteria decision making (MCDM) techniques. It is a continuation of the study of Sayed et al. (Soc Indic Res 123(1):1–27, 2015) that exhibited this problem in the human development index (HDI) framework. The proposed methodology, the Goal Programming Benefit-of-the-Doubt (GP-BOD), aims to overcome this problem and obtain consistent and stable rankings. For investigating the credibility of the proposed method in solving this issue, it has been applied to the HDI dataset in 2012. The resulted HDI rankings are compared with those evaluated from eleven overlapping sub-groups that are internationally categorized based on geographic regions and income levels. The results show a solution to the ranking contradictions problem. Among other merits, the results prove two additional features of the proposed GP-BOD model. First, the resulted countries’ rankings are distinguishable and absolutely tie-free. This enhances the discriminating power of the proposed rank preservation model. Second, the GP-BOD weights are evaluated on a common base to compare all countries on the same scale. Moreover, a lower bound is endogenously imposed on these weights to avoid the problem of zero weights. Finally, the validity of the proposed GP-BOD technique has been thoroughly examined using sensitivity tests. The results show stability in the rankings when different methods of normalization and weighting are applied.     

An Assessment of the Measurement Properties of the Human Development Index

One of the more important determinants of the competitiveness of a nation is the quality of its human capital. The Human Development Index (HDI) is the most widely used yardstick of human development. It measures human development for all the countries of the world, through the use of three factors – longevity, knowledge and GDP measured in purchasing power. This paper evaluates HDI's contribution towards measuring the quality of the human capital component of a nation's competitiveness. Two primary issues under study are the HDI's information properties vis-a-vis its components and its measurement properties as an index. The primary conclusion of the study is that the HDI carries useful information about a country's current development, but not about the future level of development. Hence, further refinements in its construction as well as additional theoretical support as a quantitative measure are needed.     

基于不同尺度下关中—天水经济区人类发展水平评价

人类发展指数是对一个国家或地区人类发展水平所取得成就的整体评估,用于反映一个国家或地区社会进步的程度。本文以关中—天水经济区为研究对象分别从市域和县域的角度分析了关中—天水经济区人类发展的整体水平以及空间格局。研究结果表明：①市域尺度下,关中—天水经济区人类发展指数的平均值为0.7,整体处于全国中下水平。②县域尺度下,关中—天水经济区人类发展水平呈现不均衡态势且区域差异明显。③影响关中-天水经济区人类发展水平的主要是经济因素。     

Are Major Events Capable of Affecting Country Rankings? Validating Composite Indexes of Human Progress and Environmental Performance

A desired characteristic of composite indicators is sensitivity to major adverse events. This paper explores how major civil wars and the 2004 tsunami have influenced Human Development Index (HDI) and Environmental Performance Index (EPI) index values of the affected countries, respectively. The analysis shows that HDI and EPI scores have barely changed, being almost exclusively due to variations in GNI/capita for HDI and air quality for EPI. This casts doubt on the composite indexes’ usefulness and their ability to reflect major environmental and societal changes in the affected countries, or shows which dimensions are truly resilient to these events and can constitute a sustainable base for postwar/post-disaster recovery. Human progress and ecological indicators may need an overhaul, in order to account for the changes that actually happen at a point in time, in order to capture substantial changes in the socio-economic and ecological fabric of a country.     

Dynamics of HDI Index: Temporal Dependence Based on D-vine Copulas Model for Three-Way Data

The HDI (Human Development Index) is a widely used index based on the average of measures of health, education, and income. It assesses the progress of countries worldwide. The publicly available data set associated with the HDI can be seen as a table with 3 dimensions (three-way table): countries, indexes regarding progress, and years (from 2010 to 2018). Thus, modeling the serial dependence structure of this type of intricate three-way tables is a challenge. D-vine copulas are a special class of multivariate copulas that are particularly suited for modeling serial dependence. This work aims to assess the evolution of the dependence relationship between the indexes of the HDI data set over time through D-vine copulas, which has not been fully used before in the area, as far as we are concerned. We tested our approach to European and African countries and compare their results.

     

Employing the Components of the Human Development Index to Drive Resources to Educational Policies

A new form of composition of the indicators employed to generate the United Nations Human Development Index (HDI) is presented here. This form of composition is based on the assumption that random errors affect the measurement of each indicator. This assumption allows for replacing the vector of evaluations according to each indicator by vectors of probabilities of being the best or the worst according to such attribute. The probabilistic composition of such probabilities of preference according to each indicator into probabilities of being the best or the worst according to all of them generates indices that may unveil, on one hand, performances to be followed and, on the other hand, extreme conditions that an additive composition would hide. Differences between the results of application of the diverse forms of composition are examined in the case of the HDI and in the case of the districts version of the HDI employed to compare Brazilian municipalities. It is verified that the smallest correlation between the education enrolment rate and the other indicators in the Brazilian case enlarges such differences.     

Education,Human Development and Quality of Life: Measurement Issues and Implications for India

This paper analyses and compares the measurement of indicators and variables in the construction of education index in Human Development Index (HDI) at the global, national and 18 sub-national human development reports in India since 1990. The results show non-comparability of measurement of the education indicators and variables. This implies that vertical and horizontal comparability of HDI may not be plausible for India. Implications of these analyses are highlighted for measurement of quality of life indices with special reference to physical quality of life index. Policy lessons are derived for future measurement of education index for India in particular, and other developing countries in general.

Negative and Positive Partial Mobility: A Study of the Relative Changes in Human Development

In this paper, we have considered the issues concerning dynamic changes in HDI and its various components from a relative standpoint. The analysis of HDI mobility should entail directional movement introduced by Fields (in Distribution and development: a new look at the developing world. MIT Press, Cambridge, 2001). However, Fields’ analysis was in the space of absolute values. Here, we will try to extend this exercise to the positional mobility index by considering the question of improvement and deterioration in relative positions. This requires the concept of partial mobility where mobility is judged from the viewpoint of a particular group. We then try to introduce directional changes in partial mobility through axiomatic framework. Finally, we provide an illustrative example from the Indian data.     

中国人类发展指标体系构建及各地人类发展水平比较研究

本文在UNDP创建的HDI三个维度基础上,根据中国人类发展的特点,增加脱贫和公平维度,构建中国人类发展指数(CHDI),并运用中国各省区市2003、2005和2008年相关统计数据,计算出中国各省区市人类发展指数(CHDI)值,揭示各省区市人类发展水平现状,对各省区市人类发展水平、趋势进行判断;在此基础上,重点对中国各省区市人类发展水平进行聚类划分,为科学分析中国人类发展指数影响因子,揭示中国各省区市人类发展规律,制定正确的经济社会政策提供依据。     

Spatial Analysis of the Relationship Between a Life Quality Index,HDI and Poverty in the Province of Buenos Aires and the Autonomous City of Buenos Aires,Argentina

The study of Quality of Life, Poverty and Human Development shares several elements. Nonetheless, while poverty is a measure of “lack” based on a set of basic need variables (unsatisfied basic needs—UBN), human development index (HDI) is derived from the notion of human capabilities. Quality of Life, however, is a measure of achievement. Our goal is to analyze the degree of spatial correspondence between a life quality index (LQI) and the other indices by using bivariate spatial autocorrelation with its global and local values. The comparison of these three indicators at a municipal level in the province of Buenos Aires and in the Autonomous City of Buenos Aires (the Federal Capital of Argentina) reveals a medium spatial correspondence which leaves room for discussion about the scope and limitations of the indicators. HDI and UBN have a similar spatial configuration while the LQI yields a more fragmented distribution associated to the complexity of its variables, dimension and weights.     

Attracting Attention for the Cause. The Reporting of Three Indices in the UK National Press

Indicators and indices (a collection of indicators into a single value) have been promoted for some time as convenient devices for the presentation of complex datasets to a more general audience. Examples of indices are the corruption perception index (CPI), human development index (HDI) and ecological footprint (EF). The research reported in this paper was designed to explore the extent to which the CPI, HDI and EF have been reported in UK national newspapers between January 1990 and December 2009, and whether there are differences between the indices in the pattern of reporting. Results suggest that reporting of the CPI was linked to the timing of reports issued by Transparency International. The same was partly true of reporting of the HDI and timing of release of Human Development Reports s by the UNDP. The EF has more reports than the CPI and HDI, and this is related in part to its greater flexibility and adaptability at more local (intra-UK) scales. The paper recommends that those creating such indices look beyond the methodological dimension and consider how best to make the index resonate with the media.