A new sustainable human development indicator for small island developing states: A reappraisal from data envelopment analysis

Blancard, Stéphane; Hoarau, Jean-François

doi:10.1016/j.econmod.2012.10.016

Cited by 77 publications

(37 citation statements)

References 40 publications

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“…The HDI was initially developed to underline that people and their capabilities should be the ultimate criteria for evaluating the development level of a country along with economic growth (UNDP, 2013a). Despite a number of authors discuss some drawbacks of the HDI (Trabold-Nübler, 1991;Hicks, 1997;Ivanova, Arcelus, & Srinivasan, 1999;Chowdhury & Squire, 2006;Klugman, Rodríguez, & Choi, 2011), and even propose some modified indices (Paul, 1996;Sharma, 1997;Noorbakhsh, 1998;Chakravarty, 2003;Mazumdar, 2003;Grimm, et al, 2008;Harttgen & Klasen, 2012;Herrero, Martínez, & Villar, 2012;Bilbao-Ubillos, 2013;Blancard & Hoarau, 2013); one of the most significant superiorities of the HDI is regarded as its usefulness that is able to represent both social and economic development through a single value between 0 and 1 (UNDP, 2013b).…”

Section: Human Development and The Hdimentioning

confidence: 99%

Determinants of the Levels of Development Based on the Human Development Index: A Comparison of Regression Models for Limited Dependent Variables

Eren

Çelik

Kubat³

2014

RES

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This paper aims to examine the factors affecting the level of development of countries using various regression models for limited dependent variables including binary logit, probit and Tobit analyses. In this manner, the paper may suggest a road map for high developed countries to achieve very high developed levels. For this purpose, Human Development Indices of 84 countries were involved in the analysis with respect to nine independent variables. The results of the all regression models indicate that determinants including life expectancy at birth, expected years of schooling, labour force participation rate (female-male ratio), and GDP per capita have statistically significant effects on the level of development.

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Section: Human Development and The Hdimentioning

confidence: 99%

Determinants of the Levels of Development Based on the Human Development Index: A Comparison of Regression Models for Limited Dependent Variables

Eren

Çelik

Kubat³

2014

RES

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“…Moreover, as the assessment method of DEA not only can bypass calculations of indicator weights and data standardization, but because it is also qualified for evaluating green development efficiency, a growing number of scholars from all over the world choose the DEA method to give appraisals of eco-efficiency and sustainability of regional development [21][22][23].…”

Section: "Urban Green Growth Means Fostering Economic Growth and Devementioning

confidence: 99%

Assessing Green Development Efficiency of Municipalities and Provinces in China Integrating Models of Super-Efficiency DEA and Malmquist Index

Qing

Wan

2015

Sustainability

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Abstract:In order to realize economic and social green development, to pave a pathway towards China's green regional development and develop effective scientific policy to assist in building green cities and countries, it is necessary to put forward a relatively accurate, scientific and concise green assessment method. The research uses the CCR (A. Charnes & W. W. Cooper & E. Rhodes) Data Envelopment Analysis (DEA) model to obtain the green development frontier surface based on 31 regions' annual cross-section data from 2008-2012. Furthermore, in order to classify the regions whereby assessment values equal to 1 in the CCR model, we chose the Super-Efficiency DEA model for further sorting. Meanwhile, according to the five-year panel data, the green development efficiency changes of 31 regions can be manifested by the Malmquist index. Finally, the study assesses the reasons for regional differences; while analyzing and discussing the results may allude to a superior green development pathway for China.

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“…It is out of the scope of this paper to give a thorough review (but see [14][15][16]). Instead, we recognized and summarized recent efforts to modify and apply the HDI in development assessments into three categories: (1) studies that apply the HDI to examine and compare its tempo-spatial variations in different countries (e.g., [17,18]); (2) studies that modify the HDI by adding one or more indicators on the environmental dimension, and compare the results between the original and modified HDI indices (e.g., [19,20]); and (3) studies that analyze the relationship between the HDI and other variables. Examples include incidence and mortality of certain disease [21][22][23][24][25][26], drug use [27], patient profiles [28], food consumption, obesity [29], suicide and homicide [30], prevalence of physical inactivity [31], infrastructure [32,33], total fertility rate [34], and worldwide governance indicators [35].…”

Section: Introductionmentioning

confidence: 99%

Urbanization and Socioeconomic Development in Inner Mongolia in 2000 and 2010: A GIS Analysis

Huang

Jiang

2017

Sustainability

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Economic indicators and other indices measuring overall development describe local development trajectories differently. In this paper, we illustrated this difference and explored how urbanization is related to development by a case study in Inner Mongolia, China. We calculated the human development index (HDI) and compared the temporal and spatial dynamics of the overall development (represented by the HDI) and economic growth (represented by the GDP) in 2000 and 2010. We conducted partial correlation analysis between the HDI and urbanization rate whilst controlling for the effects of the GDP. Our results showed that the spatial pattern of the HDI was little in 2000 and became clearer in 2010 when the western part tended to have higher values and the northeastern part tended to have lower values. The spatial trend for the GDP was obvious in 2000 as the high values clustered in the northwest and the low values clustered in the southeast but became less obvious in 2010 when high values clustered in several counties in the southwest and low values took up almost the entire northeast and some counties in the middle. Furthermore, we found that the HDI of all the city districts were significantly higher than their surrounding rural counties in both 2000 and 2010. Urbanization rates are found to be positively correlated with the HDI even when we controlled the effects of the GDP (p < 0.001). This study illustrated that the HDI and GDP told different stories on local performance in development at the county level. Translating the fast economic growth into an improvement in education and health relies on many other factors and our results seem to suggest that urbanization is one of these factors.

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A new sustainable human development indicator for small island developing states: A reappraisal from data envelopment analysis

Cited by 77 publications

References 40 publications

Determinants of the Levels of Development Based on the Human Development Index: A Comparison of Regression Models for Limited Dependent Variables

Determinants of the Levels of Development Based on the Human Development Index: A Comparison of Regression Models for Limited Dependent Variables

Assessing Green Development Efficiency of Municipalities and Provinces in China Integrating Models of Super-Efficiency DEA and Malmquist Index

Urbanization and Socioeconomic Development in Inner Mongolia in 2000 and 2010: A GIS Analysis

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