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首页> 外文期刊>Opsearch: Journal of the Operational Research Society of India >Multistage method of measuring human development through improved directional distance formulation of data envelopment analysis: application to Indian States
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Multistage method of measuring human development through improved directional distance formulation of data envelopment analysis: application to Indian States

机译:通过改进数据包络分析的方向距离公式来衡量人类发展的多阶段方法:在印度国家中的应用

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摘要

United Nations Development Program (UNDP) introduced the Human Development Index (HDI) in 1990 to measure human development of its member countries. Since then United Nations (UN) has been publishing HDI annually in its Human Development Report. The HDI is a composite index calculated on the basis of three major dimensions of human development; longevity, educational attainment and standard of living. To address the issue of regional disparities among the states in the countries in terms of human well beings a method to measure extent of disparity based on optimum combination of the indicators is required. In this paper we reassess the HDI through directional distance formulation of data envelopment analysis (DEA) of Indian states. Here, we re-estimate the HDI by fmding relative efficiency of different states of India. Human development is benchmarked on the basis of empirical observations of states with best practice. A new estimation of HDI is made under the same assumptions as that of the original HDI. When the new measure of human development is compared with original HDI, it is found that they are highly correlated. Further, a new procedure, multistage reference technology is introduced to improve the performance of backward states in a stepwise approach. The paper develops a new method for computing HDI that aims at reducing regional disparities systematically.
机译:联合国开发计划署(开发计划署)于1990年引入了人类发展指数(HDI)来衡量其成员国的人类发展。自那时以来,联合国(UN)每年都在其《人类发展报告》中发布人类发展指数。人类发展指数是根据人类发展的三个主要方面计算出的综合指数。长寿,教育程度和生活水平。为了解决人类福祉方面国家之间各州之间的地区差异问题,需要一种基于指标的最佳组合来衡量差异程度的方法。在本文中,我们通过印度各州数据包络分析(DEA)的方向距离公式来重新评估HDI。在这里,我们通过发现印度不同州的相对效率来重新估计HDI。人类发展的基准是根据对具有最佳实践的国家的经验观察得出的。 HDI的新估算是在与原始HDI相同的假设下进行的。将人类发展的新指标与原始人类发展指数进行比较时,发现它们具有高度相关性。此外,为了逐步改善反向状态的性能,引入了一种新的过程,多级参考技术。本文开发了一种新的计算HDI的方法,旨在系统地减少区域差异。

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