Human Development Index and Its Enhancement with Selection Procedure of Its Components

Ishwari Prasad Banjade, Shanta Gautam
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Abstract

This paper aims to identify the rational components and statistical technique to measure of performance in key dimensions of human development. The study uses desk review particularly the literature that focused quantitative techniques and human development. Different ideas, models, concepts and knowledge of human development are drawn from various literature. Those models and concepts of human development are evolving over time and building on the strengths and weaknesses of the previous models and concepts. Many recent studies suggest that the Human Development Index (HDI) is incomplete and so there is an urgent need to modify and develop new measuring tool for human development. In connection with this issue the study focuses to identify and develop rational components and appropriate model that can overcome the deficiency of the existing models. The study recommends to use Principal Component Analysis (PCA) and Multiple Regression Analysis (MRA)which are found statistical techniques to develop the estimators for measuring the level of human development. The appropriate components and modified models are proposed on the basis of derived components with statistical techniques for measuring the level human development in rational manner.
人类发展指数及其成分选择的提高
本文旨在确定合理的组成部分和统计技术,以衡量绩效在人类发展的关键维度。该研究使用了桌面回顾,特别是关注定量技术和人类发展的文献。人类发展的不同思想、模式、概念和知识是从各种文献中得出的。这些人类发展的模式和概念随着时间的推移而演变,并建立在以前的模式和概念的长处和弱点之上。最近的许多研究表明,人类发展指数(HDI)是不完整的,因此迫切需要修改和开发新的人类发展衡量工具。针对这一问题,研究的重点是识别和开发合理的组成部分和合适的模型,以克服现有模型的不足。该研究建议使用主成分分析(PCA)和多元回归分析(MRA)这两种统计技术来开发衡量人类发展水平的估计器。利用统计技术在推导出的分量基础上,提出了合理衡量人类发展水平的适当分量和修正模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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