印度多维贫困与包容性增长——基于增长弹性和半弹性的分析

S. Alkire, S. Seth
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引用次数: 3

摘要

改革后的印度实现了高速经济增长,但在收入贫困和许多其他关键发展成果方面的进展并不大。本文主要考察了印度在2005-06年至2015-16年期间的包容性经济增长如何减少全球多维贫困指数(MPI)所反映的多维贫困。我们采用一系列弹性和半弹性措施来检验经济增长的纵向、横向和维度包容性。在全国范围内,我们估计,在我们的研究期间,印度每年1%的经济增长与MPI每年减少1.34%有关。然而,国家经济增长与各州减贫(横向包容性)之间的关系并不统一。尽管2005-05年至2015-16年期间经济增长放缓,但一些州成功地以高于全国平均水平的速度减少了贫困;然而,在同一时期,尽管其他州的经济增长更快,但在这方面却不那么成功。我们的分析和发现表明,这些工具可以在实际应用中用于衡量包容性增长并为政策提供信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multidimensional Poverty and Inclusive Growth in India: An Analysis Using Growth Elasticities and Semi-elasticities
Post reform India has generated high economic growth, yet progress in income poverty and many other key development outcomes has been modest. This paper primarily examines how inclusive economic growth has been in India between 2005-06 and 2015-16 in reducing multidimensional poverty captured by the global Multidimensional Poverty Index (MPI). We employ a constellation of elasticity and semi-elasticity measures to examine vertical, horizontal as well as dimensional inclusiveness of economic growth. Nationally, we estimate that a one percent annual economic growth in India during our study period is associated with an annual reduction in MPI of 1.34 percent. The association of the national growth to state poverty reduction (horizontal inclusiveness) is however not uniform. Some states have been successful in reducing poverty faster than the national average despite slower economic growth between 2005-05 and 2015-16; whereas, other states have been less successful to do so despite faster economic growth during the same period. Our analyses and findings show how these tools may be used in practical applications to measure inclusive growth and inform policy.
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