Jain Anoop, Rajpal Sunil, Rana Md Juel, Kim Rockli, Subramanian S V
Global Health & Social Medicine, Harvard Medical School, Boston, MA 02115 USA.
Interdisciplinary Program in Precision Public Health, Department of Public Health Sciences, Graduate School of Korea University, Seoul, South Korea.
Humanit Soc Sci Commun. 2023;10(1):18. doi: 10.1057/s41599-023-01509-0. Epub 2023 Jan 17.
India has seen enormous reductions in poverty in the past few decades. However, much of this progress has been unequal throughout the country. This paper examined the 2019-2021 National Family Health Survey to examine small area variations in four measures of household poverty. Overall, the results show that clusters and states were the largest sources of variation for the four measures of poverty. These findings also show persistent within-district inequality when examining the bottom 10th wealth percentile, bottom 20th wealth percentile, and multidimensional poverty. Thus, these findings pinpoint the precise districts where between-cluster inequality in poverty is most prevalent. This can help guide policy makers in terms of targeting policies aimed at reducing poverty.
在过去几十年里，印度在减贫方面取得了巨大成效。然而，该国大部分地区的这一进展并不均衡。本文通过研究2019 - 2021年全国家庭健康调查，考察了家庭贫困四项指标的小区域差异。总体而言，结果表明，集群和邦是贫困四项指标差异的最大来源。这些发现还表明，在考察最低10%财富百分位数、最低20%财富百分位数和多维贫困时，区内不平等现象持续存在。因此，这些发现明确指出了贫困集群间不平等最为普遍的具体地区。这有助于指导政策制定者制定旨在减少贫困的针对性政策。
