印度农村的种姓,地方治理的有效性和多维贫困:一些证据
Amarachi Onyeyirichi Ogbonna1, Charles Aaron Adams Ekuban1, C Muralee Krishnan2
1Amrita School for Sustainable Futures, Amrita Vishwa Vidyapeetham, Amritapuri, India.
Frontiers in sociology
|February 26, 2025
概括
有效的地方治理减少了印度的农村贫困,而较高的 অনুসূচিত姓 (SC) 和 অনুসূচিত部落 (ST) 人口与增加的多维贫困相关,特别是在ST社区.
科学领域:
- 社会经济研究是社会经济研究.
- 公共政策分析 公共政策分析
- 发展经济学发展经济学
背景情况:
- 多维贫困仍然是印度农村的一个重大挑战.
- 了解治理,人口统计和贫困之间的相互作用对于有效的政策干预至关重要.
- 现有的研究突出显示,受排列种姓 (SC) 和受排列部落 (ST) 人口所面临的差异.
研究的目的:
- 调查地方治理有效性,SC和ST人口密度和印度农村多维贫困之间的关系.
- 量化治理和人口因素对多维贫困指数 (MPI) 的影响.
- 确定特定的弱点,并为有针对性的减贫战略提供信息.
主要方法:
- 利用了2011年印度人口普查,2011年社会经济和种姓普查 (SECC),2020年安泰多亚使命和2019/21年国家家庭和健康调查 (NFHS) 的数据.
- 使用回归和相关性分析来检查变量之间的关联.
- 计算了全国农村多维贫困指数 (MPI).
主要成果:
- 发现全国农村MPI为0.110,26%的农村人口经历了多维贫困.
- 农村MPI与地方治理有效性之间观察到显著的负相关性 (每1%的治理改善减少了0.32%的MPI).
- 较高的SC和ST人口密度与MPI增加有关 (0.14%的MPI上升每1%的密度增加),ST密度显示出更强的关联.
结论:
- 有效的地方治理是减少农村多维贫困的关键因素.
- 具有高SC和ST人口的地区,特别是ST,需要有针对性的减贫努力.
- 该研究强调需要更新数据,以全面解决农村贫困动态.
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