Using Multidimensional Poverty Measure to Target Right Beneficiaries to Achieve Sustainable Development Goal-1 in India

Sunil Khosla, Pradyot Ranjan Jena
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引用次数: 1

Abstract

Shocks are responsible for significant setbacks in development progress because it persistently inflicts a negative impact on livelihood. As a result, those who are poor continue to be poor, and those who are not poor become vulnerable to falling into poverty. The analysis of the link between risks and vulnerability to poverty in developing countries is a major focus of development policy to ensure the resilience of vulnerable households. However, there is a lack of research in India that examines the potential impact of shocks on poverty and future deprivation. The objective of this study is to estimate vulnerability to multidimensional poverty (VMDP) and analyse the factors that lead to loss of well-being after experiencing adverse events in rural Odisha. Using survey data from 479 households, the study first estimated multidimensional poverty (MDP), adopting a counting approach. Secondly, the estimation of VMDP is performed using the three-step feasible generalised least squares approach. The results show that 55% of the surveyed households are vulnerable to MDP in rural Odisha. It is also observed that 35% of currently poor households are likely to remain poor and 20% of non-poor households are at risk of sliding into poverty. The study suggests that poverty alleviation policies should cover not just those in poverty today but also those at risk of becoming poor in the near future.
在印度使用多维贫困衡量来确定权利受益人以实现可持续发展目标1
冲击是发展进程遭受重大挫折的原因,因为它持续对生计造成负面影响。结果,穷人继续贫穷,而那些不贫穷的人很容易陷入贫困。分析发展中国家的风险和易受贫困影响之间的联系是发展政策的一个主要重点,目的是确保脆弱家庭的复原力。然而,印度缺乏调查冲击对贫困和未来剥夺的潜在影响的研究。本研究的目的是估计多维贫困(VMDP)的脆弱性,并分析导致奥里萨邦农村经历不良事件后失去福祉的因素。该研究利用来自479个家庭的调查数据,采用计数方法首次估算了多维贫困(MDP)。其次,采用三步可行广义最小二乘方法对VMDP进行估计。结果显示,在奥里萨邦农村,55%的被调查家庭容易受到MDP的影响。报告还指出,35%的当前贫困家庭可能继续贫困,20%的非贫困家庭有陷入贫困的风险。这项研究表明,扶贫政策不仅应该覆盖目前的贫困人口,还应该覆盖那些在不久的将来有可能变得贫困的人。
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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