Sustainable development goals adopted by the United Nations in 2015 emphasize on poverty reduction and inclusive growth. In India, development policies focusing on poverty reduction have been implemented since independence. However, there is evidence of rising inequality and slowing down of the rate of poverty reduction, after the introduction of economic reforms. The state governments in India have an important role to play in poverty alleviation. Thus, it is necessary to measure the performance of the states in respect of the same. Data envelopment analysis is used by considering input variables, namely, growth, development expenditure, irrigation, and government performance. Percentage of non‐poor is used as an output variable. This paper measures efficiency with which poverty has been alleviated in 19 states covering 90% population, for the years 2006, 2010, and 2014. Resource‐rich states are found to be inefficient, whereas states with resource scarcity use them efficiently. Moreover, poor states with lower per capita gross domestic product (GDP) are found to be more efficient as compared to those with higher per capita GDP. The states with high incidence of poverty are found to be catching up with states with low incidence of poverty. It is found that inequality and high indebtedness adversely impact the efficiency of states.

中文翻译：

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使用数据包络分析衡量印度各州减轻贫困的效率

联合国2015年通过的可持续发展目标强调减少贫困和包容性增长。自独立以来，印度已实施了以减轻贫困为重点的发展政策。但是，有证据表明，在实行经济改革之后，不平等现象加剧，减贫速度放慢。印度的州政府在减轻贫困中可以发挥重要作用。因此，有必要测量状态的状态。数据包络分析用于考虑输入变量，即增长，发展支出，灌溉和政府绩效。非贫困百分比用作输出变量。本文衡量了覆盖90％人口的19个州减轻贫困的效率，对于2006年，2010年和2014年，发现资源丰富的州效率低下，而资源稀缺的州则有效地使用它们。此外，与人均国内生产总值较高的国家相比，人均国内生产总值较低的贫穷国家的效率更高。发现贫困率高的州正在赶上贫困率低的州。发现不平等和高负债不利地影响了国家效率。发现贫困率高的州正在赶上贫困率低的州。发现不平等和高负债不利地影响了国家效率。发现贫困率高的州正在赶上贫困率低的州。发现不平等和高负债不利地影响了国家效率。