用数据包络分析衡量印度各邦减少贫困的效率

IF 1 Q3 SOCIAL WORK Poverty & Public Policy Pub Date : 2020-12-01 DOI:10.1002/POP4.294

Dilip Ambarkhane, Ardhendu Shekhar Singh, Bhama Venkataramani

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Measuring efficiency of Indian states for reducing poverty using data envelopment analysis

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来源期刊

Poverty & Public Policy SOCIAL WORK-

CiteScore

1.70

自引率

8.30%

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期刊介绍： Poverty is worldwide, but empirical studies of poverty, income distribution, and low-income aid programs for citizens have thus far been more common in America, Canada, Australia, and the major industrial nations of Europe. American and Canadian studies of poverty, income issues, and social welfare programs have, to an extent, been insular in scope. Poverty & Public Policy (PPP) is a global journal. In much of the world, including Central and South America, Africa, the Middle East and much of Asia, there are important studies of poverty, income and aid programs; little has been integrated into the scholarly literature, however, which is an oversight this journal aims to correct. Poverty & Public Policy publishes quality research on poverty, income distribution, and welfare programs from scholars around the globe. PPP is eclectic, publishing peer-reviewed empirical studies, peer-reviewed theoretical essays on approaches to poverty and social welfare, book reviews, data sets, edited blogs, and incipient data from scholars, aid workers and other hands-on officials in less developed nations and nations that are just beginning to focus on these problems in a scientific fashion.