Capability-Based Poverty Reduction in Deep-Poor Areas Based on Big Data-- a Case Study of J County, Liangshan Prefecture, Sichuan Province

Abstract

As the key area of poverty alleviation, the poverty problem is still serious, the problem of poverty alleviation is not sustainable, and the causes and manifestations of poverty are interwoven, it is more difficult to solve the problem of poverty because of the lack of endogenous development ability of the poor population, including the “demand” of seeking development and the “ability” of realizing demand. Therefore, this paper takes j county of Liangshan Prefecture in Sichuan Province as the object of investigation, and uses the theory of Amartya Sen to analyze the relationship between the capability of the poor population and poverty, the basic survival and development, productive capacity and development capacity of the poverty-stricken population all affect their poverty and are the factors that can not be ignored to achieve sustainable poverty eradication in the deep-poverty areas.