Open AccessCapability-Based Poverty Reduction in Deep-Poor Areas Based on Big Data-- a Case Study of J County, Liangshan Prefecture, Sichuan Province
Author(s) -
Wanqing Sang,
Xiaoming Gao
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1852/4/042073
Subject(s) - poverty , sustainable development , population , development economics , basic needs , poverty reduction , economic growth , economics , political science , sociology , demography , law
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.