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Dynamic Measurement and Structural Decomposition of Deep Poverty in Contiguous Destitute Areas
Computational Intelligence and Neuroscience ( IF 3.120 ) Pub Date : 2021-09-17 , DOI: 10.1155/2021/9461652
Da-Yang Zhang 1 , Rui-Feng Peng 1 , Jin-Biao Zheng 2 , You-Qun Wu 1 , Xiao-Yi Wang 3
Affiliation  

Based on the sample data from 2005 to 2019, this paper calculates the poverty nature of contiguous destitute areas through FGT index and its decomposition and systematically analyzes the impact of economic growth, inequality, and population change on poverty change. From the decomposition results of poverty change, we can see that, first, economic growth, inequality, and population change have different impacts on poverty change in counties and rural areas, and inequality and population mobility have widened the gap between them; second, population factor has always played a key role in the change of poverty, and the deceleration of population growth has a more significant impact on poverty change; third, the impact of the mobility on the poverty change of the counties is different from that of the rural areas. Accordingly, the paper puts forward some countermeasures and suggestions, such as promoting the organic connection between rural revitalization and poverty alleviation, speeding up rural governance, and promoting the process of urbanization.

中文翻译:

连片特困地区深度贫困动态测度与结构分解

本文基于2005-2019年的样本数据,通过FGT指数及其分解测算连片特困地区的贫困性质,系统分析了经济增长、不平等和人口变化对贫困变化的影响。从贫困变化的分解结果可以看出,一是经济增长、不平等和人口变化对县域和农村贫困变化的影响不同,不平等和人口流动拉大了两者之间的差距;第二,人口因素在贫困变化中始终发挥着关键作用,人口增长放缓对贫困变化的影响更为显着;第三,流动对县域贫困变化的影响与农村不同。因此,
更新日期:2021-09-20
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