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Study of Poverty Alleviation Effects for Chinese Fourteen Contiguous Destitute Areas Based on Entropy Method Weiwei Chen , Danmeng Feng & Xiaoyuan Chu

发布时间: 2016-10-31  浏览次数:

 

Study of Poverty Alleviation Effects for Chinese Fourteen Contiguous Destitute Areas Based on Entropy Method
Weiwei Chen , Danmeng Feng  & Xiaoyuan Chu
doi:10.5539/ijef.v7n4p89 URL: http://dx.doi.org/10.5539/ijef.v7n4p89

Abstract

China has begun to implement a new round of poverty alleviation and development since 2011, according to the regional distribution, the poverty counties were divided into fourteen destitute areas as the main battlefield in next ten years for China's poverty alleviation. In order to understand the poverty alleviation effects more objectively, this paper uses entropy method to evaluate fourteen contiguous destitute areas in China in 2012, and makes correlation analysis with two reference groups which is one of the Characteristic of this paper. The results show that, poverty alleviation effects of fourteen contiguous destitute areas in 2012 is generally poor, because the mean values of five different correlation degrees in table 3 are lower than 50%, that means the difference between the evaluation value for each area with the minimum reference group does not reach half of the difference between the maximum and minimum reference groups. LiuPan Mountain Area’s performance is the best, the lowest is Wumeng Mountain Area. It is surprising that the performance of Wuling Mountain Area, which is pioneer of regional development and poverty alleviation confirmed by State Council of China, is poor. The comprehensive evaluation value of Wuling Mountain Area is only above the value of Tibet Area and Wumeng Mountain Area. In addition, from the comparison of four first-level indexes, the index of production and life makes the best contribution for comprehensive poverty alleviation effects, followed by index of social development and economic development, and the index of works progress of poverty alleviation is ranked last.
 
Keywords: depressed areas, poverty alleviation, regional development

 
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