区域贫困模糊综合评价分析——基于安徽省地级市的实证分析  

Fuzzy Comprehensive Evaluation Analysis of Regional Poverty——Empirical Analysis Based on Prefecture-level Cities in Anhui Province

作　　者：孙晓玲 Sun Xiaoling(School of Statistics and Mathematics,Zhongnan University of Economics and Law,Wuhan 430073,China)

机构地区：[1]中南财经政法大学统计与数学学院,湖北武汉430073

出　　处：《中南财经政法大学研究生学报》2020年第5期33-42,共10页Journal of the Postgraduate of Zhongnan University of Economics and Law

摘　　要：基于“贫困”测度对安徽省16个地级市的贫困程度进行分析,利用2018年安徽省统计数据建立“区域贫困”评价指标体系,运用熵值法计算各指标权重,构建模糊综合评价模型进行实证分析,先从生产收入、社会保障和生态承载三个维度分别评价地区贫困,再对地区贫困进行综合评价。研究发现:北部地区较南部地区更为贫困,经济不发达地区较经济发达地区更为贫困,生态承载能力低地区较生态承载能力较高地区更为贫困,多维度扶贫才是精准扶贫的金钥匙。最后,为安徽省脱贫扶贫提供了参考意见。Based on the“poverty”measure,poverty of 16 cities in Anhui Province is analyzed by using the statistical data in 2018 in Anhui Province,setting up evaluation index system of“regional poverty”,using the entropy weight method to calculate each index weight,building a fuzzy comprehensive evaluation model to carry on the empirical analysis,from the first production income,social security and the ecological carrying three dimensions,respectively evaluating regional poverty,and again carrying out the comprehensive evaluation of regional poverty.The research finds that northern regions are poorer than southern regions,economically underdeveloped regions are poorer than economically developed regions,and regions with low ecological carrying capacity are poorer than those with high ecological carrying capacity.Multi-dimensional poverty alleviation is the golden key to targeted poverty alleviation.Finally,it provides reference advice for poverty alleviation in Anhui Province.

关 键 词：区域贫困 贫困测度 模糊综合评价 熵权法 

分 类 号：F32[经济管理—产业经济]