摘要
解决相对贫困问题是我国反贫困战略的重心。我国相对贫困有“群体大、维度广、界定难、缓解慢”的特点,基于国内外关于相对贫困的特征识别和测度方法,选取2018年我国10个省份数据,利用解释结构模型中的层次划分以及偏序关系的应用,立足于经济维度、社会维度和生态维度建立评价体系,解决我国相对贫困识别困难的问题,结合有向哈斯图的分析结果,提出有效缓解我国相对贫困问题对策。
Solving the problem of relative poverty is the focus of China′s anti-poverty strategy.Relative poverty in China has the characteristics of′large population,wide dimension,difficult definition and slow alleviation′,based on the feature identification and measurement methods of relative poverty in China and abroad,the data of 10 provinces in China in 2018 are selected.By using the hierarchical division and partial order relationship in the explanatory structure model,an evaluation system is established based on economic,social and ecological dimensions,and efforts are made to solve the problem of identifying relative poverty in China.Combined with the analytical findings of Directed-Hasse Diagram,this paper puts forward some countermeasures to alleviate the relative poverty in China.
作者
邹再进
陈嘉
Zou Zaijin;Chen Jia(School of Economics and Management, Southwest Forestry University, Kunming Yunnan 650233, China)
出处
《西南林业大学学报(社会科学)》
CAS
2022年第2期43-48,共6页
Journal of Southwest Forestry University(Social Sciences)
基金
云南省社科规划科普项目资助
云南边疆民族地区基层乡村治理项目(SKPJ202013)资助。
关键词
相对贫困
熵权法
结构模型
有向哈斯图
relative poverty
entropy method
structural model
Directed-Hasse Diagram