深度贫困地区农户多维贫困测度及影响因素研究——基于青海藏区四县的实证调查

Research on Multidimensional Poverty Measurement and Influencing Factors of Farmers in Deeply Poor Areas:Based on the Investigation of the Four Counties in the Tibetan Area of Qinghai

促进贫困地区发展是我国脱贫攻坚的首要任务,是新时代国家扶贫开发的重要战略之一。文章根据青海省尖扎县、泽库县、共和县和兴海县建档立卡贫困户数据,采用A-F方法测算了四县多维贫困指数,并在此基础上,通过构建Logit模型分析了青海省四县多维贫困的影响因素。研究结果表明,教育是致贫的主要原因,户主性别、年龄和劳动能力、家庭人数、家庭属性、医疗及基础设施建设等均在不同程度上影响了单维贫困和多维贫困的发生。为此,文章在教育、技能培训与基础设施建设等方面提出青海省贫困地区反贫困的路径。

Promoting the development of poverty-stricken areas is the primary task of my country’s poverty alleviation and one of the important national poverty alleviation and development strategies in the new era.This paper uses the AF method to calculate the multidimensional poverty index of the four counties based on the data of registered poor households in Jianzha,Zeku,Gonghe and Xinghai counties in Qinghai Province,and on this basis,the influencing factors of multidimensional poverty in the four counties of Qinghai Province are analyzed by constructing a Logit Model.The research results show that education is the main cause of poverty.The gender,age and working ability of the head of the household,family size,family attributes,medical and infrastructure construction,etc.all affect the occurrence of single-dimensional poverty and multidimensional poverty to varying degrees.To this end,this article puts forward the path of anti-poverty in poverty-stricken areas in Qinghai Province in terms of education,skill training and infrastructure construction.