农村家庭相对贫困的脆弱性测量及影响因素分析  

Vulnerability Measurement and Influencing Factors Analysis of Relative Poverty in Rural Families

作　　者：钱力[1] 王花 QIAN Li;WANG Hua(School of Economics,Anhui University of Finance&Economics,Bengbu 233030,Anhui,China)

机构地区：[1]安徽财经大学经济学院,安徽蚌埠233030

出　　处：《农业经济与管理》2022年第2期49-58,共10页Agricultural Economics and Management

基　　金：国家社会科学基金项目(17BJY134);安徽省哲学社会科学规划项目(AHSKQ2021D159);安徽财经大学校级科研重大项目(ACKYA21002);安徽财经大学研究生科研创新基金项目(ACYC2021341)。

摘　　要：基于家庭追踪调查数据(CFPS),运用VEP测量模型度量农村家庭的贫困脆弱性,并利用二元Logistic模型,分析贫困脆弱性的影响因素。结果表明,农户家庭陷入相对贫困的概率不断降低;农户家庭的贫困脆弱性具有地区异质性;年龄、学历、家庭规模等因素对农户家庭的贫困脆弱性具有较显著影响。基于此,提出全面构建社会保障和经济发展成果共享体系,合理分配不同省份的教育、医疗、技术等资源,坚持教育公平、巩固提高义务教育水平等对策建议,为政府部门制定相应扶贫政策提供依据,从而促进农村生活条件的进一步改善和农村经济社会的全面发展。Based on the family tracking survey data(CFPS),the vulnerability as expected poverty(VEP)measurement model was used to measure the poverty vulnerability of rural families,and the binary logistic model is used to analyze the influencing factors of poverty vulnerability.The results showed that the probability of farmers’families falling into relative poverty was decreasing;the poverty vulnerability of peasant households had regional heterogeneity;age,educational background,family size and other factors had a significant impact on the poverty vulnerability of peasant households.On this basis,it put forward countermeasures and suggestions to comprehensively build a sharing system of social security and economic development achievements,reasonably allocate education,medical and technological resources in different provinces,adhere to educational equity,consolidate and improve the level of compulsory education,so as to provide basis for government departments to formulate corresponding poverty alleviation policies,so as to promote the further improvement of rural living conditions and the all-round development of rural economy and society.

关 键 词：贫困脆弱性 VEP 影响因素 LOGISTIC 

分 类 号：D632.1[政治法律—政治学]