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脱贫攻坚视角下农村低保对象认定的影响因素分析——基于山西省838家农户的调研数据

The Identification of Rural Subsistence Allowance under the Background of Poverty Alleviation Analysis of Influencing Factors:Based on a survey of 838 rural households in Shanxi Province
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摘要 "通过社会保障兜底一批"是精准扶贫方略"五个一批"的重要内容,如何更好的发挥低保政策兜底作用对于打赢脱贫攻坚战具有重要的现实意义。以山西省Y县838家农户调研资料为依据,采用二元Logistic回归模型对农户获得低保的影响因素进行实证分析。结果表明低保识别已经由收入的单维测度走向医疗、教育等多维测度,但仍能够较为准确的覆盖到低收入人群;病残人员、在校生对于低保的获得具有正向的显著影响;资源的分配更倾向于建档立卡户;家庭劳动力人数与获得低保帮扶呈负相关;医疗卫生支出、文化教育支出、耕地面积对低保获得的影响并不显著。 “By the social security to the bottom of the batch” is an important part of the “five batches” of the precise poverty alleviation strategy. How to better play the role of the subsistence policy has important practical significance. Based on the survey data of 838 households in Y county, the binary logistic regression model was used to empirically analyze the influencing factors of farmers’ minimum living security. The results show that the low-income identification has moved from the single-dimensional measurement of income to multi-dimensional measures such as medical care and education, but it can still cover the low-income population more accurately;the disabled and the students have a positive and significant impact on the acquisition of the minimum living allowance;The allocation of resources is more inclined to build a cardholder;the number of family laborers is negatively correlated with the assistance provided by the subsistence allowances;the impact of medical and health expenditures, cultural and educational expenditures, and cultivated land on the subsistence allowances is not significant.
作者 苏会 赵敏 SU Hui;ZHAO Min(School of Economics and Management, Shanxi Agricultural University, Taigu 030800, Shangxi, China)
出处 《中南林业科技大学学报(社会科学版)》 2019年第2期80-85,共6页 Journal of Central South University of Forestry & Technology(Social Sciences)
基金 山西省高等学校人文社会科学重点研究基地项目"山西省贫困地区乡村旅游发展研究-以吕梁为例"(2017316)
关键词 农村低保 脱贫攻坚 多维测度 LOGISTIC回归 rural subsistence allowance poverty alleviation multidimensional measurement logistic regression
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