社会资本与农户家庭多维贫困的门槛效应分析  被引量:8

Analysis of the Threshold Effect of Social Capital and Multidimensional Poverty in Peasant Households

在线阅读下载全文

作  者:车四方 谢家智[1] 舒维佳 CHE Si-fang;XIE Jia-zhi;SHU Wei-jia(School of Economics and Management,Southwest University,Chongqing 400715,China;College of Management,Sichuan Agricultural University,Sichuan Chengdu 611130,China)

机构地区:[1]西南大学经济管理学院,重庆400715 [2]四川农业大学管理学院,四川成都611130

出  处:《数理统计与管理》2018年第6期1063-1072,共10页Journal of Applied Statistics and Management

基  金:国家社会科学基金重点项目(12AGL008);中央高校基本科研业务费专项资金项目(SWU1709413)

摘  要:本文采用2010-2016中国家庭追踪调查(CFPS)面板数据,建立以人力资本、人均收入和社会资本存量为门槛变量的面板门槛模型,实证分析了社会资本与农户家庭多维贫困之间的非线性关系。研究结论表明:我国农户家庭的多维贫困水平呈现动态减弱趋势,且社会资本与农户家庭多维贫困之间都存在显著的“门槛”效应。具体地,当社会资本越过门槛值后,社会资本才能显著降低农户家庭多维贫困水平;同时,随着农户家庭人均收入、社会资本存量增加,越有利于改善农户家庭多维贫困状况。该研究结论为制定农户多维脱贫政策提供了新的依据。By using the China family panel studies (CFPS) data of 2010-2016, a panel threshold model with human capital, per capita income and social capital stock as threshold variables was established, and the nonlinear relationship between social capital and household multidimensional poverty was empirically analyzed. The results show that multidimensional poverty level of rural households in China has a dynamic weakening trend, and there is a significant "threshold" effect between the social capital and the multidimensional poverty of the household. Specifically, when social capital exceeds the threshold, the social capital can significantly reduce the multidimensional poverty level of peasant families. Meanwhile, with the increase of the per capita income of households and the stock of social capital, it is more beneficial to improve the multidimensional poverty of the household. The conclusion of this study provides a new basis for the formulation of peasant multidimensional policy of poverty reduction.

关 键 词:社会资本 多维贫困 门槛 面板 

分 类 号:F32[经济管理—产业经济] O212[理学—概率论与数理统计]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象