劳动供给与农村家庭多维相对贫困减贫  

Labor Supply and Multi-dimensional Relative Poverty Reduction of Rural Families

作　　者：裴劲松[1] 矫萌 Pei Jinsong;Jiao Meng

机构地区：[1]北京交通大学经济管理学院

出　　处：《中国人口科学》2021年第3期69-81,127,128,共15页Chinese Journal of Population Science

摘　　要：文章基于2012~2018年中国家庭追踪调查(CFPS)数据,从全面发展的目标出发,运用BP神经网络和A-F方法测度中国不同地区农村家庭多维相对贫困状况,进而运用PSM方法与Logit模型评估劳动供给广度、深度、类型对家庭轻度、深度多维相对贫困的影响。研究结果表明:(1)劳动参与显著减轻全国各地区农户的多维相对贫困状况,减贫效应尤其作用在资产状况、发展机会维度;(2)超时劳动不利于全国各地区的多维相对贫困减贫,主要抑制资产的积累和可行能力的提升;(3)自雇型非农劳动有利于增强农村劳动者与社会的互动,提升人力资本与可行能力,改善自身及其家庭在教育、健康、物质等方面的贫困状态。Based on data of the China Family Panel Survey(CFPS)from 2012 to 2018 and using BP neural network and AF methods,from the goal of integrated development,the paper measures the multi-dimensional relative poverty of rural families in different regions of China,and evaluates the impact of the breadt h,depth,and type of labor supply on household light and deep multi-dimensional relative poverty by using PSM method and Logit model.The research results show that:(1)labor participation can significantly reduce the multi-dimensional relative poverty of rural households in different regions,and the poverty reduction effect is particularly important in asset status and development opportunity dimensions.(2)Overtime work is not conducive to the multi-dimensional relative poverty reduction in rural areas mainly for inhibiting the accumulation of assets and the improvement of feasible capabilities.(3)Self-employed non-agricultural labor is conducive to enhancing the interaction between rural labor and society,enhancing human capital and feasible capabilities,and in improving the poverty status of themselves and their families in terms of education,health,and material.

关 键 词：劳动供给 多维相对贫困 自雇型非农劳动 可行能力 BP神经网络 

分 类 号：F323.8[经济管理—产业经济] F249.2