摘要
基于农村产业融合发展影响农村贫困减缓的内在机理,利用2010—2017年中国省际面板数据,采用LSDV方法和面板分位数回归方法,实证检验了农村产业融合发展对农村贫困减缓的基准影响以及非线性效应。结果发现:农村贫困程度与农村产业融合发展之间的负向关系十分明显,即农村产业融合发展显著促进了农村贫困减缓;与此同时,农村产业融合发展对农村贫困减缓存在着显著边际递减的非线性驱动效应,即在农村贫困程度由高变低的动态过程中,农村产业融合发展对农村贫困减缓的边际作用逐步减弱。研究结论有助于理解农村产业融合与农村贫困减缓的关系,能够为乡村振兴和农村产业融合发展提供新的见解。
Based on the internal mechanism of the impact of rural industrial convergence development on rural poverty alleviation,this paper empirically tested the benchmark impact and nonlinear effect of rural industrial convergence development on rural poverty alleviation by using China's inter-provincial panel data from 2010 to 2017,LSDV method and panel quantile regression method.The results show that there is an obvious negative correlation between rural poverty level and rural industrial convergence development,that is,rural industrial convergence development has significantly promoted the alleviation of rural poverty.At the same time,rural industrial convergence development has a nonlinear driving effect of significant marginal decline on the alleviation of rural poverty.That is to say,in the dynamic process from high to low level of rural poverty,the marginal effect of rural industrial convergence development on the alleviation of rural poverty gradually weakens.The conclusion of this paper not only helps to understand the relationship between rural industrial convergence and rural poverty alleviation,but also provides new insights for rural revitalization and rural industrial convergence development.
作者
李晓龙
陆远权
LI Xiao-long;LU Yuan-quan(School of Big Data Application and Economics,Guizhou University of Finance and Economics,Guiyang 550025,China;School of Public Affairs,Chongqing University,Chongqing 400044,China)
出处
《统计与信息论坛》
CSSCI
北大核心
2019年第12期67-74,共8页
Journal of Statistics and Information
基金
国家社会科学基金一般项目《湘鄂渝黔毗邻民族地区脱贫农户生计可持续的长效保障机制研究》(18BMZ149)
国家社会科学基金重点项目《农村金融服务深化与县域农村产业融合发展研究》(17AJY020)
贵州财经大学引进人才科研启动项目《乡村振兴战略下贵州农村金融服务的精准供给机理与模式研究》(2019YJ038)
关键词
农村产业融合发展
农村贫困减缓
非线性特征
面板分位数
rural industrial convergence development
rural poverty reduction
nonlinear characteristic
panel quantile