摘要
乡村振兴战略的全面实施推动了乡村数字化进程,使得农村地区移动互联网不断发展。文章基于2018年中国家庭追踪调查(CFPS)数据,实证分析了互联网使用对农户家庭贫困脆弱性的影响,并以劳动力转移和社会资本为中介来探索互联网使用对农户家庭贫困脆弱性的作用机制。结果表明:互联网使用不仅能够显著降低农户家庭贫困脆弱性,而且通过促进农户家庭劳动力转移、丰富农户家庭社会资本对农户家庭贫困脆弱性间接产生显著的抑制作用。采用倾向得分匹配法与工具变量法后,结果显示稳健;异质性结果显示,互联网使用对农户家庭贫困脆弱性的抑制作用在东、西部地区更为明显;分位数回归模型显示,两种贫困线标准下,互联网使用对贫困脆弱性较高的农户家庭产生的影响更大。因此,在推进乡村振兴战略过程中,要更加注意完善西部地区网络基础设施,帮助低收入群体更好地利用互联网,以降低农户家庭贫困脆弱性。
Based on the data of China household Tracking Survey in 2018,this paper empirically analyzed the impact of the Internet use on poverty vulnerability of farmers,and explored the mechanism of the Internet use on poverty vulnerability of farmers through the mediation of labor transfer and social capital.The results show that the Internet use can not only significantly reduce poverty vulnerability of farmers,but also indirectly inhibit their poverty vulnerability by promoting labor transfer and enriching farmers’social capital.Propensity score matching method(PSM)has been used to estimate,and the results is robust.Heterogeneity results show that the inhibition effect of Internet use on the poverty vulnerability of farmers is more obvious in the eastern and western regions.The quantile regression model shows that under the same poverty line,the impact of the Internet use on farmers with higher vulnerability to poverty is greater.Therefore,in the process of promoting the rural revitalization strategy,more attention should be paid to improving the the Internet infrastructure in western China and helping low-income groups better use the Internet to reduce the vulnerability to poverty of farmers.
作者
黄凯迪
陈江华
Huang Kaidi;Chen Jianghua(College of Economics and Management,Jiangxi Agricultural University,Nanchang 330044,China;Jiangxi Rural Revitalization Strategy Research Institute,Jiangxi Agricultural University,Nanchang 330045,China)
出处
《新疆农垦经济》
2022年第7期21-33,共13页
Xinjiang State Farms Economy
基金
国家自然科学基金重点项目(项目编号:71934003)
江西省高校人文社科项目研究项目(项目编号:JJ21227)。
关键词
乡村振兴
互联网使用
贫困脆弱性
中介效应
rural revitalization
internet use
vulnerability to poverty
the mediation effect
