互联网与关系网:农村劳动力非农就业的影响因素分析  

Internet and Relationship Network:Analysis of Influencing Factorson Non-Agricultural Employmentof Rural Labor

作　　者：崔凯 CUI Kai(Rural Development Institute,Chinese Academy of Social Sciences,Beijing 100732,China)

机构地区：[1]中国社会科学院农村发展研究所,北京100732

出　　处：《西南科技大学学报（哲学社会科学版）》2020年第3期58-65,共8页Journal of Southwest University of Science and Technology:Philosophy and Social Science Edition

基　　金：国家社科基金项目“互联网时代农村地区资讯环境和农民资讯需求研究”(项目编号:17CXW030);北京社科基金项目“北京市数字乡村分类推进模式与实施路径研究”(项目编号:19GLC049)。

摘　　要：本文结合中国家庭追踪调查数据(CFPS)的农村居民样本,探讨互联网和关系网对非农就业的可能性影响。在多元Probit模型基础上通过虚拟实验构建工具变量,运用条件混合过程(CMP)的方法来识别内生性和优化估计。家庭和个体两个层面的估计结果表明,互联网和关系网均能够促进农村居民非农就业。就就业类型来看,关系网更有助于提升工资就业的可能性,而互联网更显著增加了创业的可能性。本文将互联网与关系网这两个影响就业创业行为的关键因素,纳入统一的多因素比较分析框架中,得到一致性结论。This study is conducted to recognize the effect of internet use and social network on the possibility of non-agricultural employmentby combiningrural samples from China Family Panel Studies(CFPS).On the basis of multiple Probit model,instrument variablesare selected and Conditional Mixed Process(CMP)method is used to deal withendogenous and improve estimation.Estimated resultsbased on family and individual levelshow that internet use and social network are both promoting rural nonfarm work.In terms of types of nonfarm work structure,social network is more helpful to increase the possibility of wage employment while internet use shows more significance to improve the possibility for entrepreneurial employment.Two key indicators,internet use and social network,which influence economic activities of employment and entrepreneurship,areincorporated intounified multi-factor comparative analysis framework,in order to get consistent conclusions.

关 键 词：互联网 关系网 农村劳动力 非农就业 

分 类 号：F323.6[经济管理—产业经济]