摘要
随着乡村振兴战略的提出,我国电商发展水平和农民收入呈现出递增的趋势。文章基于我国2013—2019年31个省级面板数据,构建空间计量模型和门槛效应模型,实证检验了电商发展对农民收入的空间溢出效应和门槛效应。研究表明,电商发展可以显著地促进农民增收,并对周边地区农民收入产生正向的空间溢出效应。进一步研究发现,电商发展与农民增收之间并非是简单的线性关系。电商发展水平作为门槛变量的双重门槛效应表明电商发展对农民增收的影响呈现出“边际效应”先递增后递减的非线性变化趋势,而政府财政支持力度作为门槛变量的三重门槛效应表明政府财政支持力度对农民增收的影响呈现“边际效应”递增的效果。基于研究结果,文章从完善基础设施建设,建立健全电商平台信息化服务体系,加大政府财政投资力度,加强电商人才队伍的建设与培养等角度提出促使农民增收的建议对策。
With the proposal of the rural revitalization strategy,the development level of Chinese e-commerce and farmers’ income present an increasing trend.Based on 31 provincial panel data from 2013 to 2019 in China,this paper constructs a spatial econometric model and a threshold effect model,and empirically tests the impact of e-commerce development on farmers’ income.The research shows that the development of e-commerce can significantly increase the income of farmers and have a positive spatial spillover effect on the income of farmers in surrounding areas.Further research finds that the relationship between e-commerce development and farmers income increase is not a simple linear relationship.As the double threshold effect in the threshold variables,the e-commerce development level indicates that its impacts on farmers’ income increase presents a nonlinear trend of "marginal effect" which increases first and then decreases.The impact of the government financial support,which is the triple threshold effect in threshold variables,on farmers’ income increase presents an increasing trend in the "marginal effect".Finally,according to the result of empirical analysis,the paper proposes countermeasures to promote farmers income from the perspective of improving the infrastructure construction,establishing an e-commerce platform information service system,increasing government financial investment and strengthening the construction and training of e-commerce talent team.
作者
王慧敏
Wang Huimin(School of Economics,Guizhou University,Guiyang 550025,China)
出处
《新疆农垦经济》
2022年第10期11-22,共12页
Xinjiang State Farms Economy
关键词
电商发展
农民收入
空间溢出效应
门槛效应
e-commerce development
farmers’income
spatial spillover effect
threshold effect
