农村电子商务发展对林区内部收入差距与共同富裕的影响  

Impact of Rural E-Commerce Development on Intra-Regional Income Gap and Shared Prosperity in Forested Areas

作　　者：潘丹 罗璐薏 季凯文 孔凡斌 Pan Dan;Luo Luyi;Ji Kaiwen;Kong Fanbin(School of Economics,Jiangxi University of Finance and Economics Nanchang 330013;School of Political Science and Law,Jiangxi Normal University Nanchang 330022;Institute of Digital Forestry&Green Development/School of Economics and Management,Nanjing Forestry University Nanjing 210037)

机构地区：[1]江西财经大学经济学院,南昌330013 [2]江西师范大学政法学院,南昌330022 [3]南京林业大学数字林业与绿色发展研究院/经济管理学院,南京210037

出　　处：《林业科学》2024年第5期35-50,共16页Scientia Silvae Sinicae

基　　金：国家自然科学基金项目(72363012,71863016,42071283);国家社会科学后期资助项目(23FGLB006);国家社会科学基金重大招标项目(23&ZD110);江西省社会科学规划基金项目(22SKJD08,23ZXRC14)。

摘　　要：[目的]在实现全体人民共同富裕的中国式现代化进程中,研究农村电子商务发展对林区内部收入差距与共同富裕的影响及其作用机制,为缩小农村内部收入差距、实现效率和公平有机统一、促进共同富裕提供有益参考。[方法]将“电子商务进农村综合示范政策”视为农村电子商务发展的一项“准自然试验”,基于2012-2020年中国家庭追踪调查(CFPS)5期面板数据,采用双重机器学习方法分析农村电子商务发展对宏观层面的林区各村庄内部所有林农家庭收入差距以及微观层面的各村庄内部单个林农家庭之间收入差距的影响及其作用机制,进而回答农村电子商务发展对实现共同富裕的作用。[结果]1)农村电子商务发展能够显著缩小林区各村庄内部所有林农家庭年收入的基尼系数和各村庄内部单个林农家庭之间的收入相对剥夺指数,即缩小林区内部收入差距,经过一系列稳健性检验后该结果仍然稳健。2)农村电子商务发展缩小林区内部收入差距主要通过显著提高低于40分位数和低于均值的低收入林农家庭的收入来实现,从而有利于促进共同富裕。3)促进林农家庭非农就业、提高林农家庭创业和增加林农家庭出售农产品价值是农村电子商务发展缩小林区内部收入差距的主要途径。4)农村电子商务发展对低技能水平、低社会资本和贫困线以下的林农家庭增收效应更大,表明农村电子商务发展具有很好的包容性。[结论]通过大型微观数据库的实证研究,验证农村电子商务作为数字经济的重要表现形式在林区发挥了公平与效率之间的平衡效应。在数字经济发展浪潮下,本研究不仅提供了农村电子商务在缩小林区内部收入差距方面的新经验证据,还为推动共同富裕提供了重要政策启示。【Objective】In the process of realizing a Chinese-style modernization with shared prosperity for all citizens,this study examines the impact and mechanisms of rural e-commerce development on income gap and shared prosperity in forested areas.It aims to provide valuable insights for reducing income gap within rural communities,achieving an organic unity of efficiency and equity,and promoting shared prosperity.【Method】The study treats the“comprehensive demonstration policy of e-commerce into rural areas”as a quasi-natural experiment for the development of rural e-commerce and utilizes five waves of panel data from the China family panel studies(CFPS)spanning from 2012 to 2020.It employs a supervised double machine learning method to analyze the impact and mechanisms of rural e-commerce development on both the macro-level village-level intra-regional income gap among all forest farmer households within each forested village and the micro-level intra-regional income gap among individual forest farmer households within each village,which can help to answer the question of how rural e-commerce development contributes to shared prosperity.【Result】1)Rural e-commerce development significantly reduces the gini coefficient of annual income for all forest farmer households within each forested villages and the relative deprivation index among individual forest farmer households within each forested village,implying that rural e-commerce can effectively lower income gap within forested areas.These results remain robust after a series of sensitivity tests.2)The reduction of income gap within forested areas due to rural e-commerce development is primarily achieved by substantially increasing the income of low-income forest farmer households that below the 40th percentile and below the mean income,thereby promoting shared prosperity.3)The promotion of non-agricultural employment among forest farmer households,the enhancement of entrepreneurial activities among forest farmer households,and the increase in the value

关 键 词：农村电子商务发展 共同富裕 收入差距 双重机器学习模型 

分 类 号：S7-9[农业科学—林学] F320[经济管理—产业经济]