邹月晴,陈媛媛,宋扬

• 1:上海财经大学经济学院
• 2:上海财经大学高等研究院

摘要(Abstract)：

本文基于流动人口动态监测调查数据、2015年1%人口抽样调查数据、劳动力动态调查数据和腾讯研究院“互联网+”数字经济指数，侧重于互联网平台发展的视角，讨论户籍地数字经济发展对劳动力回流的影响。实证发现：(1)户籍地数字经济发展提升了流动人口的返乡意愿和实际返乡的概率，并且减少了本地人员实际外出务工；(2)家乡良好的就业创业环境、更加适配的工作机会和收入增加是户籍地数字经济发展吸引流动人口返乡的主要原因；(3)异质性分析显示，户籍地数字经济发展对技能水平较低、流入城市生活成本和公共服务门槛较高、流动机会成本较高的流动人口回流的吸引力更大。本文有助于探寻数字经济赋能共同富裕背景下中国劳动力流动的新规律。

关键词(KeyWords)： 数字经济;互联网平台;劳动力回流;返乡意愿;流动人口

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金重点项目（72034006）;国家自然科学基金面上项目（72273081、71773074）;; 上海财经大学研究生创新基金（CXJJ-2022-317、CXJJ-2022-323）的资助

作者(Author): 邹月晴,陈媛媛,宋扬

DOI: 10.16513/j.cnki.cje.20230222.001

参考文献(References)：

• 柏培文，张云.2021.数字经济、人口红利下降与中低技能劳动者权益[J].经济研究，56(5):91-108.Bai P W,Zhang Y.2021.Digital economy,declining demographic dividends and the rights and interests of low- and medium-skilled labor[J].Economic Research Journal,56(5):91-108.(in Chinese)
• 陈媛媛，张竞，周亚虹.2022.工业机器人与劳动力的空间配置[J].经济研究，57(1):172-188.Chen Y Y,Zhang J,Zhou Y H.2022.Industrial robots and spatial allocation of labor[J].Economic Research Journal,57(1):172-188.(in Chinese)
• 段成荣，杨舸.2009.中国流动人口状况——基于2005年全国1%人口抽样调查数据的分析[J].南京人口管理干部学院学报，25(4):5-9,15.Duan C R,Yang K.2009.On China's floating population:Based on the analysis of 1% national population sample survey 2005[J].Journal of Nanjing College for Population Programme Management,25(4):5-9,15.(in Chinese)
• 黄益平，黄卓.2018.中国的数字金融发展：现在与未来[J].经济学(季刊),17(4):1489-1502.Huang Y P,Huang Z.2018.The development of digital finance in China:Present and future[J].China Economic Quarterly,17(4):1489-1502.(in Chinese)
• 鞠雪楠，赵宣凯，孙宝文.2020.跨境电商平台克服了哪些贸易成本?——来自“敦煌网”数据的经验证据[J].经济研究，55(2):181-196.Ju X N,Zhao X K,Sun B W.2020.Internet and trade costs:An empirical analysis based on cross-border e-commerce data from China SME exports[J].Economic Research Journal,55(2):181-196.(in Chinese)
• 李芳华，姬晨阳.2022.乡村振兴视角下的农村劳动力回流弹性估计——基于空间断点回归的研究[J].中国农村经济，(2):36-55.Li F H,Ji C Y.2022.Estimation of return elasticity of rural labor force from the perspective of rural revitalization:Evidence based on spatial discontinuity design[J].Chinese Rural Economy,(2):36-55.(in Chinese)
• 李仲达，林建浩，邓虹.2021.跨越省际移民中的文化壁垒：信息沟通与身份认同[J].经济学(季刊),21(5):1691-1710.Li Z D,Lin J H,Deng H.2021.Beyond cultural barriers in interprovincial migration:Information communication and identity recognition[J].China Economic Quarterly,21(5):1691-1710.(in Chinese)
• 刘导波，张思麒.2022.数字经济赋能居民消费：理论机制与微观证据[J].消费经济，38(1):72-82.Liu D B,Zhang S Q.2022.The digital economy promotes the consumption of residents:Theoretical mechanism and micro evidence[J].Consumer Economics,38(1):72-82.(in Chinese)
• 罗汉堂.2020.新普惠经济：数字技术如何推动普惠性增长[M].北京：中信出版社.Luo H T.2020.Digital technology and inclusive growth[M].Beijing:China Citic Press.(in Chinese)
• 马述忠，胡增玺.2022.数字金融是否影响劳动力流动?——基于中国流动人口的微观视角[J].经济学(季刊),22(1):303-322.Ma S Z,Hu Z X.2022.Does digital finance affects labor mobility?Based on the micro perspective of China's floating population[J].China Economic Quarterly,22(1):303-322.(in Chinese)
• 牛建林.2015.城市“用工荒”背景下流动人口的返乡决策与人力资本的关系研究[J].人口研究，39(2):17-31.Niu J L.2015.Human capital and returning decision of migrant workers in the era of emerging urban labor shortage[J].Population Research,39(2):17-31.(in Chinese)
• 邱子迅，周亚虹.2021a.数字经济发展与地区全要素生产率——基于国家级大数据综合试验区的分析[J].财经研究，47(7):4-17.Qiu Z X,Zhou Y H.2021a.Development of digital economy and regional total factor productivity:An analysis based on national big data comprehensive pilot zone[J].Journal of Finance and Economics,47(7):4-17.(in Chinese)
• 邱子迅，周亚虹.2021b.电子商务对农村家庭增收作用的机制分析——基于需求与供给有效对接的微观检验[J].中国农村经济，(4):36-52.Qiu Z X,Zhou Y H.2021b.The mechanism of the role of e-commerce in increasing rural household income:An analysis based on a micro empirical test of the interaction between demand and supply[J].Chinese Rural Economy,(4):36-52.(in Chinese)
• 孙伟增，张晓楠，郑思齐.2019.空气污染与劳动力的空间流动——基于流动人口就业选址行为的研究[J].经济研究，54(11):102-117.Sun W Z,Zhang X N,Zheng S Q.2019.Air pollution and spatial mobility of labor force:Study on the migrants' job location choice[J].Economic Research Journal,54(11):102-117.(in Chinese)
• 王子成，赵忠.2013.农民工迁移模式的动态选择：外出、回流还是再迁移[J].管理世界，(1):78-88.Wang Z C,Zhao Z.2013.Dynamic choice of migrant workers' migration patterns:Go out,return or remigration[J].Journal of Management World,(1):78-88.(in Chinese)
• 吴贾，张俊森.2020.随迁子女入学限制、儿童留守与城市劳动力供给[J].经济研究，55(11):138-155.Wu J,Zhang J S.2020.Barriers to school education for migrant children,being left behind and urban labor supply[J].Economic Research Journal,55(11):138-155.(in Chinese)
• 夏海波，刘耀彬，沈正兰.2021.网络基础设施建设对劳动力就业的影响——基于“本地-邻地”的视角[J].中国人口科学，(6):96-109,128.Xia H B,Liu Y B,Shen Z L.2021.The influence of network infrastructure construction on labor employment:Based on “local-neighborhood” perspective[J].Chinese Journal of Population Science,(6):96-109,128.(in Chinese)
• 夏怡然，陆铭.2015.城市间的“孟母三迁”——公共服务影响劳动力流向的经验研究[J].管理世界，(10):78-90.Xia Y R,Lu M.2015.Three relocations of “meng's mothers” between cities:An empirical study on the impact of public services on labor flow[J].Journal of Management World,(10):78-90.(in Chinese)
• 谢绚丽，沈艳，张皓星，等.2018.数字金融能促进创业吗?——来自中国的证据[J].经济学(季刊),17(4):1557-1580.Xie X L,Shen Y,Zhang H X,et al.2018.Can digital finance promote entrepreneurship?—Evidence from China[J].China Economic Quarterly,17(4):1557-1580.(in Chinese)
• 解永庆，缪杨兵，曹广忠.2014.农民工就业空间选择及留城意愿代际差异分析[J].城市发展研究，21(4):92-97.Xie Y Q,Miao Y B,Cao G Z.2014.The intra-generational diversity analysis of peasant-workers for employment spatial selection and desire of staying in cities[J].Urban Development Studies,21(4):92-97.(in Chinese)
• 杨云彦，徐映梅，向书坚.2003.就业替代与劳动力流动：一个新的分析框架[J].经济研究，(8):70-75,93.Yang Y Y,Xu Y M,Xiang S J.2003.Employment replacement and labor mobility:A new analysis framework[J].Economic Research Journal,(8):70-75,93.(in Chinese)
• 易行健，周利.2018.数字普惠金融发展是否显著影响了居民消费——来自中国家庭的微观证据[J].金融研究，(11):47-67.Yi X J,Zhou L.2018.Does digital financial inclusion significantly influence household consumption?Evidence from household survey data in China[J].Journal of Financial Research,(11):47-67.(in Chinese)
• 詹姆斯·J.赫克曼，艾伦·B.克鲁格.2020.美国的不平等：人力资本政策的角色[M].奚秀岩，译.北京：中国人民大学出版社.Heckman J J,Krueger A B.2020.Inequality in America:What role for human capital polices?[M].Beijing:ChinaRenmin University Press.(in Chinese)
• 张洪胜，潘钢健.2021.跨境电子商务与双边贸易成本：基于跨境电商政策的经验研究[J].经济研究，56(9):141-157.Zhang H S,Pan G J.2021.Cross-border e-commerce and bilateral trade costs:An empirical analysis based on cross-border e-commerce policy[J].Economic Research Journal,56(9):141-157.(in Chinese)
• 张吉鹏，卢冲.2019.户籍制度改革与城市落户门槛的量化分析[J].经济学(季刊),18(4):1509-1530.Zhang J P,Lu C.2019.A quantitative analysis on the reform of household registration in Chinese cities[J].China Economic Quarterly,18(4):1509-1530.(in Chinese)
• 张吉鹏，黄金，王军辉，等.2020.城市落户门槛与劳动力回流[J].经济研究，55(7):175-190.
• Zhang J P,Huang J,Wang J H,et al.2020.Return migration and the hukou registration reform in Chinese cities[J].Economic Research Journal,55(7):175-190.(in Chinese)
• 张文武，余泳泽.2021.城市服务多样性与劳动力流动——基于“美团网”大数据和流动人口微观调查的分析[J].金融研究，(9):91-110.Zhang W W,Yu Y Z.2021.Urban service diversity and labor mobility:An analysis based on big data of meituan and a micro survey of a floating population[J].Journal of Financial Research,(9):91-110.(in Chinese)
• 张勋，万广华，张佳佳，等.2019.数字经济、普惠金融与包容性增长[J].经济研究，54(8):71-86.Zhang X,Wan G H,Zhang J J,et al.2019.Digital economy,financial inclusion,and inclusive growth[J].Economic Research Journal,54(8):71-86.(in Chinese)
• 张勋，杨桐，汪晨，等.2020.数字金融发展与居民消费增长：理论与中国实践[J].管理世界，36(11):48-62.Zhang X,Yang T,Wang C,et al.2020.Digital finance and household consumption:Theory and evidence from China[J].Journal of Management World,36(11):48-62.(in Chinese)
• 张勋，万广华，吴海涛.2021.缩小数字鸿沟：中国特色数字金融发展[J].中国社会科学，(8):35-51.Zhang X,Wan G H,Wu H T.2021.Narrowing the digital divide:The development of digital finance with Chinese characteristics[J].Social Sciences in China,(8):35-51.(in Chinese)
• 赵涛，张智，梁上坤.2020.数字经济、创业活跃度与高质量发展——来自中国城市的经验证据[J].管理世界，36(10):65-75.Zhao T,Zhang Z,Liang S K.2020.Digital economy,entrepreneurship,and high-quality economic development:Empirical evidence from urban China[J].Journal of Management World,36(10):65-75.(in Chinese)
• 赵耀辉.1997.中国农村劳动力流动及教育在其中的作用——以四川省为基础的研究[J].经济研究，(2):37-42,73.Zhao Y H.1997.China's rural labor mobility and the role of education in it:A study based on Sichuan province[J].Economic Research Journal,(2):37-42,73.(in Chinese)
• 周颖刚，蒙莉娜，卢琪.2019.高房价挤出了谁?——基于中国流动人口的微观视角[J].经济研究，54(9):106-122.Zhou Y G,Meng L N,Lu Q.2019.Who is crowded out by high housing prices?Evidence from microdata in China[J].Economic Research Journal,54(9):106-122.(in Chinese)
• Acemoglu D,Autor D.2011.Skills,tasks and technologies:Implications for employment and earnings[C]//Card D,Ashenfelter O.Handbook of Labor Economics.Amsterdam:Elsevier,4:1043-1171.
• Acemoglu D,Restrepo P.2018a.Low-skill and high-skill automation[J].Journal of Human Capital,12(2):204-232.
• Acemoglu D,Restrepo P.2018b.The race between man and machine:Implications of technology for growth,factor shares,and employment[J].American Economic Review,108(6):1488-1542.
• Acemoglu D,Restrepo P.2020.Robots and jobs:Evidence from US labor markets[J].Journal of Political Economy,128(6):2188-2244.
• Agrawal A,Catalini C,Goldfarb A,et al.2018.Slack time and innovation[J].Organization Science,29(6):1056-1073.
• Arrow K J.1962.The economic implications of learning by doing[J].The Review of Economic Studies,29(3):155-173.
• Barrios J M,Hochberg Y V,Yi H Y.2022.Launching with a parachute:The gig economy and new business formation[J].Journal of Financial Economics,144(1):22-43.
• Bogue D J.1959.Internal migration[C]//Hauser P M,Duncan O D.Study of Population:An Inventory and Appraisal.Chicago:University of Chicago Press,486-543.
• Brynjolfsson E,Rock D,Syverson C.2019.Artificial intelligence and the modern productivity paradox[C]//Agrawal A K,Gans J,Goldfarb A.The Economics of Artificial Intelligence:An Agenda.Chicago:University of Chicago Press,23-57.
• Carballo J,Chatruc M R,Santa C S,et al.2022.Online business platforms and international trade[J].Journal of International Economics,137:103599.
• Chen M X,Wu M.2021.The value of reputation in trade:Evidence from Alibaba[J].The Review of Economics and Statistics,103(5):857-873.
• Conley T G,Hansen C B,Rossi P E.2012.Plausibly exogenous[J].The Review of Economics and Statistics,94(1):260-272.
• Couture V,Faber B,Gu Y Z,et al.2021.Connecting the countryside via e-commerce:Evidence from China[J].American Economic Review:Insights,3(1):35-50.
• Démurger S,Xu H.2015.Left-behind children and return migration in China[J].IZA Journal of Migration,4(1):10.
• Diamond R.2016.The determinants and welfare implications of US workers' diverging location choices by skill:1980—2000[J].American Economic Review,106(3):479-524.
• Faber M.2020.Robots and reshoring:Evidence from Mexican labor markets[J].Journal of International Economics,127:103384.
• Frey C B,Osborne M A.2017.The future of employment:How susceptible are jobs to computerisation?[J].Technological Forecasting and Social Change,114:254-280.
• Graetz G,Michaels G.2017.Is modern technology responsible for jobless recoveries?[J].American Economic Review,107(5):168-173.
• Graetz G,Michaels G.2018.Robots at work[J].The Review of Economics and Statistics,100(5):753-768.
• Graham M,Hjorth I,Lehdonvirta V.2017.Digital labour and development:Impacts of global digital labour platforms and the gig economy on worker livelihoods[J].Transfer:European Review of Labour and Research,23(2):135-162.
• Hassan A,Juhdi N,Ali S A.2019.Job quality,affective commitment and intention to migrate:A study of ICT employees in Malaysia[J].International Journal of Human Potentials Management,1(1).
• Hau H,Huang Y,Lin C,et al.2021.FinTech credit and entrepreneurial growth[R].Swiss Finance Institute Research Paper No.21-47.
• Huang N,Burtch G,Hong Y L,et al.2020.Unemployment and worker participation in the gig economy:Evidence from an online labor market[J].Information Systems Research,31(2):431-448.
• Kawashima K.2017.Service outsourcing and labour mobility in a digital age:Transnational linkages between Japan and Dalian,China[J].Global Networks,17(4):483-499.
• Lee E S.1966.A theory of migration[J].Demography,3(1):47-57.
• Lewbel A.2012.Using heteroscedasticity to identify and estimate mismeasured and endogenous regressor models[J].Journal of Business & Economic Statistics,30(1):67-80.
• Lewis W A.1954.Economic development with unlimited supplies of labour[J].The Manchester School,22(2):139-191.
• Mulcahy D.2016.The gig economy:The complete guide to getting better work,taking more time off,and financing the life you want[M].New York:Amacom.
• Oster E.2019.Unobservable selection and coefficient stability:Theory and evidence[J].Journal of Business & Economic Statistics,37(2):187-204.
• Sjaastad L A.1962.The costs and returns of human migration[J].Journal of Political Economy,70(5,Part 2):80-93.
• Verdugo R R,Verdugo N T.1989.The impact of surplus schooling on earnings:Some additional findings[J].Journal of Human Resources,24(4):629-643.
• Wheeler L,Garlick R,Johnson E,et al.2022.LinkedIn (to) job opportunities:Experimental evidence from job readiness training[J].American Economic Journal:Applied Economics,14(2):101-125.
• Xie M M,Ding L,Xia Y,et al.2021.Does artificial intelligence affect the pattern of skill demand?Evidence from Chinese manufacturing firms[J].Economic Modelling,96:295-309.
• (1)如果不控制流入城市固定效应,逐步加入流入城市特征变量,结果保持稳健。
• (2)在置信区间集合法(UCI)中,根据内生变量和工具变量对结果变量的回归,我们设定两个工具变量对结果变量的回归系数γ的最小值为-0.015,同时对称取γ的最大值为0.015。在近似于零方法(LTZ)中,我们假设两个工具变量的γ服从-0.015到0.015上的均匀分布。
• (3)使用CLDS2016年数据的原因是,腾讯研究院仅公开发布2014年到2018年城市层面的“互联网+”数字经济指数,因此不能使用CLDS2014及以前的调查数据,同时CLDS2018年数据中并没有公开样本所在城市的区划代码,无法合并城市层面的数字经济指数。
• (4)落户门槛数据来自于西南财经大学经济与管理研究院公共经济与行为研究平台和中国家庭金融调查与研究中心联合公布的中国城市落户门槛指数,网址为https://chfs.swufe.edu.cn/info/1009/1286.htm。