互联网发展与制造业全要素生产率

摘要将互联网发展纳入制造业全要素生产率提升分析框架,利用中国285个城市2006—2019年面板数据,考察了互联网发展影响制造业全要素生产率的效应来源、阶段特征和作用机制。结果显示:互联网发展能够促进制造业全要素生产率提升,主要通过促进技术进步得以实现;分区域来看,中部地区的互联网发展红利最为显著,东部次之,西部最弱;当互联网发展水平跨越第二门槛值(0.0753)后才能对制造业全要素生产率发挥显著促进效应,至2019年仍有约20%的城市未达到该门槛值;互联网发展具有资源优化配置效应和知识溢出效应,可以通过优化产业结构和提升创新能力对制造业全要素生产率产生间接促进作用,但其规模经济效应尚不明显,未能通过降低成本间接促进制造业全要素生产率提升。

	Service

	把本文推荐给朋友
	加入我的书架
	加入引用管理器
	Email Alert
	RSS
	作者相关文章
	邓宗兵
	文江雪
	王炬

关键词：互联网发展制造业全要素生产率网络效应

Abstract： Based on the panel data of 285 cities in China from 2006 to 2019, this paper brings Internet development into the analysis framework of manufacturing total factor productivity improvement, and examines the effect sources, stage characteristics and mechanism of Internet development on manufacturing total factor productivity. There are following findings: Internet development can promote total factor productivity growth in manufacturing industry, mainly through promoting technological progress; The dividend of Internet development is the most significant in the central region, followed by the eastern region, and the weakest in the western region; Only when the level of Internet development exceeds the second threshold (0.0753) can it have a significant promoting effect on manufacturing total factor productivity, and about 20% of cities still fail to reach this threshold by 2019. The development of Internet has the effects of optimal allocation of resources and knowledge spillover. It indirectly promotes the total factor productivity of the manufacturing industry by optimizing the industrial structure and improving the ability of innovation. However, its economies of scale effect is not obvious, and it has failed to indirectly promote the total factor productivity of the manufacturing industry by reducing costs.

Keywords： Internet Development Manufacturing Industry Total Factor Productivity Network Effects

收稿日期 2022-02-01; 接受日期 ;

基金资助:国家社会科学基金项目(21BJL086);教育部人文社会科学研究规划基金项目(19YJA790005);西南大学中央高校基本科研业务费专项资金项目(SWU2009221)

作者简介: 邓宗兵(1969— ),男,安徽长丰人,教授,博士生导师,主要从事技术经济与区域经济研究;文江雪(1990— ),女,重庆云阳人,博士研究生,主要从事产业发展和生产效率研究;王炬(1970— ),女,四川隆昌人,博士,副研究员,主要从事区域经济研究。

引用本文:

邓宗兵, 文江雪, 王炬.互联网发展与制造业全要素生产率[J]. 经济经纬, 2023,2: 89-98

DENG Zongbing, WEN Jiangxue, WANG Ju.Internet Development And Total Factor Productivity Growth in Manufacturing Industry[J] Economic Survey, 2023,V40(2): 89-98

链接本文:

http://www.jjjw.org.cn/CN/ 或 http://www.jjjw.org.cn/CN/Y2023/V40/I2/89

陈海涛,李成明,董志勇,2021.经济转型中地方政府干预的门槛效应研究:基于全要素生产率的视角[J].宏观经济研究 (8):17-27.
杜传忠,杜新建,2017.第四次工业革命背景下全球价值链重构对我国的影响及对策[J].经济纵横 (4):116-121.
郭家堂,骆品亮,2016.互联网对中国全要素生产率有促进作用吗?[J].管理世界(10):34-49.
黄群慧,余泳泽,张松林,2019.互联网发展与制造业生产率提升:内在机制与中国经验[J].中国工业经济(8):5-23.
李廉水,鲍怡发,刘军,2020.智能化对中国制造业全要素生产率的影响研究[J].科学学研究 (4):36-45, 149.
李廉水,石喜爱,刘军,2019.中国制造业40年:智能化进程与展望[J].中国软科学 (1):1-9, 30.
李雪,吴福象,竺李乐,2022. 互联网发展水平、知识溢出与区域创新能力[J].经济经纬(3):15-25.
卢福财,刘林英,徐远彬,2021.互联网发展对工业绿色全要素生产率的影响研究[J].江西社会科学 (1):39-50.
罗仲伟,2021.制造业和服务业融合发展的机理和路径研究[J].重庆理工大学学报(社会科学)(11):1-10.
邱爱莲,崔日明,徐晓龙,2014.生产性服务贸易对中国制造业全要素生产率提升的影响:机理及实证研究[J].国际贸易问题 (6):71-80.
王可,李连燕,2018.“互联网+”对中国制造业发展影响的实证研究[J].数量经济技术经济研究 (6):4-21.
温忠麟, 张雷, 侯杰泰,2004.中介效应检验程序及其应用[J].心理学报(5):111-117.
杨德明, 刘泳文,2018.“互联网+”为什么加出了业绩[J].中国工业经济(5):80-98.
岳云嵩,李兵,2018.电子商务平台应用与中国制造业企业出口绩效[J].中国工业经济(8):97-115.
ARROW K J,1971. The economic implication of learning by doing[J].Readings in the theory of growth, 29(1):131-149.
CARLUCCIO J, CUNAT A, FADINGER H, 2019. Offshoring and skill-upgrading in French manufacturing: a Heckscher-Ohlin-Melitz view[J]. Social science electronic publishing,118(1):138-159.
FARE R, GROSSKOPF S, NORRIS M, 2014. Productivity growth, technical progress and efficiency change in industrialized countries[J]. American economic review, 84(1): 66-83.
FARRELL M J, 1957. The measurement of production efficiency[J]. Journal of the royal statistical society, 120(3):253-281.
HANSEN B, 1999. Threshold effects in non-dynamic panels: estimation, testing and inference[J].Journal of econometrics,93(2):345-368.
KATZ M L, SHAPIRO C,1985.Network externalities, competition and compatibility[J].American economic review,75(3):424-440.
PAUL M R,1986. Increasing returns and long-run growth[J].Journal of political economy,94(5):1002-1037.
REN S, HAO Y, XU L, et al, 2021. Digitalization and energy: how does internet development affect China’s energy consumption[J].Energy economics, 98(1):105-220.
SCHUMPETER J A, 1939. A theoretical, historical and statistical analysis of the capitalist process[M]. New York: McGraw-Hill book company.
WOOLDRIDGE J M, 2010. Econometric analysis of cross section and panel data[M]. Cambridge: The MIT Press.
YOUNG A, 2000. The razor’s edge: distortions and incremental reform in the People’s Republic of China[J]. Quarterly journal of economics, 115(4): 1091-1135.