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Impact of high-speed rail on the mismatch of labor and industry allocations: Evidence from Chinese cities in 2000-2019

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  • Fang, Jing
  • Fu, Fanjie
  • Zhang, Xiaoqian
  • Yao, Shujie
  • Ou, Jinghua

Abstract

The uneven development of China can be reflected by the mismatch of labor and industry distributions (MLIS) in terms of spatial structure. Industries usually agglomerate in large cities where a strict household registration system causing high barriers with respect to population and labor entry. Infrastructures that reduce the cost of labor and technology mobility, as represented by high-speed rail (HSR), are possible improvement to regulate such distortions as the two agglomerated into opposite directions. This paper focuses on the impact of HSR on MLIS using a large panel dataset comprising 285 Chinese cities in 2000–2019. A difference-in-difference analysis is introduced to carried out empirical analyses. This paper finds that HSR can significantly mitigate the MLIS in prefecture level cities, but not in cities above prefecture level. The heterogeneous effects of HSR are then discussed with respect to industries and MLIS types. Further mechanism tests show that HSR’s mitigating effect on MLIS comes from the employment effect and the innovation effect. Finally, policy recommendations are provided on HSR investment to improve China's uneven development from the perspective of synergy labor and industry distributions.

Suggested Citation

  • Fang, Jing & Fu, Fanjie & Zhang, Xiaoqian & Yao, Shujie & Ou, Jinghua, 2024. "Impact of high-speed rail on the mismatch of labor and industry allocations: Evidence from Chinese cities in 2000-2019," Journal of Asian Economics, Elsevier, vol. 92(C).
  • Handle: RePEc:eee:asieco:v:92:y:2024:i:c:s1049007824000393
    DOI: 10.1016/j.asieco.2024.101744
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    as
    1. Dong, Xiaofang & Zheng, Siqi & Kahn, Matthew E., 2020. "The role of transportation speed in facilitating high skilled teamwork across cities," Journal of Urban Economics, Elsevier, vol. 115(C).
    2. Wan, Yulai & Ha, Hun-Koo & Yoshida, Yuichiro & Zhang, Anming, 2016. "Airlines’ reaction to high-speed rail entries: Empirical study of the Northeast Asian market," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 532-557.
    3. Clément de Chaisemartin & Xavier D'Haultfœuille, 2020. "Two-Way Fixed Effects Estimators with Heterogeneous Treatment Effects," American Economic Review, American Economic Association, vol. 110(9), pages 2964-2996, September.
    4. Dong, Lei & Du, Rui & Kahn, Matthew & Ratti, Carlo & Zheng, Siqi, 2021. "“Ghost cities” versus boom towns: Do China's high-speed rail new towns thrive?," Regional Science and Urban Economics, Elsevier, vol. 89(C).
    5. Barro, Robert J, 1990. "Government Spending in a Simple Model of Endogenous Growth," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 103-126, October.
    6. Daniel F Heuermann & Johannes F Schmieder, 2019. "The effect of infrastructure on worker mobility: evidence from high-speed rail expansion in Germany," Journal of Economic Geography, Oxford University Press, vol. 19(2), pages 335-372.
    7. Gabriel M Ahlfeldt & Arne Feddersen, 2018. "From periphery to core: measuring agglomeration effects using high-speed rail," Journal of Economic Geography, Oxford University Press, vol. 18(2), pages 355-390.
    8. Liu, Xueli & Jiang, Chunxia & Wang, Feng & Yao, Shujie, 2021. "The impact of high-speed railway on urban housing prices in China: A network accessibility perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 152(C), pages 84-99.
    9. Gao, Yanyan & Zheng, Jianghuai, 2020. "The impact of high-speed rail on innovation: An empirical test of the companion innovation hypothesis of transportation improvement with China’s manufacturing firms," World Development, Elsevier, vol. 127(C).
    10. Robert J. Barro & Xavier Sala-I-Martin, 1992. "Public Finance in Models of Economic Growth," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 59(4), pages 645-661.
    11. Shujie Yao & Fan Zhang & Feng Wang & Jinghua Ou, 2019. "Regional economic growth and the role of high-speed rail in China," Applied Economics, Taylor & Francis Journals, vol. 51(32), pages 3465-3479, July.
    12. Bairoliya, Neha & Miller, Ray, 2021. "Social insurance, demographics, and rural-urban migration in China," Regional Science and Urban Economics, Elsevier, vol. 91(C).
    13. Zhan, Peng & Ma, Xinxin & Li, Shi, 2021. "Migration, population aging, and income inequality in China," Journal of Asian Economics, Elsevier, vol. 76(C).
    14. Feng, Qiyun & Chen, Zhenhua & Cheng, Chuanchao & Chang, Haiqing, 2023. "Impact of high-speed rail on high-skilled labor mobility in China," Transport Policy, Elsevier, vol. 133(C), pages 64-74.
    15. Tian, Meng & Wang, Yiwei & Wang, Yiran, 2023. "High-speed rail network and urban agglomeration economies: Research from the perspective of urban network externalities," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    16. Wang, Yunmin & Cao, Guohua & Yan, Youliang & Wang, Jingjing, 2022. "Does high-speed rail stimulate cross-city technological innovation collaboration? Evidence from China," Transport Policy, Elsevier, vol. 116(C), pages 119-131.
    17. Yuan, Xiaodong & Li, Xiaotao, 2021. "The evolution of the industrial value chain in China's high-speed rail driven by innovation policies: A patent analysis," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    18. Spiros Bougheas & Panicos O. Demetriades & Theofanis P. Mamuneas, 2000. "Infrastructure, specialization, and economic growth," Canadian Journal of Economics, Canadian Economics Association, vol. 33(2), pages 506-522, May.
    19. Zhang, Fangni & Graham, Daniel J. & Wong, Mark Siu Chun, 2018. "Quantifying the substitutability and complementarity between high-speed rail and air transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 191-215.
    20. Mary G. Finn, 1993. "Is all government capital productive?," Economic Quarterly, Federal Reserve Bank of Richmond, issue Fall, pages 53-80.
    21. Diao, Mi, 2018. "Does growth follow the rail? The potential impact of high-speed rail on the economic geography of China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 279-290.
    22. G. Duggal, Vijaya & Saltzman, Cynthia & Klein, Lawrence R., 1999. "Infrastructure and productivity: a nonlinear approach," Journal of Econometrics, Elsevier, vol. 92(1), pages 47-74, September.
    23. Zhou, Zhengyi & Zhang, Anming, 2021. "High-speed rail and industrial developments: Evidence from house prices and city-level GDP in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 149(C), pages 98-113.
    24. Niu, Fangqu & Xin, Zhongling & Sun, Dongqi, 2021. "Urban land use effects of high-speed railway network in China: A spatial spillover perspective," Land Use Policy, Elsevier, vol. 105(C).
    25. Shioji, Etsuro, 2001. "Public Capital and Economic Growth: A Convergence Approach," Journal of Economic Growth, Springer, vol. 6(3), pages 205-227, September.
    26. Wang, Feng & Wei, Xianjin & Liu, Juan & He, Lingyun & Gao, Mengnan, 2019. "Impact of high-speed rail on population mobility and urbanisation: A case study on Yangtze River Delta urban agglomeration, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 127(C), pages 99-114.
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    More about this item

    Keywords

    High-speed rail; Labor force; Labor share; Industry share; Difference-in-difference;
    All these keywords.

    JEL classification:

    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • L92 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Railroads and Other Surface Transportation
    • N75 - Economic History - - Economic History: Transport, International and Domestic Trade, Energy, and Other Services - - - Asia including Middle East

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