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The Impact of High-Speed Rail on Labor Spatial Misallocation– Based on Spatial Difference-in-Differences Analysis

Author

Listed:
  • Linnan Yan
  • Menger Tu
  • Andre Luis Squarize Chagas
  • Lufeng Tai

Abstract

Existing studies neglected to assess the resource allocation effect of high-speed railway (HSR). This paper examines the impact of HSR on labor spatial misallocation in China by applying a modifified spatial difference-in-differences approach, which identify local treatment effect, spillover effect on treated and untreated regions. The study fifinds: (1) Opening HSR alleviates not only the local labor misallocation but also the misallocation in surrounding areas to a greater extent, including cities with HSR (treatment group) and without HSR (control group), which contributes to the overall productivity increase. The spillover effect of HSR is larger than the direct effect. (2) The largest spillover effect occurs in adjacent areas near 350 km apart, while the spillover effect disappears beyond 500 km. (3) The direction and magnitude of HSR effect depend on the urban scale. For large-scale cities, the impact of opening HSR is greater versus small-scale ones.

Suggested Citation

  • Linnan Yan & Menger Tu & Andre Luis Squarize Chagas & Lufeng Tai, 2022. "The Impact of High-Speed Rail on Labor Spatial Misallocation– Based on Spatial Difference-in-Differences Analysis," Working Papers, Department of Economics 2022_19, University of São Paulo (FEA-USP).
  • Handle: RePEc:spa:wpaper:2022wpecon19
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    References listed on IDEAS

    as
    1. Bartelsman, Eric & Dobbelaere, Sabien & Peters, Bettina, 2013. "Allocation of Human Capital and Innovation at the Frontier: Firm-Level Evidence on Germany and the Netherlands," IZA Discussion Papers 7540, Institute of Labor Economics (IZA).
    2. Chen, Zhenhua & Xue, Junbo & Rose, Adam Z. & Haynes, Kingsley E., 2016. "The impact of high-speed rail investment on economic and environmental change in China: A dynamic CGE analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 92(C), pages 232-245.
    3. Chang-Tai Hsieh & Enrico Moretti, 2019. "Housing Constraints and Spatial Misallocation," American Economic Journal: Macroeconomics, American Economic Association, vol. 11(2), pages 1-39, April.
    4. Yu Qin, 2017. "‘No county left behind?’ The distributional impact of high-speed rail upgrades in China," Journal of Economic Geography, Oxford University Press, vol. 17(3), pages 489-520.
    5. Delgado, Michael S. & Florax, Raymond J.G.M., 2015. "Difference-in-differences techniques for spatial data: Local autocorrelation and spatial interaction," Economics Letters, Elsevier, vol. 137(C), pages 123-126.
    6. Vickerman, Roger, 2015. "High-speed rail and regional development: the case of intermediate stations," Journal of Transport Geography, Elsevier, vol. 42(C), pages 157-165.
    7. Krugman, Paul, 1991. "Increasing Returns and Economic Geography," Journal of Political Economy, University of Chicago Press, vol. 99(3), pages 483-499, June.
    8. Andrew B. Bernard & Andreas Moxnes & Yukiko U. Saito, 2019. "Production Networks, Geography, and Firm Performance," Journal of Political Economy, University of Chicago Press, vol. 127(2), pages 639-688.
    9. Chagas, André L.S. & Azzoni, Carlos R. & Almeida, Alexandre N., 2016. "A spatial difference-in-differences analysis of the impact of sugarcane production on respiratory diseases," Regional Science and Urban Economics, Elsevier, vol. 59(C), pages 24-36.
    10. Remi Jedwab & Alexander Moradi, 2016. "The Permanent Effects of Transportation Revolutions in Poor Countries: Evidence from Africa," The Review of Economics and Statistics, MIT Press, vol. 98(2), pages 268-284, May.
    11. Nathaniel Baum-Snow & Loren Brandt & J. Vernon Henderson & Matthew A. Turner & Qinghua Zhang, 2017. "Roads, Railroads, and Decentralization of Chinese Cities," The Review of Economics and Statistics, MIT Press, vol. 99(3), pages 435-448, July.
    12. Benjamin Moll, 2014. "Productivity Losses from Financial Frictions: Can Self-Financing Undo Capital Misallocation?," American Economic Review, American Economic Association, vol. 104(10), pages 3186-3221, October.
    13. Xiaofang Dong & Siqi Zheng & Matthew E. Kahn, 2018. "The Role of Transportation Speed in Facilitating High Skilled Teamwork," NBER Working Papers 24539, National Bureau of Economic Research, Inc.
    14. Olley, G Steven & Pakes, Ariel, 1996. "The Dynamics of Productivity in the Telecommunications Equipment Industry," Econometrica, Econometric Society, vol. 64(6), pages 1263-1297, November.
    15. Chang-Tai Hsieh & Peter J. Klenow, 2009. "Misallocation and Manufacturing TFP in China and India," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(4), pages 1403-1448.
    16. Aoki, Shuhei, 2012. "A simple accounting framework for the effect of resource misallocation on aggregate productivity," Journal of the Japanese and International Economies, Elsevier, vol. 26(4), pages 473-494.
    17. Kim, Hyojin & Sultana, Selima, 2015. "The impacts of high-speed rail extensions on accessibility and spatial equity changes in South Korea from 2004 to 2018," Journal of Transport Geography, Elsevier, vol. 45(C), pages 48-61.
    18. Moshe Givoni, 2006. "Development and Impact of the Modern High‐speed Train: A Review," Transport Reviews, Taylor & Francis Journals, vol. 26(5), pages 593-611, January.
    19. Benjamin Faber, 2014. "Trade Integration, Market Size, and Industrialization: Evidence from China's National Trunk Highway System," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(3), pages 1046-1070.
    20. Komei Sasaki & Tadahiro Ohashi & Asao Ando, 1997. "High-speed rail transit impact on regional systems: does the Shinkansen contribute to dispersion?," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 31(1), pages 77-98.
    21. Anselin, Luc & Bera, Anil K. & Florax, Raymond & Yoon, Mann J., 1996. "Simple diagnostic tests for spatial dependence," Regional Science and Urban Economics, Elsevier, vol. 26(1), pages 77-104, February.
    22. Abhijit V. Banerjee & Benjamin Moll, 2010. "Why Does Misallocation Persist?," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(1), pages 189-206, January.
    23. Piet Rietveld & Frank Bruinsma, 1998. "The Accessibility of Cities in European Infrastructure Networks," Advances in Spatial Science, in: Is Transport Infrastructure Effective?, chapter 5, pages 115-139, Springer.
    24. Fu, Shihe & Gu, Yizhen, 2017. "Highway toll and air pollution: Evidence from Chinese cities," Journal of Environmental Economics and Management, Elsevier, vol. 83(C), pages 32-49.
    25. Hodgson, Charles, 2018. "The effect of transport infrastructure on the location of economic activity: Railroads and post offices in the American West," Journal of Urban Economics, Elsevier, vol. 104(C), pages 59-76.
    26. Li, Pei & Lu, Yi & Wang, Jin, 2016. "Does flattening government improve economic performance? Evidence from China," Journal of Development Economics, Elsevier, vol. 123(C), pages 18-37.
    27. Solmaria Halleck Vega & J. Paul Elhorst, 2015. "The Slx Model," Journal of Regional Science, Wiley Blackwell, vol. 55(3), pages 339-363, June.
    28. Roberto Ramos & Manuel García-Santana & Jose Asturias, 2014. "Misallocation, Internal Trade, and the Role of Transportation Infrastructure," 2014 Meeting Papers 1035, Society for Economic Dynamics.
    29. Lin, Yatang, 2017. "Travel costs and urban specialization patterns: Evidence from China’s high speed railway system," Journal of Urban Economics, Elsevier, vol. 98(C), pages 98-123.
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    More about this item

    Keywords

    high-speed railway; spatial difference-in-differences; labor spatial;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods
    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General

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