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The distributional impacts of high speed rail: Evidence from China

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  • Li, Xiaolu
  • Tang, Yang

Abstract

This paper develops a spatial general equilibrium framework to study the distributional impacts of high-speed rail (HSR) construction. HSR does not directly lower the trade costs but lowers the travel costs among cities. This encourages firms to gain larger market share in the destination city, and export to more distant markets. We estimate the matrix of travel costs among 279 prefectural-level Chinese cities by taking into account the real world geography. The model is calibrated to the Chinese economy to match stylized facts since 2005. We show that the improvements of passenger networks lead to higher inter-regional trade and increase the total real income by 3:07 percent. The cities unconnected to HSR are also found to enjoy income gain from the HSR construction. HSR construction directs more people to work in the inland region. Both labor mobility and international trade serve to amplify the income growth from HSR construction.

Suggested Citation

  • Li, Xiaolu & Tang, Yang, 2024. "The distributional impacts of high speed rail: Evidence from China," Economic Modelling, Elsevier, vol. 132(C).
  • Handle: RePEc:eee:ecmode:v:132:y:2024:i:c:s0264999323004522
    DOI: 10.1016/j.econmod.2023.106640
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    References listed on IDEAS

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    1. Xavier Gabaix & Augustin Landier, 2008. "Why has CEO Pay Increased So Much?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 123(1), pages 49-100.
    2. Jonathan Eaton & Samuel Kortum & Francis Kramarz, 2011. "An Anatomy of International Trade: Evidence From French Firms," Econometrica, Econometric Society, vol. 79(5), pages 1453-1498, September.
    3. Michael Storper & Anthony J. Venables, 2004. "Buzz: face-to-face contact and the urban economy," Journal of Economic Geography, Oxford University Press, vol. 4(4), pages 351-370, August.
    4. Wolfgang Keller & Stephen Ross Yeaple, 2013. "The Gravity of Knowledge," American Economic Review, American Economic Association, vol. 103(4), pages 1414-1444, June.
    5. Fabian Eckert, 2019. "Growing Apart: Tradable Services and the Fragmentation of the U.S. Economy," 2019 Meeting Papers 307, Society for Economic Dynamics.
    6. Treb Allen, 2014. "Information Frictions in Trade," Econometrica, Econometric Society, vol. 82, pages 2041-2083, November.
    7. 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.
    8. Banerjee, Abhijit & Duflo, Esther & Qian, Nancy, 2020. "On the road: Access to transportation infrastructure and economic growth in China," Journal of Development Economics, Elsevier, vol. 145(C).
    9. 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.
    10. Ma, Lin & Tang, Yang, 2020. "Geography, trade, and internal migration in China," Journal of Urban Economics, Elsevier, vol. 115(C).
    11. Costas Arkolakis, 2010. "Market Penetration Costs and the New Consumers Margin in International Trade," Journal of Political Economy, University of Chicago Press, vol. 118(6), pages 1151-1199.
    12. 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.
    13. Bai, Chong-En & Qian, Yingyi, 2010. "Infrastructure development in China: The cases of electricity, highways, and railways," Journal of Comparative Economics, Elsevier, vol. 38(1), pages 34-51, March.
    14. Cristea, Anca D., 2011. "Buyer-seller relationships in international trade: Evidence from U.S. States' exports and business-class travel," Journal of International Economics, Elsevier, vol. 84(2), pages 207-220, July.
    15. 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 rail; Regional trade; Economic geography;
    All these keywords.

    JEL classification:

    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • R13 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General Equilibrium and Welfare Economic Analysis of Regional Economies
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

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