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The spatial impact of high-speed rail on firm performance: The role of proximity to urban cores

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  • Kuang, Chun
  • Wei, Mengying
  • Zhu, Wenyu

Abstract

This paper examines the spatial impact of high-speed rail (HSR) connection on firm performance in China at the micro level using a unique administrative dataset. Connected firms benefit from agglomeration economies and improved market access, but the redistribution of production inputs towards urban cores may have a negative impact on firms in peripheral regions. If these opposing forces are both subject to spatial decay but at different rates, proximity to urban cores could play a crucial role in determining the overall effects of HSR connection on firms. We find that connected firms located farther from urban cores benefit the most, indicating a steeper spatial decay in the redistribution effect relative to the agglomeration effect. This research enhances our understanding of the micro-level spatial impact of HSR on regional development.

Suggested Citation

  • Kuang, Chun & Wei, Mengying & Zhu, Wenyu, 2023. "The spatial impact of high-speed rail on firm performance: The role of proximity to urban cores," Economics Letters, Elsevier, vol. 231(C).
    • Handle: RePEc:eee:ecolet:v:231:y:2023:i:c:s0165176523002963
    DOI: 10.1016/j.econlet.2023.111271
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    References listed on IDEAS

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    1. 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.
    2. 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.
    3. Kuang, Chun & Liu, Zijie & Zhu, Wenyu, 2021. "Need for speed: High-speed rail and firm performance," Journal of Corporate Finance, Elsevier, vol. 66(C).
    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. Yatang Lin & Yu Qin & Johan Sulaeman & Jubo Yan & Jialiang Zhang, 2023. "Expanding Footprints: The Impact of Passenger Transportation on Corporate Locations," Review of Finance, European Finance Association, vol. 27(3), pages 1119-1154.
    6. 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.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    High-speed rail; Firm performance; Regional development;
    All these keywords.

    JEL classification:

    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • R38 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Government Policy

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