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Study on the impact of the Beijing–Shanghai high-speed railway on regional economic equity based on economic performance

Author

Listed:
  • Heng Yang

    (Beijing Jiaotong University)

  • Qiong Tong

    (Beijing Jiaotong University)

  • Pan Zhao

    (Beijing Aolunda Agricultural Technology Development Co., Ltd)

Abstract

According to the panel data of stations along the Beijing–Shanghai high-speed railway (BSHR) from 2008 to 2018, the influence of BSHR on regional economy of cities along the line is analyzed, and the influence of the opening of the BSHR on regional economic equity of cities along the line, through constructing the difference-in-differences model. The research result shows that the opening of the BSHR greatly promotes the growth of the GDP per capita of the site cities along the line and the optimal allocation of resources, such as labor, information and technology, and accelerates the two-way flow of factors of production between big cities and small and medium-sized cities at stations along the high-speed railway, makes high-quality resources from small and medium-sized cities flow to big cities along the line, while some backward resources from big cities gradually tilt toward small- and medium-sized cities along the line. In short, the opening of BSHR promotes the economic growth of the cities along the line, shortens the economic gap between the cities, is conducive to realizing regional economic equity.

Suggested Citation

  • Heng Yang & Qiong Tong & Pan Zhao, 2022. "Study on the impact of the Beijing–Shanghai high-speed railway on regional economic equity based on economic performance," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 68(1), pages 229-253, February.
    • Handle: RePEc:spr:anresc:v:68:y:2022:i:1:d:10.1007_s00168-021-01077-8
    DOI: 10.1007/s00168-021-01077-8
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    References listed on IDEAS

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    1. Nikolaos Thomopoulos & Susan Grant-Muller, 2013. "Incorporating equity as part of the wider impacts in transport infrastructure assessment: an application of the SUMINI approach," Transportation, Springer, vol. 40(2), pages 315-345, February.
    2. Ortega, Emilio & López, Elena & Monzón, Andrés, 2012. "Territorial cohesion impacts of high-speed rail at different planning levels," Journal of Transport Geography, Elsevier, vol. 24(C), pages 130-141.
    3. Roger Vickerman, 1997. "High-speed rail in Europe: experience and issues for future development," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 31(1), pages 21-38.
    4. McDonald, John F. & Osuji, Clifford I., 1995. "The effect of anticipated transportation improvement on residential land values," Regional Science and Urban Economics, Elsevier, vol. 25(3), pages 261-278, June.
    5. Evans, Paul & Karras, Georgios, 1994. "Is government capital productive? Evidence from a panel of seven countries," Journal of Macroeconomics, Elsevier, vol. 16(2), pages 271-279.
    6. 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.
    7. Kelobonye, Keone & McCarney, Gary & Xia, Jianhong (Cecilia) & Swapan, Mohammad Shahidul Hasan & Mao, Feng & Zhou, Heng, 2019. "Relative accessibility analysis for key land uses: A spatial equity perspective," Journal of Transport Geography, Elsevier, vol. 75(C), pages 82-93.
    8. Philpotts, Geoffrey, 1983. "Applied Fairness Theory: Comment," American Economic Review, American Economic Association, vol. 73(5), pages 1157-1160, December.
    9. Thomopoulos, Nikolaos & Grant-Muller, Susan, 2013. "Incorporating equity as part of the wider impacts in transport infrastructure assessment: an application of the SUMINI approach," LSE Research Online Documents on Economics 60073, London School of Economics and Political Science, LSE Library.
    10. Chen, Chia-Lin & Hall, Peter, 2012. "The wider spatial-economic impacts of high-speed trains: a comparative case study of Manchester and Lille sub-regions," Journal of Transport Geography, Elsevier, vol. 24(C), pages 89-110.
    11. Nakagawa, Dai & Hatoko, Masatoshi, 2007. "Reevaluation of Japanese high-speed rail construction: Recent situation of the north corridor Shinkansen and its way to completion," Transport Policy, Elsevier, vol. 14(2), pages 150-164, March.
    12. K. E. Haynes & C. Karlsson & U. Blum, 1997. "Introduction to the special issue The regional and urban effects of high-speed trains," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 31(1), pages 1-20.
    13. Richard Breen, 2010. "Social Mobility and Equality of Opportunity Geary Lecture Spring 2010," The Economic and Social Review, Economic and Social Studies, vol. 41(4), pages 413-428.
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    More about this item

    JEL classification:

    • L9 - Industrial Organization - - Industry Studies: Transportation and Utilities
    • Z1 - Other Special Topics - - Cultural Economics
    • E0 - Macroeconomics and Monetary Economics - - General

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