IDEAS home Printed from https://ideas.repec.org/a/spr/anresc/v68y2022i1d10.1007_s00168-021-01077-8.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s00168-021-01077-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s00168-021-01077-8?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. Philpotts, Geoffrey, 1983. "Applied Fairness Theory: Comment," American Economic Review, American Economic Association, vol. 73(5), pages 1157-1160, December.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Cascetta, Ennio & Cartenì, Armando & Henke, Ilaria & Pagliara, Francesca, 2020. "Economic growth, transport accessibility and regional equity impacts of high-speed railways in Italy: ten years ex post evaluation and future perspectives," Transportation Research Part A: Policy and Practice, Elsevier, vol. 139(C), pages 412-428.
    2. Liang, Yutian & Zhou, Keyang & Li, Xun & Zhou, Zhengke & Sun, Wei & Zeng, Jiaqi, 2020. "Effectiveness of high-speed railway on regional economic growth for less developed areas," Journal of Transport Geography, Elsevier, vol. 82(C).
    3. Liwen Liu & Ming Zhang, 2021. "The Impacts of High-Speed Rail on Regional Accessibility and Spatial Development—Updated Evidence from China’s Mid-Yangtze River City-Cluster Region," Sustainability, MDPI, vol. 13(8), pages 1-16, April.
    4. Marti-Henneberg, Jordi, 2015. "Attracting travellers to the high-speed train: a methodology for comparing potential demand between stations," Journal of Transport Geography, Elsevier, vol. 42(C), pages 145-156.
    5. Jiao, Jingjuan & Wang, Jiaoe & Jin, Fengjun & Dunford, Michael, 2014. "Impacts on accessibility of China’s present and future HSR network," Journal of Transport Geography, Elsevier, vol. 40(C), pages 123-132.
    6. Zhang, Yanyan & Ma, Wenliang & Yang, Hangjun & Wang, Qiang, 2021. "Impact of high-speed rail on urban residents’ consumption in China—from a spatial perspective," Transport Policy, Elsevier, vol. 106(C), pages 1-10.
    7. Li, Hongchang & Strauss, Jack & Shunxiang, Hu & Lui, Lu, 2018. "Do high-speed railways lead to urban economic growth in China? A panel data study of China’s cities," The Quarterly Review of Economics and Finance, Elsevier, vol. 69(C), pages 70-89.
    8. Jiao Li & Yongsheng Qian & Junwei Zeng & Fan Yin & Leipeng Zhu & Xiaoping Guang, 2020. "Research on the Influence of a High-Speed Railway on the Spatial Structure of the Western Urban Agglomeration Based on Fractal Theory—Taking the Chengdu–Chongqing Urban Agglomeration as an Example," Sustainability, MDPI, vol. 12(18), pages 1-13, September.
    9. Zheng, Longfei & Long, Fenjie & Chang, Zheng & Ye, Jingsong, 2019. "Ghost town or city of hope? The spatial spillover effects of high-speed railway stations in China," Transport Policy, Elsevier, vol. 81(C), pages 230-241.
    10. Xu, Wangtu (Ato) & Zhou, Jiangping & Qiu, Guo, 2018. "China's high-speed rail network construction and planning over time: a network analysis," Journal of Transport Geography, Elsevier, vol. 70(C), pages 40-54.
    11. Jia, Shanming & Zhou, Chunyu & Qin, Chenglin, 2017. "No difference in effect of high-speed rail on regional economic growth based on match effect perspective?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 144-157.
    12. Bo Yang & Yaping Yang & Yangxiaoyue Liu & Xiafang Yue, 2022. "Spatial Structure Evolution and Economic Benefits of Rapidly Expanding the High-Speed Rail Network in Developing Regions: A Case Study in Western China," Sustainability, MDPI, vol. 14(23), pages 1-20, November.
    13. Beibei Guo & Jinchuan Ke, 2020. "The Impacts of High-speed Rail on Sustainable Economic Development: Evidence from the Central Part of China," Sustainability, MDPI, vol. 12(6), pages 1-19, March.
    14. Jack Strauss, 2017. "Do High Speed Railways Lead to Urban Economic Growth in China?," Proceedings of Economics and Finance Conferences 4807677, International Institute of Social and Economic Sciences.
    15. Xuan Yang & Qiusheng Zhang & Xiaotian Shen & Jie Qin & Qian Sun & Yuanze Xu, 2022. "Could the Opening of HSR Reduce the M&A Premium?," Sustainability, MDPI, vol. 14(10), pages 1-28, May.
    16. Chen Wang & Jack Strauss & Lei Zheng, 2021. "High-Speed Railway Opening and Corporate Fraud," Sustainability, MDPI, vol. 13(23), pages 1-23, December.
    17. Lan, Xiujuan & Hu, Zheneng & Wen, Chuanhao, 2023. "Does the opening of high-speed rail enhance urban entrepreneurial activity? Evidence from China," Socio-Economic Planning Sciences, Elsevier, vol. 88(C).
    18. Pařil Vilém & Viturka Milan & Rederer Václav, 2023. "The change of commuting behaviour with planned high-speed railways in Czechia," Review of Economic Perspectives, Sciendo, vol. 23(1), pages 1-13, March.
    19. Kaplan, Sigal & Popoks, Dmitrijs & Prato, Carlo Giacomo & Ceder, Avishai (Avi), 2014. "Using connectivity for measuring equity in transit provision," Journal of Transport Geography, Elsevier, vol. 37(C), pages 82-92.
    20. Campos, Javier & de Rus, Ginés, 2009. "Some stylized facts about high-speed rail: A review of HSR experiences around the world," Transport Policy, Elsevier, vol. 16(1), pages 19-28, January.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:anresc:v:68:y:2022:i:1:d:10.1007_s00168-021-01077-8. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.