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The Opening of High-Speed Railway and Coordinated Development of the Core–Periphery Urban Economy in China

Author

Listed:
  • Jiaqi Li

    (School of Economics, Shandong University of Technology (SDUT), Zibo 255049, China)

  • Ehsan Elahi

    (School of Economics, Shandong University of Technology (SDUT), Zibo 255049, China)

  • Peng Cheng

    (School of Economics, Shandong University of Technology (SDUT), Zibo 255049, China)

  • Aimin Wu

    (School of Economics, Shandong University of Technology (SDUT), Zibo 255049, China)

  • Fengtong Cao

    (School of Economics, Shandong University of Technology (SDUT), Zibo 255049, China)

  • Wang Jian

    (School of Economics, Shandong University of Technology (SDUT), Zibo 255049, China)

  • Mohammad Ilyas Abro

    (Department of Basic Sciences and Humanities, Dawood University of Engineering and Technology, Karachi 74800, Pakistan)

  • Zainab Khalid

    (School of Economics and Management, Southeast University, Nanjing 210096, China)

Abstract

The current study investigates the impact of the high-speed railway’s operation on the coordinated economic development of “core–periphery” cities using the multi-period difference-in-difference (DID) model. Data on 270 prefecture-level cities in China were collected for empirical analysis of collected data. The findings demonstrate that the high-speed railway’s operation has widened the economic development gap between core and peripheral cities and restrained the coordinated growth of the urban economy. The heterogeneity analysis found that the “siphon effect” of the high-speed railway’s operation in core cities is only effective within the distance of “one-hour metropolitan area”. Moreover, it is found that the high-speed railway has a threshold effect based on the size of cities. It depicts that the core cities in the high-speed railway network play a “siphon effect” and “diffusion effect” on large size cities and small (or medium) size cities, respectively, which is manifested as a suppression and promotion effect on the coordinated development of the urban economy. Furthermore, it is found that that technological innovation and economic agglomeration are two significant intermediary paths of high-speed railway opening that affect the level of “core–periphery” city economics coordination; however, technological innovation’s role as an intermediary has a stronger masking effect than economic agglomeration.

Suggested Citation

  • Jiaqi Li & Ehsan Elahi & Peng Cheng & Aimin Wu & Fengtong Cao & Wang Jian & Mohammad Ilyas Abro & Zainab Khalid, 2023. "The Opening of High-Speed Railway and Coordinated Development of the Core–Periphery Urban Economy in China," Sustainability, MDPI, vol. 15(5), pages 1-15, March.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:5:p:4677-:d:1089173
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    References listed on IDEAS

    as
    1. Peng, Benhong & Chen, Hong & Elahi, Ehsan & Wei, Guo, 2020. "Study on the spatial differentiation of environmental governance performance of Yangtze river urban agglomeration in Jiangsu province of China," Land Use Policy, Elsevier, vol. 99(C).
    2. Redding, Stephen J. & Turner, Matthew A., 2015. "Transportation Costs and the Spatial Organization of Economic Activity," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 1339-1398, Elsevier.
    3. Scaringella, Laurent & Chanaron, Jean-Jacques, 2016. "Grenoble–GIANT Territorial Innovation Models: Are investments in research infrastructures worthwhile?," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 92-101.
    4. Elahi, Ehsan & Khalid, Zainab & Tauni, Muhammad Zubair & Zhang, Hongxia & Lirong, Xing, 2022. "Extreme weather events risk to crop-production and the adaptation of innovative management strategies to mitigate the risk: A retrospective survey of rural Punjab, Pakistan," Technovation, Elsevier, vol. 117(C).
    5. Elahi, Ehsan & Khalid, Zainab, 2022. "Estimating smart energy inputs packages using hybrid optimisation technique to mitigate environmental emissions of commercial fish farms," Applied Energy, Elsevier, vol. 326(C).
    6. Elahi, Ehsan & Zhang, Zhixin & Khalid, Zainab & Xu, Haiyun, 2022. "Application of an artificial neural network to optimise energy inputs: An energy- and cost-saving strategy for commercial poultry farms," Energy, Elsevier, vol. 244(PB).
    Full references (including those not matched with items on IDEAS)

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