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Does the Opening of High-Speed Railway Improve High-Quality Economic Development in the Yangtze River Delta, China?

Author

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  • Chiming Guan

    (School of Economics & Management, Southeast University, Nanjing 211102, China
    National School of Development and Policy, Southeast University, Nanjing 210096, China)

  • Liuying Chen

    (School of Economics & Management, Southeast University, Nanjing 211102, China)

  • Danyang Li

    (Department of Geography and Tourism, Katholieke Universiteit Leuven, 3000 Leuven, Belgium)

Abstract
The Yangtze River Delta (YRD) is the area with the densest high-speed railway (HSR) network in China, and it leads the high-quality economic development (HQED) in the country. HSR plays an important role in regional development. However, research on the impact of the HSR on HQED is notably limited. Theoretically, this study develops an analytical framework for the mechanism of the HSR’s influence on HQED. Empirically, it calculates the HQED index and then investigates the impact of the HSR on HQED and the regional discrepancies across cities in the YRD, based on data from 2011 to 2019 using the difference-in-differences model. The results show: (1) The mechanism lies in that the HSR improves urban accessibility, accelerates the flow of the production factors, and enhances the allocation efficiency of the input factors. (2) The distribution of the HQED level presents an obvious circular pattern, with Shanghai and Suzhou at the centre, showing the prominent principle of distance decay. (3) Both the regression model and the robustness tests show that the HSR significantly promotes HQED in the YRD. Additionally, the economic development, foreign capital spent, financial level, industry advancement, and living standard are conducive to HQED. (4) The results of the heterogeneity test reveal that the HSR has an obviously varied impact on HQED in cities depending on their size and location. The HSR has a significant promotional effect on HQED in cities with a large population and those far away from a provincial city.

Suggested Citation

  • Chiming Guan & Liuying Chen & Danyang Li, 2023. "Does the Opening of High-Speed Railway Improve High-Quality Economic Development in the Yangtze River Delta, China?," Land, MDPI, vol. 12(8), pages 1-28, August.
  • Handle: RePEc:gam:jlands:v:12:y:2023:i:8:p:1629-:d:1220256
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    References listed on IDEAS

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    1. Yang, Yuxue & Su, Xiang & Yao, Shuangliang, 2021. "Nexus between green finance, fintech, and high-quality economic development: Empirical evidence from China," Resources Policy, Elsevier, vol. 74(C).
    2. Coşar, A. Kerem & Demir, Banu, 2016. "Domestic road infrastructure and international trade: Evidence from Turkey," Journal of Development Economics, Elsevier, vol. 118(C), pages 232-244.
    3. Guo, Jie & Sun, Zixu, 2023. "How does manufacturing agglomeration affect high-quality economic development in China?," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 673-691.
    4. 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.
    5. 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.
    6. Kong, Qunxi & Peng, Dan & Ni, Yehui & Jiang, Xinyue & Wang, Ziqi, 2021. "Trade openness and economic growth quality of China: Empirical analysis using ARDL model," Finance Research Letters, Elsevier, vol. 38(C).
    7. 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.
    8. Liu, Liwen & Zhang, Ming, 2018. "High-speed rail impacts on travel times, accessibility, and economic productivity: A benchmarking analysis in city-cluster regions of China," Journal of Transport Geography, Elsevier, vol. 73(C), pages 25-40.
    9. Chang, Yuan & Lei, Shuhua & Teng, Jianjian & Zhang, Jiangxue & Zhang, Lixiao & Xu, Xiao, 2019. "The energy use and environmental emissions of high-speed rail transportation in China: A bottom-up modeling," Energy, Elsevier, vol. 182(C), pages 1193-1201.
    10. Bougheas, Spiros & Demetriades, Panicos O. & Morgenroth, Edgar L. W., 1999. "Infrastructure, transport costs and trade," Journal of International Economics, Elsevier, vol. 47(1), pages 169-189, February.
    11. Jianjun Zhou & Xiayang Fan & Aizhi Yu & Bernardo A. Furtado, 2021. "The Impact of High-Speed Railway Accession on Agricultural Exports: Evidence from Chinese Agriculture-Related Enterprises," Complexity, Hindawi, vol. 2021, pages 1-19, August.
    12. Jinxing Hu & Guojie Ma & Chaohai Shen & Xiaolan Zhou, 2022. "Impact of Urbanization through High-Speed Rail on Regional Development with the Interaction of Socioeconomic Factors: A View of Regional Industrial Structure," Land, MDPI, vol. 11(10), pages 1-21, October.
    13. 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).
    14. Lingming Chen & Wenzhong Ye & Congjia Huo & Kieran James, 2020. "Environmental Regulations, the Industrial Structure, and High-Quality Regional Economic Development: Evidence from China," Land, MDPI, vol. 9(12), pages 1-22, December.
    15. Sophie Masson & Romain Petiot, 2009. "Can the high speed rail reinforce tourism attractiveness ? The case of the hagh speed rail between Perpignan (france) and Barcelona (Spain)," Post-Print hal-03062650, HAL.
    16. Sophie Masson & Romain Petiot, 2009. "Can the High Speed Rail reinforce tourism attractiveness? The case of the High Speed Railway section between Perpignan (France) and Barcelona (Spain)," Post-Print hal-02422659, HAL.
    17. Xinhai Lu & Yifeng Tang & Shangan Ke, 2021. "Does the Construction and Operation of High-Speed Rail Improve Urban Land Use Efficiency? Evidence from China," Land, MDPI, vol. 10(3), pages 1-15, March.
    18. Jiawei Wu & Wei Sun, 2023. "Regional Integration and Sustainable Development in the Yangtze River Delta, China: Towards a Conceptual Framework and Research Agenda," Land, MDPI, vol. 12(2), pages 1-20, February.
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