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High-Speed Railway Opening and Urban Innovation Dividend—A Case Study of Guangzhou Zhuhai Intercity High-Speed Railway

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Listed:
  • Shuping Cheng

    (School of Management & Engineering, Nanjing University, Nanjing 210093, China)

  • Jinli Liu

    (School of Management & Engineering, Nanjing University, Nanjing 210093, China)

  • Jingxue Xu

    (School of Management & Engineering, Nanjing University, Nanjing 210093, China)

  • Yumin Qiu

    (School of Accountancy, Nanjing University of Finance and Economics, Nanjing 210003, China)

Abstract

Based on the panel data of 41 cities along and around the Guangzhou Zhuhai intercity railway (GZR) from 2005 to 2018 and taking the opening of the GZR as a natural experimental scenario, the difference-in-difference (DID) method was used to empirically test the impact of the opening of the GZR on the innovation of cities along the line. The research results show that the opening of GZR has had a statistically positive effect on the innovation of cities along the route—that is, the innovation dividend of high-speed railway (HSR)cities exists, which improves the level of urban innovation—and further, there is time dynamics and regional heterogeneity in the innovation dividend. The research results of this paper have significant policy implications for optimizing China’s HSR network.

Suggested Citation

  • Shuping Cheng & Jinli Liu & Jingxue Xu & Yumin Qiu, 2022. "High-Speed Railway Opening and Urban Innovation Dividend—A Case Study of Guangzhou Zhuhai Intercity High-Speed Railway," Land, MDPI, vol. 12(1), pages 1-17, December.
    • Handle: RePEc:gam:jlands:v:12:y:2022:i:1:p:17-:d:1009857
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    References listed on IDEAS

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    1. Dong, Xiaofang & Zheng, Siqi & Kahn, Matthew E., 2020. "The role of transportation speed in facilitating high skilled teamwork across cities," Journal of Urban Economics, Elsevier, vol. 115(C).
    2. Engwall, Mats, 2003. "No project is an island: linking projects to history and context," Research Policy, Elsevier, vol. 32(5), pages 789-808, May.
    3. 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.
    4. Daron Acemoglu & Jacob Moscona & James A. Robinson, 2016. "State Capacity and American Technology: Evidence from the 19th Century," NBER Working Papers 21932, National Bureau of Economic Research, Inc.
    5. Melo, Patricia C. & Graham, Daniel J. & Brage-Ardao, Ruben, 2013. "The productivity of transport infrastructure investment: A meta-analysis of empirical evidence," Regional Science and Urban Economics, Elsevier, vol. 43(5), pages 695-706.
    6. Christophe Kamps, 2005. "The Dynamic Effects of Public Capital: VAR Evidence for 22 OECD Countries," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 12(4), pages 533-558, August.
    7. Efthymiou, D. & Antoniou, C., 2013. "How do transport infrastructure and policies affect house prices and rents? Evidence from Athens, Greece," Transportation Research Part A: Policy and Practice, Elsevier, vol. 52(C), pages 1-22.
    8. Qin, Yu & Zhang, Xiaobo, 2016. "The Road to Specialization in Agricultural Production: Evidence from Rural China," World Development, Elsevier, vol. 77(C), pages 1-16.
    9. 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.
    10. Banister, David & Thurstain-Goodwin, Mark, 2011. "Quantification of the non-transport benefits resulting from rail investment," Journal of Transport Geography, Elsevier, vol. 19(2), pages 212-223.
    11. Daron Acemoglu & Jacob Moscona & James A. Robinson, 2016. "State Capacity and American Technology: Evidence from the Nineteenth Century," American Economic Review, American Economic Association, vol. 106(5), pages 61-67, May.
    12. 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.
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