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The Impact of High-Speed Rail Opening on City Economics along the Silk Road Economic Belt

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  • Feng Li

    (School of Business Administration, Xinjiang University of Finance &Economics, Urumqi 830052, China)

  • Yang Su

    (College of Economics and Trade, Xinjiang Agricultural University, Urumqi 830052, China)

  • Jiaping Xie

    (School of Business Administration, Xinjiang University of Finance &Economics, Urumqi 830052, China
    School of international business administration, Shanghai University of Finance and Economics, Shanghai 200433, China)

  • Weijun Zhu

    (School of international business administration, Shanghai University of Finance and Economics, Shanghai 200433, China)

  • Yahua Wang

    (School of Public Policy and Management, Tsinghua University, Beijing 100084, China
    China Institute for Rural Studies, Tsinghua University, Beijing 100084, China)

Abstract

Achieving transport connectivity is a priority in China’s “Belt and Road Initiative”. In order to further understand the impact of railway infrastructure on city-level economic expansion, we set cities with high-speed rail as the treatment group and those without high-speed rail as the control group, and a difference-in-differences (DID) technique was used to estimate the growth impact and heterogeneity of high-speed rail opening on the economic growth of cities along the New Silk Road Economic Belt. The main results are as follows: First, economic growth in cities with operational high-speed rail lines was significantly higher than those without high-speed rail. Second, the impact of high-speed rail on economic growth exhibited distinct heterogeneity. Large cities tend to have a stronger siphoning effect, resulting in more pronounced impact of high-speed rail opening on urban economic growth. Third, cities with higher marketization levels and higher government efficiency were shown to have stronger economic growth effect.

Suggested Citation

  • Feng Li & Yang Su & Jiaping Xie & Weijun Zhu & Yahua Wang, 2020. "The Impact of High-Speed Rail Opening on City Economics along the Silk Road Economic Belt," Sustainability, MDPI, vol. 12(8), pages 1-16, April.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:8:p:3176-:d:345619
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    as
    1. Ashenfelter, Orley C, 1978. "Estimating the Effect of Training Programs on Earnings," The Review of Economics and Statistics, MIT Press, vol. 60(1), pages 47-57, February.
    2. 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.
    3. Diego Puga, 2002. "European regional policies in light of recent location theories," Journal of Economic Geography, Oxford University Press, vol. 2(4), pages 373-406, October.
    4. Mercedes Gumbau Albert & Joaquín Maudos Villarroya & Pedro Cantos, 2002. "Transport Infrastructures And Regional Growth: Evidence Of The Spanish Case," Working Papers. Serie EC 2002-27, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    5. Moshe Givoni, 2006. "Development and Impact of the Modern High‐speed Train: A Review," Transport Reviews, Taylor & Francis Journals, vol. 26(5), pages 593-611, January.
    6. Shao, Shuai & Tian, Zhihua & Yang, Lili, 2017. "High speed rail and urban service industry agglomeration: Evidence from China's Yangtze River Delta region," Journal of Transport Geography, Elsevier, vol. 64(C), pages 174-183.
    7. Chen, Zhenhua & Haynes, Kingsley E., 2017. "Impact of high-speed rail on regional economic disparity in China," Journal of Transport Geography, Elsevier, vol. 65(C), pages 80-91.
    8. Feng Yu & Faqin Lin & Yihong Tang & Changbiao Zhong, 2019. "High‐speed railway to success? The effects of high‐speed rail connection on regional economic development in China," Journal of Regional Science, Wiley Blackwell, vol. 59(4), pages 723-742, September.
    9. Donaldson, Dave, 2010. "Railroads of the Raj: estimating the impact of transportation infrastructure," LSE Research Online Documents on Economics 38368, London School of Economics and Political Science, LSE Library.
    10. Dave Donaldson, 2010. "Railroads of the Raj: Estimating the Impact of Transportation Infrastructure," NBER Working Papers 16487, National Bureau of Economic Research, Inc.
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    Cited by:

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    7. Jin, Mengjie & Shi, Wenming & Liu, Yu & Xu, Xiaoling & Li, Kevin X., 2022. "Heterogeneous impact of high speed railway on income distribution: A case study in China," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).
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