IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i8p3176-d345619.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/8/3176/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/12/8/3176/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    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. 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.
    5. 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.
    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. 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.
    8. Dave Donaldson, 2010. "Railroads of the Raj: Estimating the Impact of Transportation Infrastructure," NBER Working Papers 16487, National Bureau of Economic Research, Inc.
    9. 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).
    10. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Shanlang Lin & Prithvi Raj Dhakal & Zhaowei Wu, 2021. "The Impact of High-Speed Railway on China’s Regional Economic Growth Based on the Perspective of Regional Heterogeneity of Quality of Place," Sustainability, MDPI, vol. 13(9), pages 1-24, April.
    2. Liu, Jingyang & Yang, Haoran, 2023. "Income allocation and distribution along with high-speed rail development in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 175(C).
    3. Sidong Zhao & Yiran Yan & Jing Han, 2021. "Industrial Land Change in Chinese Silk Road Cities and Its Influence on Environments," Land, MDPI, vol. 10(8), pages 1-30, July.
    4. Meihui Zhang & Chi Zhang & Fenghua Li & Ziyu Liu, 2022. "Green Finance as an Institutional Mechanism to Direct the Belt and Road Initiative towards Sustainability: The Case of China," Sustainability, MDPI, vol. 14(10), pages 1-31, May.
    5. Yang Lu & Longji Zeng, 2022. "How Do High-Speed Railways Facilitate High-Quality Urban Development: Evidence from China," Land, MDPI, vol. 11(9), pages 1-15, September.
    6. Maximilian Braun & Jan Kunkler & Florian Kellner, 2020. "Towards Sustainable Cities: Utilizing Floating Car Data to Support Location-Based Road Network Performance Measurements," Sustainability, MDPI, vol. 12(19), pages 1-22, October.
    7. Di Matteo, Dante & Mariotti, Ilaria & Rossi, Federica, 2023. "Transport infrastructure and economic performance: An evaluation of the Milan-Bologna high-speed rail corridor," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    8. Huang, Yan & Zong, Huiming, 2020. "The spatial distribution and determinants of China’s high-speed train services," Transportation Research Part A: Policy and Practice, Elsevier, vol. 142(C), pages 56-70.
    9. Hiramatsu, Tomoru, 2023. "Inter-metropolitan regional migration galvanized by high-speed rail: A simulation analysis of the Linear Chuo Shinkansen line in Japan," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    10. Chong Ye & Yanhong Zheng & Shanlang Lin & Zhaoyang Zhao, 2022. "The Impact of High-Speed Railway Opening on Regional Economic Growth: The Case of the Wuhan–Guangzhou High-Speed Railway Line," Sustainability, MDPI, vol. 14(18), pages 1-22, September.
    11. 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).
    12. Hu, Zhibin & Wu, Guangdong & Han, Yilong & Niu, Yanliang, 2023. "Unraveling the dynamic changes of high-speed rail network with urban development: Evidence from China," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).

    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. Yang, Xiaolan & Wang, Rui & Guo, Dongmei & Sun, Weizeng, 2020. "The reconfiguration effect of China's high-speed railway on intercity connection ——A study based on media attention index," Transport Policy, Elsevier, vol. 95(C), pages 47-56.
    2. Li, Xiaolong & Wu, Zongfa & Zhao, Xingchen, 2020. "Economic effect and its disparity of high speed rail in China: A study of mechanism based on synthesis control method," Transport Policy, Elsevier, vol. 99(C), pages 262-274.
    3. Huang, Yan & Zong, Huiming, 2020. "The spatial distribution and determinants of China’s high-speed train services," Transportation Research Part A: Policy and Practice, Elsevier, vol. 142(C), pages 56-70.
    4. Fan, Xiaomin & Xu, Yingzhi, 2023. "Does high-speed railway promote urban innovation? Evidence from China," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).
    5. Yahong Liu & Daisheng Tang & Tao Bu & Xinyuan Wang, 2022. "The spatial employment effect of high-speed railway: quasi-natural experimental evidence from China," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 69(2), pages 333-359, October.
    6. Sun, Xinyu & Yan, Sen & Liu, Tao & Wang, Jiayin, 2023. "The impact of high-speed rail on urban economy: Synergy with urban agglomeration policy," Transport Policy, Elsevier, vol. 130(C), pages 141-154.
    7. Li, Hui & Dong, Xiucheng & Jiang, Qingzhe & Dong, Kangyin, 2021. "Policy analysis for high-speed rail in China: Evolution, evaluation, and expectation," Transport Policy, Elsevier, vol. 106(C), pages 37-53.
    8. Giuseppe Francesco Gori & Renato Paniccià, 2015. "A structural multisectoral model with new economic geography linkages for Tuscany," Papers in Regional Science, Wiley Blackwell, vol. 94, pages 175-196, November.
    9. Ziyang Chen & Xiao Feng & Ziwen He, 2022. "A Key to Stimulate Green Technology Innovation in China: The Expansion of High-Speed Railways," IJERPH, MDPI, vol. 20(1), pages 1-21, December.
    10. 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.
    11. Guojie Ma & Jinxing Hu & Riquan Zhang, 2023. "Spatial-Temporal Distribution and Coupling Relationship of High-Speed Railway and Economic Networks in Metropolitan Areas of China," Land, MDPI, vol. 12(6), pages 1-23, June.
    12. 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.
    13. Rosa Sanchis-Guarner, 2012. "Driving Up Wages: The Effects of Road Construction in Great Britain," SERC Discussion Papers 0120, Centre for Economic Performance, LSE.
    14. Huang, Ying & Xu, Wangtu (Ato), 2021. "Spatial and temporal heterogeneity of the impact of high-speed railway on urban economy: Empirical study of Chinese cities," Journal of Transport Geography, Elsevier, vol. 91(C).
    15. Teresa Garcia-Milà & José Garcia Montalvo, 2013. "A new approach to measure the impact of highways on business location with an application to Spain," Economics Working Papers 1412, Department of Economics and Business, Universitat Pompeu Fabra.
    16. Yanan Jin & Guoli Ou, 2023. "The Impacts of High-Speed Rail on Producer Service Industry Agglomeration: Evidence from China’s Yangtze River Delta Urban Agglomeration," Sustainability, MDPI, vol. 15(4), pages 1-16, February.
    17. Liu, Mengsha & Jiang, Yan & Wei, Xiaokun & Ruan, Qingsong & Lv, Dayong, 2023. "Effect of high-speed rail on entrepreneurial activities: Evidence from China," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    18. Meng Tian & Tongping Li & Shuwang Yang & Yiwei Wang & Shuke Fu, 2019. "The Impact of High-Speed Rail on the Service-Sector Agglomeration in China," Sustainability, MDPI, vol. 11(7), pages 1-19, April.
    19. Jing Fan & Hironori Kato & Xinghua Liu & Ye Li & Changxi Ma & Liang Zhou & Mingzhang Liang, 2022. "High-Speed Railway Network Development, Inter-County Accessibility Improvements, and Regional Poverty Alleviation: Evidence from China," Land, MDPI, vol. 11(10), pages 1-22, October.
    20. Jun‐Teng Ma & Tie‐Ying Liu, 2022. "Does the high‐speed rail network improve economic growth?," Papers in Regional Science, Wiley Blackwell, vol. 101(1), pages 183-208, February.

    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:gam:jsusta:v:12:y:2020:i:8:p:3176-:d:345619. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.