IDEAS home Printed from https://ideas.repec.org/a/eee/soceps/v87y2023ipbs0038012123001076.html
   My bibliography  Save this article

Impact of high-speed railway on urban resilience in China: Does urban innovation matter?

Author

Listed:
  • Wang, Ke-Liang
  • Jiang, Wei
  • Miao, Zhuang

Abstract

Based on calculating the urban resilience index from five aspects of economy, society, institutions, infrastructure, and ecology by adopting the entropy method, this study applies the time-varying DID model to systematically examine HSR's impact on China's urban resilience, on basis of which its heterogeneities and the mediating effect of urban innovation are also quantified. The findings reveal that: (1) HSR can significantly promote China's urban resilience, as supported by various robustness tests. (2) HSR can significantly improve economic and institution resilience of cities, but does not play a significant role on social resilience and infrastructure resilience, and has a negative effect on ecological resilience. (3) The driving effects of HSR on the resilience of core cities, large cities, and non-resource-based cities are more significant. (4) Urban innovation is an important channel through which HSR impacts urban resilience. The conclusions of this study can offer useful insights for China's future HSR planning and resilient cities construction.

Suggested Citation

  • Wang, Ke-Liang & Jiang, Wei & Miao, Zhuang, 2023. "Impact of high-speed railway on urban resilience in China: Does urban innovation matter?," Socio-Economic Planning Sciences, Elsevier, vol. 87(PB).
    • Handle: RePEc:eee:soceps:v:87:y:2023:i:pb:s0038012123001076
    DOI: 10.1016/j.seps.2023.101607
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0038012123001076
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.seps.2023.101607?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Yang, Xuehui & Zhang, Huirong & Li, Yan, 2022. "High-speed railway, factor flow and enterprise innovation efficiency: An empirical analysis on micro data," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    2. Zhixin Zeng & Long Zhao & Xiaojun Wang, 2022. "Does improved transportation promote innovation? evidence from China’s cities," Applied Economics, Taylor & Francis Journals, vol. 54(23), pages 2643-2657, May.
    3. Clément de Chaisemartin & Xavier D'Haultfœuille, 2020. "Two-Way Fixed Effects Estimators with Heterogeneous Treatment Effects," American Economic Review, American Economic Association, vol. 110(9), pages 2964-2996, September.
    4. Paolo Rizzi & Paola Graziano & Antonio Dallara, 2018. "A capacity approach to territorial resilience: the case of European regions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 60(2), pages 285-328, March.
    5. Hainmueller, Jens, 2012. "Entropy Balancing for Causal Effects: A Multivariate Reweighting Method to Produce Balanced Samples in Observational Studies," Political Analysis, Cambridge University Press, vol. 20(1), pages 25-46, January.
    6. Begoña Guirao & Natalia Casado-Sanz & Juan Luis Campa, 2020. "Labour opportunities provided by Spanish high-speed rail (HSR) commuting services in a period of financial crisis: an approach based on regional wage disparities and housing rental prices," Regional Studies, Taylor & Francis Journals, vol. 54(4), pages 539-549, April.
    7. Zhimin Liu & Chunliang Xiu & Chao Ye, 2020. "Improving Urban Resilience through Green Infrastructure: An Integrated Approach for Connectivity Conservation in the Central City of Shenyang, China," Complexity, Hindawi, vol. 2020, pages 1-15, July.
    8. Fang, Hongsheng & Wu, Xiao & Shen, Jim Huangnan & Zhao, Lexin, 2022. "The impact of technology identification policy on firm innovation: Evidence from China," China Economic Review, Elsevier, vol. 76(C).
    9. Weilong Wu & Tang Jing & Yang Xiaoli, 2022. "Can high-speed train improve the innovation ability of enterprises?," Journal of Applied Economics, Taylor & Francis Journals, vol. 25(1), pages 962-982, December.
    10. Goodman-Bacon, Andrew, 2021. "Difference-in-differences with variation in treatment timing," Journal of Econometrics, Elsevier, vol. 225(2), pages 254-277.
    11. Daniel F Heuermann & Johannes F Schmieder, 2019. "The effect of infrastructure on worker mobility: evidence from high-speed rail expansion in Germany," Journal of Economic Geography, Oxford University Press, vol. 19(2), pages 335-372.
    12. Kong, Qunxi & Li, Rongrong & Jiang, X. & Sun, Peibo & Peng, Dan, 2022. "Has transportation infrastructure development improved the quality of economic growth in China’s cities? A quasi-natural experiment based on the introduction of high-speed rail," Research in International Business and Finance, Elsevier, vol. 62(C).
    13. 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.
    14. Krugman, Paul, 1991. "Increasing Returns and Economic Geography," Journal of Political Economy, University of Chicago Press, vol. 99(3), pages 483-499, June.
    15. Sun, Liyang & Abraham, Sarah, 2021. "Estimating dynamic treatment effects in event studies with heterogeneous treatment effects," Journal of Econometrics, Elsevier, vol. 225(2), pages 175-199.
    16. Chang, Zheng & Zheng, Longfei, 2022. "High-speed rail and the spatial pattern of new firm births: Evidence from China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 373-386.
    17. Shaw, Shih-Lung & Fang, Zhixiang & Lu, Shiwei & Tao, Ran, 2014. "Impacts of high speed rail on railroad network accessibility in China," Journal of Transport Geography, Elsevier, vol. 40(C), pages 112-122.
    18. Ke, Xiao & Chen, Haiqiang & Hong, Yongmiao & Hsiao, Cheng, 2017. "Do China's high-speed-rail projects promote local economy?—New evidence from a panel data approach," China Economic Review, Elsevier, vol. 44(C), pages 203-226.
    19. Shenglong Liu & Penglong Zhang, 2022. "Foreign Direct Investment and Air Pollution in China: Evidence from the Global Financial Crisis," The Developing Economies, Institute of Developing Economies, vol. 60(1), pages 30-61, March.
    20. Lu Yu, 2021. "Study on Treatment Effects and Spatial Spillover Effects of Beijing–Shanghai HSR on the cities along the line," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 67(3), pages 671-695, December.
    21. J. Lobo & D. Strumsky & J. Rothwell, 2013. "Scaling of patenting with urban population size: evidence from global metropolitan areas," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(3), pages 819-828, September.
    22. Wang, Jiating & Cai, Siyuan, 2020. "The construction of high-speed railway and urban innovation capacity: Based on the perspective of knowledge Spillover," China Economic Review, Elsevier, vol. 63(C).
    23. Tao Shi & Yurong Qiao & Qian Zhou, 2021. "Spatiotemporal evolution and spatial relevance of urban resilience: Evidence from cities of China," Growth and Change, Wiley Blackwell, vol. 52(4), pages 2364-2390, December.
    24. Miao, Zhuang & Chen, Xiaodong, 2022. "Combining parametric and non-parametric approach, variable & source -specific productivity changes and rebound effect of energy & environment," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    25. Dong Qiu & Binglin Lv & Calvin M. L. Chan, 2022. "How Digital Platforms Enhance Urban Resilience," Sustainability, MDPI, vol. 14(3), pages 1-17, January.
    26. Yuanping Wang & Mu Lin & Jingxin Gao & Zhaoyin Zhou, 2021. "Fading Attraction of the Shrinking City: An Empirical Study from an Urban Resource Perspective," Sustainability, MDPI, vol. 13(20), pages 1-19, October.
    27. Baker, Andrew C. & Larcker, David F. & Wang, Charles C.Y., 2022. "How much should we trust staggered difference-in-differences estimates?," Journal of Financial Economics, Elsevier, vol. 144(2), pages 370-395.
    28. Callaway, Brantly & Sant’Anna, Pedro H.C., 2021. "Difference-in-Differences with multiple time periods," Journal of Econometrics, Elsevier, vol. 225(2), pages 200-230.
    29. Robert Goodspeed, 2015. "Smart cities: moving beyond urban cybernetics to tackle wicked problems," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 8(1), pages 79-92.
    30. Christian Dippel & Andreas Ferrara & Stephan Heblich, 2020. "Causal mediation analysis in instrumental-variables regressions," Stata Journal, StataCorp LP, vol. 20(3), pages 613-626, September.
    31. Wang, Ke-Liang & Sun, Ting-Ting & Xu, Ru-Yu & Miao, Zhuang & Cheng, Yun-He, 2022. "How does internet development promote urban green innovation efficiency? Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    32. Sun, Yunpeng & Razzaq, Asif & Kizys, Renatas & Bao, Qun, 2022. "High-speed rail and urban green productivity: The mediating role of climatic conditions in China," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    33. Fingleton, Bernard & Szumilo, Nikodem, 2019. "Simulating the impact of transport infrastructure investment on wages: A dynamic spatial panel model approach," Regional Science and Urban Economics, Elsevier, vol. 75(C), pages 148-164.
    34. Gao, Yanyan & Zheng, Jianghuai & Wang, Xin, 2022. "Does high-speed rail reduce environmental pollution? Establishment-level evidence from China," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
    35. Jian Wang & Yuzhou Deng & Sonia Kumari & Zhihui Song, 2023. "Research on the Spatial Spillover Effect of Transportation Infrastructure on Urban Resilience in Three Major Urban Agglomerations in China," Sustainability, MDPI, vol. 15(6), pages 1-21, March.
    36. Chacon-Hurtado, Davis & Kumar, Indraneel & Gkritza, Konstantina & Fricker, Jon D. & Beaulieu, Lionel J., 2020. "The role of transportation accessibility in regional economic resilience," Journal of Transport Geography, Elsevier, vol. 84(C).
    37. Wang, Feng & Wei, Xianjin & Liu, Juan & He, Lingyun & Gao, Mengnan, 2019. "Impact of high-speed rail on population mobility and urbanisation: A case study on Yangtze River Delta urban agglomeration, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 127(C), pages 99-114.
    38. Liu, Tie-Ying & Su, Chi-Wei, 2021. "Is transportation improving urbanization in China?," Socio-Economic Planning Sciences, Elsevier, vol. 77(C).
    39. Miwa, Norihiro & Bhatt, Ayushman & Morikawa, So & Kato, Hironori, 2022. "High-Speed rail and the knowledge economy: Evidence from Japan," Transportation Research Part A: Policy and Practice, Elsevier, vol. 159(C), pages 398-416.
    40. Keliang Wang & Bin Zhao & Tianzheng Fan & Jinning Zhang, 2022. "Economic Growth Targets and Carbon Emissions: Evidence from China," IJERPH, MDPI, vol. 19(13), pages 1-16, June.
    Full references (including those not matched with items on IDEAS)

    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. Lan, Xiujuan & Hu, Zheneng & Wen, Chuanhao, 2023. "Does the opening of high-speed rail enhance urban entrepreneurial activity? Evidence from China," Socio-Economic Planning Sciences, Elsevier, vol. 88(C).
    2. Fangting Chi & Haoying Han, 2023. "The Impact of High-Speed Rail on Economic Development: A County-Level Analysis," Land, MDPI, vol. 12(4), pages 1-22, April.
    3. 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).
    4. Rik Chakraborti & Gavin Roberts, 2023. "How price-gouging regulation undermined COVID-19 mitigation: county-level evidence of unintended consequences," Public Choice, Springer, vol. 196(1), pages 51-83, July.
    5. Mikhail Mamonov & Anna Pestova & Steven Ongena, 2023. "“Crime and Punishment”? How Banks Anticipate and Propagate Global Financial Sanctions," CERGE-EI Working Papers wp753, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    6. Asatryan, Zareh & Baskaran, Thushyanthan & Birkholz, Carlo & Hufschmidt, Patrick, 2023. "Favoritism by the governing elite," Ruhr Economic Papers 1029, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    7. Cl'ement de Chaisemartin & Xavier D'Haultf{oe}uille, 2021. "Two-Way Fixed Effects and Differences-in-Differences with Heterogeneous Treatment Effects: A Survey," Papers 2112.04565, arXiv.org, revised Jun 2022.
    8. Davidson, Carl & Heyman, Fredrik & Matusz, Steven & Sjöholm, Fredrik & Chun Zhu, Susan, 2022. "How International Experience Helps Shape Labor Market Outcomes," Working Paper Series 1453, Research Institute of Industrial Economics.
    9. Luca Coraggio & Marco Pagano & Annalisa Scognamiglio & Joacim Tåg, 2022. "JAQ of All Trades: Job Mismatch, Firm Productivity and Managerial Quality," EIEF Working Papers Series 2205, Einaudi Institute for Economics and Finance (EIEF), revised Mar 2022.
    10. Tien Manh Vu & Hiroyuki Yamada, 2021. "Firms and regional favouritism," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 29(4), pages 711-734, October.
    11. Wei-Fong Pan, 2023. "Does a firm’s lobbying activity respond to its peers’ lobbying activity?," Public Choice, Springer, vol. 194(3), pages 297-324, March.
    12. Raphaelle G. Coulombe & Akhil Rao, 2023. "Fires and Local Labor Markets," Papers 2308.02739, arXiv.org.
    13. Jha, Chandan Kumar & Joshi, Swarup, 2023. "Municipal bankruptcies and crime," International Review of Financial Analysis, Elsevier, vol. 89(C).
    14. Brice Fabre & Marc Sangnier, 2022. "Where do politicians send pork? Evidence from central government transfers to French municipalities," DeFiPP Working Papers 2202, University of Namur, Development Finance and Public Policies.
    15. Brehm, Johannes & Pestel, Nico & Schaffner, Sandra & Schmitz, Laura, 2022. "From low emission zone to academic track: Environmental policy effects on educational achievement in elementary school," Ruhr Economic Papers 980, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    16. Hsuan-Hua Huang & Hsing-Wen Han & Kuang-Ta Lo & Tzu-Ting Yang, 2023. "Liquidity Constraints, Cash Windfalls, and Entrepreneurship: Evidence from Administrative Data on Lottery Winners," Papers 2303.17029, arXiv.org.
    17. Jaqueline Hansen & Valeria Merlo & Georg Wamser, 2023. "Taxes, Profit Shifting, and the Real Activities of MNEs: Evidence from Corporate Tax Notches," CESifo Working Paper Series 10593, CESifo.
    18. Kim, Youngho, 2023. "Payments for Ecosystem Services Programs and Climate Change Adaptation in Agriculture," 2023 Annual Meeting, July 23-25, Washington D.C. 335971, Agricultural and Applied Economics Association.
    19. Chiara Drolsbach & Maximilian Maurice Gail & Phil-Adrian Klotz, 2022. "Pass-through of Temporary Fuel Tax Reductions: Evidence from Europe," MAGKS Papers on Economics 202239, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    20. Chronopoulos, Dimitris K. & Wilson, John O.S. & Yilmaz, Muhammed H., 2023. "Regulatory oversight and bank risk," Journal of Financial Stability, Elsevier, vol. 64(C).

    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:eee:soceps:v:87:y:2023:i:pb:s0038012123001076. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/seps .

    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.