 Impact of high-speed railway on urban resilience in China: Does urban innovation matter?Ke-Liang Wang, Wei Jiang and Zhuang Miao Socio-Economic Planning Sciences, 2023, vol. 87, issue PB 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. Keywords: Urban resilience; HSR; Time-varying DID model; Urban innovation (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:soceps:v:87:y:2023:i:pb:s0038012123001076 DOI: 10.1016/j.seps.2023.101607 Access Statistics for this article Socio-Economic Planning Sciences is currently edited by Barnett R. Parker More articles in Socio-Economic Planning Sciences from Elsevier |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.