Abstract The relationship between high-speed railway (HSR) construction and economic development has become a significant concern in recent decades. This study uses the spatiotemporal panel data of China's HSR construction and economic development from 2008 to 2018 as bases to discuss the spatial–temporal heterogeneity of the relationship between HSR and the urban economy. Firstly, this research measures the accessibility of different dimensions (i.e. location accessibility, potential accessibility and daily accessibility), and assesses the regional disparity of HSR accessibility and urban GDP using the Gini index. Secondly, the direct and indirect effects of HSR on economic development are analyzed from the global perspective by using the spatial Durbin model. Lastly, the geographically and temporally weighted regression model is applied to assess the spatial–temporal heterogeneity of the correlation between HSR and economic development from a local perspective. The conclusions are as follows. (1) The construction of HSR might reduce the regional disparity of daily accessibility, but expand the disparity of potential accessibility and location accessibility. (2) From a global perspective, HSR has a significant positive impact on urban economic development, but this impact was mainly produced by the spillover effect and not the direct effect. Specifically, the smaller the spatial–temporal distance between cities, the higher the level of regional integration and the better the economic development of cities. (3) The HSR impact on urban economic growth has a periodic feature. The stimulation of large-scale railway construction will expand the economic effect of HSR, although network improvement will gradually converge the corresponding impact. (4) From a local perspective, the HSR impact on economic development has significant spatial heterogeneity. Although HSR has a certain inhibitory effect on the economic development of Eastern China, it has a positive impact on the economic growth of the western region.
Highlights Regional disparities of high-speed rail accessibility and urban economy are identified. Combines Spatial Durbin model and geographically and temporally weighted regression to assess the global and local economic effect of high-speed rail. The spatial and temporal features of economic effect of high-speed rail are measured by using different dimensions of accessibility. The positive effect of high-speed rail on urban economy is realized by indirect impact, rather than direct impact.
Spatial and temporal heterogeneity of the impact of high-speed railway on urban economy: Empirical study of Chinese cities
2021-01-20
Article (Journal)
Electronic Resource
English
High-speed rail , Spatial Durbin model , Geographically and temporally weighted regression , Gini index , Spatial–temporal heterogeneity , HSR , Spatial error model , SEM , Spatial lag model , SLM , SDM , GTWR , Geographically weighted regression , GWR , Temporally weighted regression , TWR , Ordinary least squares , OLS , Gross domestic product , GDP , Potential accessibility , PA , Location accessibility , LA , Daily accessibility , DA , Average shortest travel time , ASTT , Difference-in-differences model , DID , Foreign direct investment , FDI , Fixed asset investment , FAI , Population , POP
Cities and Satellites: Spatial Effects and Unobserved Heterogeneity in Modeling Urban Growth
Online Contents | 2008
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