Understanding the impact of High Speed Railway on urban innovation performance from the perspective of agglomeration externalities and network externalities |
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| Affiliation: | 3. The Future City Lab, East China Normal University, Shanghai 200241, China;1. Research Center for China Administrative, Division & Center for Modern Chinese City Studies, East China Normal University, Shanghai 200241, China;2. Institute of Eco-Chongming, Shanghai 202162, China;3. Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China;1. Beijing Key Laboratory of Megaregions Sustainable Development Modeling and School of Urban Economics and Public Affairs, Capital University of Economics and Business, Beijing, China;2. School of Economics, Southwestern University of Finance and Economics, Chengdu, China;1. Department of Geography, Ghent University, Ghent 9000, Belgium;2. College of Architecture and Urban Planning, Tongji University, Shanghai 200092, China |
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| Abstract: | Transportation infrastructure and innovation play an important role in promoting regional economic growth. However, previous studies have mainly focused on the economic agglomeration by increased accessibility, but ignored the important on inter-city economic linkages and the network externalities it generated. Based on the externality perspective, this paper uses the propensity score matching model (PSM-DID) and spatial econometric model to analyze the heterogeneous impact of HSR opening on urban innovation performance and compare the differential effects of agglomeration externalities and network externalities on knowledge spillovers. The empirical results suggest the following: (1) The opening of HSR significantly improves urban innovation performance, but there is significant spatial heterogeneity. (2) The opening of HSR not only promotes the agglomeration of production factors to cities, but also strengthens inter-city economic connections, thus improving urban innovation performance through agglomeration externalities and network externalities. However, compared to agglomeration externalities, network externalities have a superior strength of impact on urban innovation performance. (3) From the dynamic effect perspective, the opening of HSR has a hysteresis effect on urban innovation of 2–3 years, and differences exist between cities. |
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| Keywords: | HSR Urban innovation performance Agglomeration externalities Network externalities Spatial econometric model |
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