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High-speed Rail Network and Changing Industrial Dynamics in Chinese Regions

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  • Shengjun Zhu
  • Chong Wang
  • Canfei He

Abstract

High-speed railway (HSR) network can significantly reduce the transport cost of people and facilitate interregional knowledge spillovers. It may thus affect regional industrial dynamics. By employing the industrial relatedness indicator, this article shows that regional industrial dynamics is path dependent in China. It further adopts several classical accessibility indicators to capture the network characteristics of transport infrastructure and the accessibility of Chinese cities in the HSR network. In response to the endogeneity issue, we design an instrumental variable based on historic transport network. Another econometric strategy is to include only two groups of cities in the sample: cities with existing HSR stations and cities with planned HSR stations. The empirical results suggest that high accessibility in the HSR network not only pushes forward new industry creation but also enables regions to be more pathbreaking and diversify into less related industries.

Suggested Citation

  • Shengjun Zhu & Chong Wang & Canfei He, 2019. "High-speed Rail Network and Changing Industrial Dynamics in Chinese Regions," International Regional Science Review, , vol. 42(5-6), pages 495-518, September.
    • Handle: RePEc:sae:inrsre:v:42:y:2019:i:5-6:p:495-518
    DOI: 10.1177/0160017619835908
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    References listed on IDEAS

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    Cited by:

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    2. Shicong XU & Abdoul G. SAM, 2021. "Diversity Or Specializarion? Understanding Knowledge Spillover Mechanisms In China," Regional Science Inquiry, Hellenic Association of Regional Scientists, vol. 0(1), pages 225-238, June.
    3. Hidalgo, César A., 2023. "The policy implications of economic complexity," Research Policy, Elsevier, vol. 52(9).
    4. You He & Alex de Sherbinin & Guoqing Shi & Haibin Xia, 2022. "The Economic Spatial Structure Evolution of Urban Agglomeration under the Impact of High-Speed Rail Construction: Is There a Difference between Developed and Developing Regions?," Land, MDPI, vol. 11(9), pages 1-17, September.
    5. Lu, Juan & Li, He, 2022. "Can high-speed rail improve enterprise capacity utilization? A perspective of supply side and demand side," Transport Policy, Elsevier, vol. 115(C), pages 152-163.
    6. Suchi Kapoor Malhotra & Howard White & Nina Ashley O. Dela Cruz & Ashrita Saran & John Eyers & Denny John & Ella Beveridge & Nina Blöndal, 2021. "Studies of the effectiveness of transport sector interventions in low‐ and middle‐income countries: An evidence and gap map," Campbell Systematic Reviews, John Wiley & Sons, vol. 17(4), December.

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