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Study on Treatment Effects and Spatial Spillover Effects of Beijing–Shanghai HSR on the cities along the line

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  • Lu Yu

    (Shanghai Maritime University)

Abstract

This paper investigates the influence of Beijing–Shanghai high-speed rail (HSR) on regional economy and its spatial spillover effect along this line. Several forms of spatial difference-in-difference (SDID) models are used to analyze the night light data and other socio-economic data from 47 prefecture-level cities in China from 2005 to 2013. The results show that Beijing–Shanghai HSR significantly promoted economic growth of HSR cities compared with adjacent non-HSR cities. At the same time, the impacts of Beijing–Shanghai HSR on HSR cities propagate to other adjacent cities, promoting the economic growth of these cities. The opening of Beijing–Shanghai HSR also increased spatial spillover effect on the overall region along the line.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:anresc:v:67:y:2021:i:3:d:10.1007_s00168-021-01061-2
    DOI: 10.1007/s00168-021-01061-2
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    Cited by:

    1. Rémy Le Boennec & Julie Bulteau & Thierry Feuillet, 2022. "The role of commuter rail accessibility in the formation of residential land values: exploring spatial heterogeneity in peri-urban and remote areas," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 69(1), pages 163-186, August.
    2. Chen, Fanglin & Chen, Zhongfei, 2023. "High-speed rail and happiness," Transportation Research Part A: Policy and Practice, Elsevier, vol. 170(C).
    3. 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).

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    More about this item

    Keywords

    C21; C23; R4;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • R4 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics

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