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Quantifying economic effects of transportation investment considering spatiotemporal heterogeneity in China: a spatial panel data model perspective

Author

Listed:
  • Xiongbin Lin

    (Ningbo University
    Ningbo University)

  • Ian MacLachlan

    (Peking University Shenzhen Graduate School)

  • Ting Ren

    (Peking University Shenzhen Graduate School)

  • Feiyang Sun

    (University of Washington)

Abstract

Transportation investment plays a significant role in promoting economic development. However, in what scenario and to what extent transportation investment can stimulate economic growth still remains debatable. For developing countries undergoing rapid urbanization, answering these questions is necessary for evaluating proposals and determining investment plans, especially considering the heterogeneity of spatiotemporal conditions. Current literature lacks systematical research to consider the impacts of panel data and spatial correlation issue in examining the economic effects of transportation investment. To fill this gap, this study collects provincial panel data in China from 1997 to 2015 to evaluate multi-level temporal and spatial effects of transportation investment on economic growth by using spatial panel data analysis. Results show that transportation investment leads to significant and positive effects on growth and spatial concentration of economic activities, but these results vary significantly depending on the temporal and spatial characteristics of each province. The economic impacts of transportation investment are quite positive even considering the time lag effects. This study suggests that both central and local governments should carefully evaluate the multifaceted economic effects of transportation investment, such as a balanced transportation investment and economic development between growing and lagging regions, and considering the spatiotemporal heterogeneity of the economic environment.

Suggested Citation

  • Xiongbin Lin & Ian MacLachlan & Ting Ren & Feiyang Sun, 2019. "Quantifying economic effects of transportation investment considering spatiotemporal heterogeneity in China: a spatial panel data model perspective," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 63(3), pages 437-459, December.
    • Handle: RePEc:spr:anresc:v:63:y:2019:i:3:d:10.1007_s00168-019-00937-8
    DOI: 10.1007/s00168-019-00937-8
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    3. Liaoliao Duan & Dongxiao Niu & Weizeng Sun & Siqi Zheng, 2021. "Transportation infrastructure and capital mobility: evidence from China’s high-speed railways," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 67(3), pages 617-648, December.
    4. Zhou Zhou & Jianqiang Duan & Wenxing Li & Shaoqing Geng, 2021. "Can Rural Road Construction Promote the Sustainable Development of Regional Agriculture in China?," Sustainability, MDPI, vol. 13(19), pages 1-32, September.
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    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General
    • R58 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Regional Development Planning and Policy

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