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Railroad development, temporal‐spatial externalities, and growth spillover: Theory and empirical evidence

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  • Yun Chen
  • Lijia Wei

Abstract

This paper develops an extended Solow model by considering the time‐variant spillover effect of interregional economies. Instead of using fixed spatial distances among regions, the regions' temporal‐spatial distances are measured by constructing a database of train types and calculating the fastest region‐to‐region routes. We collect provincial economic data and railroads data over the period 2003–2012 in China to establish a dynamic temporal‐spatial panel model. The estimation results indicate significant temporal‐spatial externalities. Compared with classical spatial models, the temporal‐spatial model not only has a much better goodness‐of‐fit but also has consistent total effects, direct effects and indirect effects.

Suggested Citation

  • Yun Chen & Lijia Wei, 2018. "Railroad development, temporal‐spatial externalities, and growth spillover: Theory and empirical evidence," Journal of Regional Science, Wiley Blackwell, vol. 58(5), pages 980-1002, November.
    • Handle: RePEc:bla:jregsc:v:58:y:2018:i:5:p:980-1002
    DOI: 10.1111/jors.12407
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    Cited by:

    1. Yu, Danlin & Murakami, Daisuke & Zhang, Yaojun & Wu, Xiwei & Li, Ding & Wang, Xiaoxi & Li, Guangdong, 2020. "Investigating high-speed rail construction's support to county level regional development in China: An eigenvector based spatial filtering panel data analysis," Transportation Research Part B: Methodological, Elsevier, vol. 133(C), pages 21-37.
    2. Wang, Jiating & Cai, Siyuan, 2020. "The construction of high-speed railway and urban innovation capacity: Based on the perspective of knowledge Spillover," China Economic Review, Elsevier, vol. 63(C).
    3. Xiaoliang Wang & Danlin Yu & Chunhua Yuan, 2021. "Complementary Development between China and Sub-Sahara Africa: Examining China’s Mining Investment Strategies in Africa," Sustainability, MDPI, vol. 13(21), pages 1-19, October.
    4. Shuai Liu & Guoxin Jiang & Le Chang & Lin Wang, 2022. "Can the Smart City Pilot Policy Promote High-Quality Economic Development? A Quasi-Natural Experiment Based on 239 Cities in China," Sustainability, MDPI, vol. 14(23), pages 1-17, November.

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