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Railway speedup and firms’ total factor productivity

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  • Yue, Song
  • Nan, Sha

Abstract

In the last decade, China’s HSR construction has caused railway network speedup and we provide evidence that China’s railway speedup increases firm TFP. In railway network, cities’ connectedness with nearest metropolis is positively related to local firms’ TFP. We find that this positive relationship holds in both provincial capital cities subsample and ordinary prefecture-level cities subsample. Our result also suggests that railway speedup can impact on cities that are in medium distance from metropolises, which is consistent with our travelling experience.

Suggested Citation

  • Yue, Song & Nan, Sha, 2019. "Railway speedup and firms’ total factor productivity," Economics Letters, Elsevier, vol. 178(C), pages 21-23.
  • Handle: RePEc:eee:ecolet:v:178:y:2019:i:c:p:21-23
    DOI: 10.1016/j.econlet.2019.01.015
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    References listed on IDEAS

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    1. Dave Donaldson & Richard Hornbeck, 2016. "Railroads and American Economic Growth: A "Market Access" Approach," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(2), pages 799-858.
    2. Baum-Snow, Nathaniel & Henderson, J. Vernon & Turner, Matthew A. & Zhang, Qinghua & Brandt, Loren, 2020. "Does investment in national highways help or hurt hinterland city growth?," Journal of Urban Economics, Elsevier, vol. 115(C).
    3. Wang, Xu & Xie, Zhuan & Zhang, Xiaobo & Huang, Yiping, 2018. "Roads to innovation: Firm-level evidence from People's Republic of China (PRC)," China Economic Review, Elsevier, vol. 49(C), pages 154-170.
    4. Yu Qin, 2017. "‘No county left behind?’ The distributional impact of high-speed rail upgrades in China," Journal of Economic Geography, Oxford University Press, vol. 17(3), pages 489-520.
    5. Mariassunta Giannetti & Guanmin Liao & Xiaoyun Yu, 2015. "The Brain Gain of Corporate Boards: Evidence from China," Journal of Finance, American Finance Association, vol. 70(4), pages 1629-1682, August.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Zhao, Junfeng & Yan, Jinling & Ran, Qiying & Yang, Xiaodong & Su, Xufeng & Shen, Jianliang, 2022. "Does the opening of high-speed railways improve urban livability? Evidence from a quasi-natural experiment in China," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    2. Zhang, Weike & Meng, Jia & Tian, Xiaoli, 2020. "Does de-capacity policy enhance the total factor productivity of China's coal companies? A Regression Discontinuity design," Resources Policy, Elsevier, vol. 68(C).

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    More about this item

    Keywords

    Infrastructure; High-speed railway; Total factor productivity;
    All these keywords.

    JEL classification:

    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • H54 - Public Economics - - National Government Expenditures and Related Policies - - - Infrastructures

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