IDEAS home Printed from https://ideas.repec.org/a/eee/ecolet/v178y2019icp21-23.html
   My bibliography  Save this article

Railway speedup and firms’ total factor productivity

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0165176519300229
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.econlet.2019.01.015?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Das, Abhiman & Ghani, Ejaz & Grover, Arti & Kerr, William & Nanda, Ramana, 2024. "JUE insight: Infrastructure and Finance: Evidence from India’s GQ highway network," Journal of Urban Economics, Elsevier, vol. 142(C).
    2. Xiaoli Hu & Jieping Chen & Shanlang Lin, 2023. "Influence from highways’ development on green technological innovation: the case of Yangtze River economic belt in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(10), pages 11095-11120, October.
    3. Koster, Hans & Hayakawa, Kazunobu & Thisse, Jacques-François, 2021. "High-speed Rail and the Spatial Distribution of Economic Activity: Evidence from Japan's Shinkansen," CEPR Discussion Papers 15771, C.E.P.R. Discussion Papers.
    4. He, Guojun & Xie, Yang & Zhang, Bing, 2020. "Expressways, GDP, and the environment: The case of China," Journal of Development Economics, Elsevier, vol. 145(C).
    5. Egger, Peter H. & Loumeau, Gabriel & Loumeau, Nicole, 2023. "China's dazzling transport-infrastructure growth: Measurement and effects," Journal of International Economics, Elsevier, vol. 142(C).
    6. Yanyan Gao & Xinping Wang, 2023. "Chinese agriculture in the age of high‐speed rail: Effects on agricultural value added and food output," Agribusiness, John Wiley & Sons, Ltd., vol. 39(2), pages 387-405, March.
    7. Chang, Zheng & Zheng, Longfei, 2022. "High-speed rail and the spatial pattern of new firm births: Evidence from China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 373-386.
    8. Wu, Mingqin & Yu, Linhui & Zhang, Junsen, 2023. "Road expansion, allocative efficiency, and pro-competitive effect of transport infrastructure: Evidence from China," Journal of Development Economics, Elsevier, vol. 162(C).
    9. Okamoto, Chigusa & Sato, Yasuhiro, 2021. "Impacts of high-speed rail construction on land prices in urban agglomerations: Evidence from Kyushu in Japan," Journal of Asian Economics, Elsevier, vol. 76(C).
    10. Yang, Xuehui & Zhang, Huirong & Lin, Shanlang & Zhang, Jiaping & Zeng, Jianlong, 2021. "Does high-speed railway promote regional innovation growth or innovation convergence?," Technology in Society, Elsevier, vol. 64(C).
    11. Stephan Heblich & Stephen J Redding & Daniel M Sturm, 2020. "The Making of the Modern Metropolis: Evidence from London," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(4), pages 2059-2133.
    12. Stephan Maurer & Ferdinand Rauch, 2023. "Economic geography aspects of the Panama Canal," Oxford Economic Papers, Oxford University Press, vol. 75(1), pages 142-162.
    13. Yoshifumi Konishi & Akari Ono, 2024. "Do Winners Win More from Transport Megaprojects? Evidence from the Great Seto Bridges in Japan," Keio-IES Discussion Paper Series 2024-003, Institute for Economics Studies, Keio University.
    14. Xu, Yang & Yang, Xi, 2021. "Access to ports and the welfare gains from domestic transportation infrastructure," Journal of Urban Economics, Elsevier, vol. 126(C).
    15. Brooks, Leah & Gendron-Carrier, Nicolas & Rua, Gisela, 2021. "The local impact of containerization," Journal of Urban Economics, Elsevier, vol. 126(C).
    16. Fenske, James & Kala, Namrata & Wei, Jinlin, 2023. "Railways and cities in India," Journal of Development Economics, Elsevier, vol. 161(C).
    17. Shujie Yao & Jing Fang & Hongbo He, 2020. "Can Time–Space Compression Promote Urban Economic Growth? Evidence from China's High‐speed Rail Projects," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 28(5), pages 90-117, September.
    18. Li, Chunying & Zhang, Jinning & Lyu, Yanwei, 2022. "Does the opening of China railway express promote urban total factor productivity? New evidence based on SDID and SDDD model," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).
    19. Howell, Anthony, 2020. "Minimum wage impacts on Han-minority Workers’ wage distribution and inequality in urban china," Journal of Urban Economics, Elsevier, vol. 115(C).
    20. Xiaole Wang & Feng Dong & Yuling Pan & Yajie Liu, 2022. "Transport Infrastructure, High-Quality Development and Industrial Pollution: Fresh Evidence from China," IJERPH, MDPI, vol. 19(15), pages 1-24, August.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecolet:v:178:y:2019:i:c:p:21-23. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ecolet .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.