IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v12y2023i4p874-d1121957.html
   My bibliography  Save this article

The Impact of High-Speed Rail on Economic Development: A County-Level Analysis

Author

Listed:
  • Fangting Chi

    (College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China)

  • Haoying Han

    (College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China
    Center for Balance Architecture, Zhejiang University, Hangzhou 310058, China)

Abstract

High-speed rail has an important impact on the location choices of enterprises and the labor force, which is reflected in a complex space–time process. Previous studies have been unable to show the change characteristics between enterprises and the labor force at the county level. Therefore, based on the new economic geography theory, we first constructed a theoretical analysis framework to explore high-speed railway’s impact on county economy development and then obtained the two economic subdivision factors’ impacts: industrial enterprises and secondary labor force. Then, based on the panel data of 1791 county units in China from 2003 to 2019, the study constructed a multi-period PSM-DID model to empirically explore high-speed rail’s impact on the county’s agglomeration of industrial enterprises and secondary labor force. The results show that high-speed rail has a long-term negative effect on the county area’s agglomeration of industrial enterprises. From the perspective of the labor force, high-speed rail has a long-term and continuous positive effect on the agglomeration of the secondary labor force in county units.

Suggested Citation

  • Fangting Chi & Haoying Han, 2023. "The Impact of High-Speed Rail on Economic Development: A County-Level Analysis," Land, MDPI, vol. 12(4), pages 1-22, April.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:4:p:874-:d:1121957
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/12/4/874/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/12/4/874/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gilles Duranton & Diego Puga, 2001. "Nursery Cities: Urban Diversity, Process Innovation, and the Life Cycle of Products," American Economic Review, American Economic Association, vol. 91(5), pages 1454-1477, December.
    2. Dong, Xiaofang & Zheng, Siqi & Kahn, Matthew E., 2020. "The role of transportation speed in facilitating high skilled teamwork across cities," Journal of Urban Economics, Elsevier, vol. 115(C).
    3. Dave Donaldson, 2018. "Railroads of the Raj: Estimating the Impact of Transportation Infrastructure," American Economic Review, American Economic Association, vol. 108(4-5), pages 899-934, April.
    4. Shaw, Shih-Lung & Fang, Zhixiang & Lu, Shiwei & Tao, Ran, 2014. "Impacts of high speed rail on railroad network accessibility in China," Journal of Transport Geography, Elsevier, vol. 40(C), pages 112-122.
    5. Redding, Stephen J. & Turner, Matthew A., 2015. "Transportation Costs and the Spatial Organization of Economic Activity," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 1339-1398, Elsevier.
    6. 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.
    7. Luigi Zingales, 2000. "In Search of New Foundations," Journal of Finance, American Finance Association, vol. 55(4), pages 1623-1653, August.
    8. Verma, Ashish & Sudhira, H.S. & Rathi, Sujaya & King, Robin & Dash, Nibedita, 2013. "Sustainable urbanization using high speed rail (HSR) in Karnataka, India," Research in Transportation Economics, Elsevier, vol. 38(1), pages 67-77.
    9. Krugman, Paul, 1991. "Increasing Returns and Economic Geography," Journal of Political Economy, University of Chicago Press, vol. 99(3), pages 483-499, June.
    10. Gilles Duranton, 2007. "Urban Evolutions: The Fast, the Slow, and the Still," American Economic Review, American Economic Association, vol. 97(1), pages 197-221, March.
    11. Rosenthal, Stuart S. & Strange, William C., 2008. "The attenuation of human capital spillovers," Journal of Urban Economics, Elsevier, vol. 64(2), pages 373-389, September.
    12. 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).
    13. Trevor Tombe & Xiaodong Zhu, 2019. "Trade, Migration, and Productivity: A Quantitative Analysis of China," American Economic Review, American Economic Association, vol. 109(5), pages 1843-1872, May.
    14. Martin Huber & Andreas Steinmayr, 2021. "A Framework for Separating Individual-Level Treatment Effects From Spillover Effects," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(2), pages 422-436, March.
    15. J. Elhorst, 2008. "A spatiotemporal analysis of aggregate labour force behaviour by sex and age across the European Union," Journal of Geographical Systems, Springer, vol. 10(2), pages 167-190, June.
    16. Zheng, Longfei & Chang, Zheng & Martinez, Andrea González, 2022. "High-speed rail, market access, and the rise of consumer cities: Evidence from China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 454-470.
    17. Moshe Givoni, 2006. "Development and Impact of the Modern High‐speed Train: A Review," Transport Reviews, Taylor & Francis Journals, vol. 26(5), pages 593-611, January.
    18. Xuechen Meng & Shanlang Lin & Gui Ren, 2022. "The effect of HSR connection on urban cluster centrality: evidence from China," Applied Economics, Taylor & Francis Journals, vol. 54(27), pages 3088-3102, June.
    19. Benjamin Faber, 2014. "Trade Integration, Market Size, and Industrialization: Evidence from China's National Trunk Highway System," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(3), pages 1046-1070.
    20. Goodman-Bacon, Andrew, 2021. "Difference-in-differences with variation in treatment timing," Journal of Econometrics, Elsevier, vol. 225(2), pages 254-277.
    21. Callaway, Brantly & Sant’Anna, Pedro H.C., 2021. "Difference-in-Differences with multiple time periods," Journal of Econometrics, Elsevier, vol. 225(2), pages 200-230.
    22. Daniel F Heuermann & Johannes F Schmieder, 2019. "The effect of infrastructure on worker mobility: evidence from high-speed rail expansion in Germany," Journal of Economic Geography, Oxford University Press, vol. 19(2), pages 335-372.
    23. Komei Sasaki & Tadahiro Ohashi & Asao Ando, 1997. "High-speed rail transit impact on regional systems: does the Shinkansen contribute to dispersion?," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 31(1), pages 77-98.
    24. Wen, Mei, 2004. "Relocation and agglomeration of Chinese industry," Journal of Development Economics, Elsevier, vol. 73(1), pages 329-347, February.
    25. Chen, Deqiu & Ma, Yujing & Martin, Xiumin & Michaely, Roni, 2022. "On the fast track: Information acquisition costs and information production," Journal of Financial Economics, Elsevier, vol. 143(2), pages 794-823.
    26. Diao, Mi, 2018. "Does growth follow the rail? The potential impact of high-speed rail on the economic geography of China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 279-290.
    27. K. E. Haynes & C. Karlsson & U. Blum, 1997. "Introduction to the special issue The regional and urban effects of high-speed trains," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 31(1), pages 1-20.
    28. Shao, Shuai & Tian, Zhihua & Yang, Lili, 2017. "High speed rail and urban service industry agglomeration: Evidence from China's Yangtze River Delta region," Journal of Transport Geography, Elsevier, vol. 64(C), pages 174-183.
    29. Wang, Feng & Wei, Xianjin & Liu, Juan & He, Lingyun & Gao, Mengnan, 2019. "Impact of high-speed rail on population mobility and urbanisation: A case study on Yangtze River Delta urban agglomeration, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 127(C), pages 99-114.
    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. Jiaxin Wu & Jigang Zhang & Hongjuan Yang, 2023. "Sustainable Development of Farmers in Minority Areas after Poverty Alleviation Relocation: Based on an Improved Sustainable Livelihood Analysis Framework," Land, MDPI, vol. 12(5), pages 1-18, May.

    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. Liu, Mengsha & Jiang, Yan & Wei, Xiaokun & Ruan, Qingsong & Lv, Dayong, 2023. "Effect of high-speed rail on entrepreneurial activities: Evidence from China," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    2. Yahong Liu & Daisheng Tang & Tao Bu & Xinyuan Wang, 2022. "The spatial employment effect of high-speed railway: quasi-natural experimental evidence from China," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 69(2), pages 333-359, October.
    3. Chen, Fanglin & Hao, Xinyue & Chen, Zhongfei, 2021. "Can high-speed rail improve health and alleviate health inequality? Evidence from China," Transport Policy, Elsevier, vol. 114(C), pages 266-279.
    4. Yanyan Gao & Yongqing Nan & Shunfeng Song, 2022. "High‐speed rail and city tourism: Evidence from Tencent migration big data on two Chinese golden weeks," Growth and Change, Wiley Blackwell, vol. 53(3), pages 1012-1036, September.
    5. Jin, Wenwan & Zhu, Shengjun, 2023. "High-speed rail network and regional convergence/divergence in industrial structure," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    6. Meng, Xuechen & Lin, Shanlang & Zhu, Xiaochuan, 2018. "The resource redistribution effect of high-speed rail stations on the economic growth of neighbouring regions: Evidence from China," Transport Policy, Elsevier, vol. 68(C), pages 178-191.
    7. Haoran Zhang & Ying Chai & Xuyu Yang & Wenli Zhao, 2022. "High-Speed Rail and Urban Growth Disparity: Evidence from China," Sustainability, MDPI, vol. 14(13), pages 1-13, July.
    8. Nannan Yu & Tianhang Cui & Si Lv, 2023. "Does the High-Speed Rail Improve Employment in Peripheral Cities? Evidence From China’s Beijing–Shanghai HSR Line," SAGE Open, , vol. 13(4), pages 21582440231, December.
    9. Liu, Jingyang & Yang, Haoran, 2023. "Income allocation and distribution along with high-speed rail development in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 175(C).
    10. 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.
    11. Junhui Shi & Fang Wang, 2022. "The Effect of High-Speed Rail on Cropland Abandonment in China," Land, MDPI, vol. 11(7), pages 1-16, July.
    12. 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).
    13. Lisha Wang & Jian Wang & Xuepeng Qian, 2023. "Does the bullet train exacerbate urban shrinkage? Lessons from Japan," Papers in Regional Science, Wiley Blackwell, vol. 102(1), pages 187-212, February.
    14. Dongxiao Niu & Weizeng Sun & Siqi Zheng, 2020. "Travel costs, trade, and market segmentation: Evidence from China's high‐speed railway," Papers in Regional Science, Wiley Blackwell, vol. 99(6), pages 1799-1825, December.
    15. Liu, Xueli & Jiang, Chunxia & Wang, Feng & Yao, Shujie, 2021. "The impact of high-speed railway on urban housing prices in China: A network accessibility perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 152(C), pages 84-99.
    16. Baek, Jisun & Park, WooRam, 2022. "The impact of improved passenger transport system on manufacturing plant productivity," Regional Science and Urban Economics, Elsevier, vol. 96(C).
    17. Yang, Xiaolan & Wang, Rui & Guo, Dongmei & Sun, Weizeng, 2020. "The reconfiguration effect of China's high-speed railway on intercity connection ——A study based on media attention index," Transport Policy, Elsevier, vol. 95(C), pages 47-56.
    18. Diao, Mi, 2018. "Does growth follow the rail? The potential impact of high-speed rail on the economic geography of China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 279-290.
    19. Jin, Mengjie & Lin, Kun-Chin & Shi, Wenming & Lee, Paul T.W. & Li, Kevin X., 2020. "Impacts of high-speed railways on economic growth and disparity in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 158-171.
    20. Wang, Feng & Wei, Xianjin & Liu, Juan & He, Lingyun & Gao, Mengnan, 2019. "Impact of high-speed rail on population mobility and urbanisation: A case study on Yangtze River Delta urban agglomeration, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 127(C), pages 99-114.

    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:gam:jlands:v:12:y:2023:i:4:p:874-:d:1121957. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.