IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0307947.html
   My bibliography  Save this article

A study on the impact of high-speed rail on the consumption structure of urban and rural residents in China

Author

Listed:
  • Yafei Xu
  • Guoli Ou

Abstract

Consumption is crucial to individual well-being and national economic development. This study investigates whether high-speed rail (HSR) influences consumption expenditure (CE) and consumption structure (CS) of urban and rural Chinese citizens. Using panel data from 2003 to 2019 and econometric models, this study finds that: (1) HSR significantly increases CE for both urban and rural residents, promotes CS upgrades in rural areas, but inhibits CS upgrades in urban areas. These results remain robust after extensive testing. (2) HSR’s impact on urban consumption is relatively focused and singular, whereas its effect on rural consumption is dispersed and extensive. Additionally, the impact of HSR on consumption exhibited significant delays and regional characteristics. (3) Mediation analysis reveals that HSR significantly enhances urban and rural CE and facilitates rural CS upgrades through market, price, and income effects. However, it also triggers housing price increases, impeding urban CS upgrades. This study provides important references for the government to optimize transportation infrastructure investments, promote balanced economic development between urban and rural areas, and enhance residents’ well-being.

Suggested Citation

  • Yafei Xu & Guoli Ou, 2024. "A study on the impact of high-speed rail on the consumption structure of urban and rural residents in China," PLOS ONE, Public Library of Science, vol. 19(10), pages 1-23, October.
  • Handle: RePEc:plo:pone00:0307947
    DOI: 10.1371/journal.pone.0307947
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0307947
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0307947&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0307947?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
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Zhang, Yijia & Cheng, Lu, 2023. "The role of transport infrastructure in economic growth: Empirical evidence in the UK," Transport Policy, Elsevier, vol. 133(C), pages 223-233.
    3. Nakagawa, Dai & Hatoko, Masatoshi, 2007. "Reevaluation of Japanese high-speed rail construction: Recent situation of the north corridor Shinkansen and its way to completion," Transport Policy, Elsevier, vol. 14(2), pages 150-164, March.
    4. 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.
    Full references (including those not matched with items on IDEAS)

    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. Hiramatsu, Tomoru, 2023. "Inter-metropolitan regional migration galvanized by high-speed rail: A simulation analysis of the Linear Chuo Shinkansen line in Japan," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    2. Tian, Zhihua & Hu, An & Yang, Zhen & Lin, Yongran, 2024. "Highway networks and regional poverty: Evidence from Chinese counties," Structural Change and Economic Dynamics, Elsevier, vol. 69(C), pages 224-231.
    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. 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.
    6. Wang, Yao & Dong, Weijia, 2022. "How China's high-speed rail promote local economy: New evidence from county-level panel data," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 67-81.
    7. Xinyuan Wang & Daisheng Tang & Yahong Liu & Tao Bu, 2023. "The impact of high-speed railway on labor market between the North and South: evidence from China," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 71(2), pages 487-515, October.
    8. Liang, Yutian & Zhou, Keyang & Li, Xun & Zhou, Zhengke & Sun, Wei & Zeng, Jiaqi, 2020. "Effectiveness of high-speed railway on regional economic growth for less developed areas," Journal of Transport Geography, Elsevier, vol. 82(C).
    9. Gao, Yanyan & Zheng, Jianghuai, 2020. "The impact of high-speed rail on innovation: An empirical test of the companion innovation hypothesis of transportation improvement with China’s manufacturing firms," World Development, Elsevier, vol. 127(C).
    10. Jia, Shanming & Zhou, Chunyu & Qin, Chenglin, 2017. "No difference in effect of high-speed rail on regional economic growth based on match effect perspective?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 144-157.
    11. 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.
    12. Hiramatsu, Tomoru, 2018. "Job and population location choices and economic scale as effects of high speed rail: Simulation analysis of Shinkansen in Kyushu, Japan," Research in Transportation Economics, Elsevier, vol. 72(C), pages 15-26.
    13. Meng, Xia & Ding, Tao & Wang, Haisen, 2023. "Incentives for local government expenditures on people’s livelihood: the role of high-speed rail," Socio-Economic Planning Sciences, Elsevier, vol. 89(C).
    14. Qipeng Sun & Xiu Wang & Fei Ma & Yanhu Han & Qianqian Cheng, 2019. "Synergetic Effect and Spatial-Temporal Evolution of Railway Transportation in Sustainable Development of Trade: An Empirical Study Based on the Belt and Road," Sustainability, MDPI, vol. 11(6), pages 1-22, March.
    15. Jun‐Teng Ma & Tie‐Ying Liu, 2022. "Does the high‐speed rail network improve economic growth?," Papers in Regional Science, Wiley Blackwell, vol. 101(1), pages 183-208, February.
    16. Diane Coyle & Marianne Sensier, 2020. "The imperial treasury: appraisal methodology and regional economic performance in the UK," Regional Studies, Taylor & Francis Journals, vol. 54(3), pages 283-295, March.
    17. Bono, Pierre-Henri & David, Quentin & Desbordes, Rodolphe & Py, Loriane, 2022. "Metro infrastructure and metropolitan attractiveness," Regional Science and Urban Economics, Elsevier, vol. 93(C).
    18. Minhua Yang & Rui Yao & Linkun Ma & Ang Yang, 2024. "Towards a Low-Carbon Target: How the High-Speed Rail and Its Expansion Affects Industrial Concentration and Macroeconomic Conditions: Evidence from Chinese Urban Agglomerations," Sustainability, MDPI, vol. 16(19), pages 1-18, September.
    19. 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.
    20. Evgeny N. SMIRNOV & Sergey A. LUKYANOV, 2019. "Assessment of the transforming impact of global value chains on international trade," Upravlenets, Ural State University of Economics, vol. 10(3), pages 36-46, July.

    More about this item

    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:plo:pone00:0307947. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.