IDEAS home Printed from https://ideas.repec.org/a/taf/eurpls/v27y2019i3p483-512.html
   My bibliography  Save this article

Measuring the regional economic impacts of high-speed rail using a dynamic SCGE model: the case of China

Author

Listed:
  • Zhenhua Chen

Abstract

High-Speed Rail (HSR) has experienced a rapid development in many countries in the world, but how can planners and decision makers better understand the regional economic impact of the gigantic system remains a challenge. This paper introduces a comprehensive framework to assess the regional economic impacts of HSR using China as an example. The regional economic impacts of HSR are evaluated under a dynamic and spatial computable general equilibrium-modelling framework. Such a framework provides a comprehensive assessment of the impacts in terms of both temporal and spatial variations. The assessment provides an ex post evaluation of the impacts based on the actual data reflecting the infrastructure development and operation in the period 2002–2013. The research findings confirm that HSR infrastructure development in China has generated a positive regional economic impact. The growth rate of the real GDP stimulated by rail infrastructure investment were found particularly substantial in the southwest, but relatively small in the developed eastern regions. Conversely, the real GDP level change was found to be relatively large in the developed regions, such as the south and the east. The disaggregated analysis shows that the contributions to regional economic growth are primarily derived from the productivity increase in rail transport sector and the stimulus effect of rail infrastructure capital investment. The research findings provide implications for future HSR development in both Europe and China.

Suggested Citation

  • Zhenhua Chen, 2019. "Measuring the regional economic impacts of high-speed rail using a dynamic SCGE model: the case of China," European Planning Studies, Taylor & Francis Journals, vol. 27(3), pages 483-512, March.
    • Handle: RePEc:taf:eurpls:v:27:y:2019:i:3:p:483-512
    DOI: 10.1080/09654313.2018.1562655
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/09654313.2018.1562655
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/09654313.2018.1562655?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.

    Citations

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


    Cited by:

    1. Chen, Zhenhua, 2023. "Socioeconomic Impacts of high-speed rail: A bibliometric analysis," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    2. Wenyi Qiao & Xianjin Huang, 2021. "Change in Urban Land Use Efficiency in China: Does the High-Speed Rail Make a Difference?," IJERPH, MDPI, vol. 18(19), pages 1-16, September.
    3. Wang, Chao & Chen, Junjing & Li, Boyan & Chen, Nengcheng & Wang, Wei, 2023. "Impact of high-speed railway construction on spatial patterns of regional economic development along the route: A case study of the Shanghai–Kunming high-speed railway," Socio-Economic Planning Sciences, Elsevier, vol. 87(PB).
    4. Betarelli, Admir Antonio & Domingues, Edson Paulo & Hewings, Geoffrey John Dennis, 2020. "Transport policy, rail freight sector and market structure: The economic effects in Brazil," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 1-23.
    5. Li, Zekun & Chen, Zhenhua, 2023. "Predicting the future development scale of high-speed rail through the urban scaling law," Transportation Research Part A: Policy and Practice, Elsevier, vol. 174(C).
    6. Tomoki Ishikura & Fuga Yokoyama, 2022. "Regional economic effects of the Ring Road project in the Greater Tokyo Area: A spatial CGE approach," Papers in Regional Science, Wiley Blackwell, vol. 101(4), pages 811-837, August.
    7. Li, Yan & Chen, Zhenhua, 2023. "Does transportation infrastructure accelerate factor outflow from shrinking cities? An evidence from China," Transport Policy, Elsevier, vol. 134(C), pages 180-190.
    8. Cascetta, Ennio & Cartenì, Armando & Henke, Ilaria & Pagliara, Francesca, 2020. "Economic growth, transport accessibility and regional equity impacts of high-speed railways in Italy: ten years ex post evaluation and future perspectives," Transportation Research Part A: Policy and Practice, Elsevier, vol. 139(C), pages 412-428.
    9. Enshou Zhang & Lei Chen & Pei Kuang & David G. Dickinson, 2023. "An Accessibility Measurement Based on Commuter Behaviour and Living Conditions: An Empirical Analysis of the High-Speed Railway Network in the East of China," Sustainability, MDPI, vol. 15(5), pages 1-29, February.
    10. Euijune Kim & Dongyeong Jin & Hojune Lee & Min Jiang, 2023. "The economic damage of COVID-19 on regional economies: an application of a spatial computable general equilibrium model to South Korea," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 71(1), pages 243-268, August.
    11. Li, Tao & Rong, Lili, 2021. "Impacts of service feature on vulnerability analysis of high-speed rail network," Transport Policy, Elsevier, vol. 110(C), pages 238-253.
    12. Mohsen Momenitabar & Zhila Dehdari Ebrahimi & Mohammad Arani, 2020. "A Systematic and Analytical Review of the Socioeconomic and Environmental Impact of the Deployed High-Speed Rail (HSR) Systems on the World," Papers 2003.04452, arXiv.org, revised Mar 2020.
    13. Betarelli Junior, Admir Antonio & Faria, Weslem Rodrigues & Gonçalves Montenegro, Rosa Livia & Bahia, Domitila Santos & Gonçalves, Eduardo, 2020. "Research and development, productive structure and economic effects: Assessing the role of public financing in Brazil," Economic Modelling, Elsevier, vol. 90(C), pages 235-253.
    14. Yang, Xutao & Wu, Jianhong & Zong, Yueqi & Wang, Chao, 2023. "Are China's HSR tariff affordable and economic equitable? An international comparison perspective," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    15. Mohsen Momenitabar & Raj Bridgelall & Zhila Dehdari Ebrahimi & Mohammad Arani, 2021. "Literature Review of Socioeconomic and Environmental Impacts of High-Speed Rail in the World," Sustainability, MDPI, vol. 13(21), pages 1-27, November.
    16. Di Matteo, Dante & Mariotti, Ilaria & Rossi, Federica, 2023. "Transport infrastructure and economic performance: An evaluation of the Milan-Bologna high-speed rail corridor," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    17. Betarelli Junior, Admir Antonio & Faria, Weslem Rodrigues & Proque, Andressa Lemes & Perobelli, Fernando Salgueiro & de Almeida Vale, Vinicius, 2021. "COVID-19, public agglomerations and economic effects: Assessing the recovery time of passenger transport services in Brazil," Transport Policy, Elsevier, vol. 110(C), pages 254-272.
    18. Huang, Yan & Zong, Huiming, 2020. "The spatial distribution and determinants of China’s high-speed train services," Transportation Research Part A: Policy and Practice, Elsevier, vol. 142(C), pages 56-70.
    19. 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).
    20. Yin, Ping & Lin, Zhibin & Prideaux, Bruce, 2019. "The impact of high-speed railway on tourism spatial structures between two adjoining metropolitan cities in China: Beijing and Tianjin," Journal of Transport Geography, Elsevier, vol. 80(C).
    21. Li, Yan & Chen, Zhenhua & Wang, Peng, 2020. "Impact of high-speed rail on urban economic efficiency in China," Transport Policy, Elsevier, vol. 97(C), pages 220-231.
    22. Jianing Xu & Weidong Li, 2023. "High-Speed Rail and Industrial Agglomeration: Evidence from China’s Urban Agglomerations," Land, MDPI, vol. 12(8), pages 1-18, August.
    23. Pengxia Shen & Ping Yin & Bingjie Niu, 2023. "Assessing the Combined Effects of Transportation Infrastructure on Regional Tourism Development in China Using a Spatial Econometric Model (GWPR)," Land, MDPI, vol. 12(1), pages 1-18, January.
    24. Jingjing Liu & Jing Wang & Tianlin Zhai & Zehui Li, 2022. "The Response of Ecologically Functional Land to Changes in Urban Economic Growth and Transportation Construction in China," IJERPH, MDPI, vol. 19(21), pages 1-17, November.
    25. Francesco De Fabiis & Alessandro Carmelo Mancuso & Fulvio Silvestri & Pierluigi Coppola, 2023. "Spatial Economic Impacts of the TEN-T Network Extension in the Adriatic and Ionian Region," Sustainability, MDPI, vol. 15(6), pages 1-15, March.

    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:taf:eurpls:v:27:y:2019:i:3:p:483-512. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/CEPS20 .

    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.