IDEAS home Printed from https://ideas.repec.org/a/eee/soceps/v87y2023ipbs0038012123000836.html
   My bibliography  Save this article

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

Author

Listed:
  • Wang, Chao
  • Chen, Junjing
  • Li, Boyan
  • Chen, Nengcheng
  • Wang, Wei

Abstract

The Shanghai–Kunming high-speed railway spans the eastern, central, and western regions of China and is an important "horizontal" in the "eight vertical and eight horizontal" railway network of China. This paper estimates the direct impact of opening a high-speed railway on the spatial patterns of regional economic development along the route by integrating GIS technology, spatial panel data models, and the entropy method. The results show that the high-speed railway can significantly increase the economic aggregate and urbanization rates along the route and promote the upgrading of industrial structures, but it has a limited effect on the economic growth rate, showing a weak trend. In terms of spatial patterns, the high-speed railway significantly improves regional accessibility, the strength of economic ties, and economic potential along the route. The regional economy is characterized by weak spatial agglomeration and presents a trend of balanced development. In general, although the economic effect of HSR for the economically lagged regions is smaller in the short term than that in the economically and less economically developed regions, the high-speed railway has the greatest impact on regional economic development and spatial patterns in economically backward areas, thus the economically backward regions have a greater posterior advantage, which is conducive to balancing regional economies and narrowing regional differences.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:soceps:v:87:y:2023:i:pb:s0038012123000836
    DOI: 10.1016/j.seps.2023.101583
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0038012123000836
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.seps.2023.101583?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. Fernand Martin, 1997. "Justifying a high-speed rail project: social value vs. regional growth," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 31(2), pages 155-174.
    2. Stephanie Riegg Cellini & Nicholas Turner, 2019. "Gainfully Employed?: Assessing the Employment and Earnings of For-Profit College Students Using Administrative Data," Journal of Human Resources, University of Wisconsin Press, vol. 54(2), pages 342-370.
    3. Kim, Hyojin & Sultana, Selima, 2015. "The impacts of high-speed rail extensions on accessibility and spatial equity changes in South Korea from 2004 to 2018," Journal of Transport Geography, Elsevier, vol. 45(C), pages 48-61.
    4. 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.
    5. Shi, Wenming & Lin, Kun-Chin & McLaughlin, Heather & Qi, Guanqiu & Jin, Mengjie, 2020. "Spatial distribution of job opportunities in China: Evidence from the opening of the high-speed rail," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 138-147.
    6. Yu, Wenjing & Yao, Yansang, 2019. "The Route of Development in intra-regional Income Equality via High-Speed Rail: Evidence from China," 2019 Annual Meeting, July 21-23, Atlanta, Georgia 291299, Agricultural and Applied Economics Association.
    7. Chen, Zhenhua & Haynes, Kingsley E., 2017. "Impact of high-speed rail on regional economic disparity in China," Journal of Transport Geography, Elsevier, vol. 65(C), pages 80-91.
    8. 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.
    9. Martínez Sánchez-Mateos, Héctor S. & Givoni, Moshe, 2012. "The accessibility impact of a new High-Speed Rail line in the UK – a preliminary analysis of winners and losers," Journal of Transport Geography, Elsevier, vol. 25(C), pages 105-114.
    10. Chia-Lin Chen & Roger Vickerman, 2017. "Can transport infrastructure change regions’ economic fortunes? Some evidence from Europe and China," Regional Studies, Taylor & Francis Journals, vol. 51(1), pages 144-160, January.
    11. Chen, Zhenhua & Xue, Junbo & Rose, Adam Z. & Haynes, Kingsley E., 2016. "The impact of high-speed rail investment on economic and environmental change in China: A dynamic CGE analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 92(C), pages 232-245.
    12. Wang, De-gen & Niu, Yu & Qian, Jia, 2018. "Evolution and optimization of China's urban tourism spatial structure: A high speed rail perspective," Tourism Management, Elsevier, vol. 64(C), pages 218-232.
    13. Ortega, Emilio & López, Elena & Monzón, Andrés, 2012. "Territorial cohesion impacts of high-speed rail at different planning levels," Journal of Transport Geography, Elsevier, vol. 24(C), pages 130-141.
    14. Xiaomin Wang & Wenxin Zhang, 2019. "Efficiency and Spatial Equity Impacts of High-Speed Rail on the Central Plains Economic Region of China," Sustainability, MDPI, vol. 11(9), pages 1-18, May.
    15. Bruzzone, Francesco & Cavallaro, Federico & Nocera, Silvio, 2023. "The effects of high-speed rail on accessibility and equity: Evidence from the Turin-Lyon case-study," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    16. Ren, Xiaohong & Chen, Zhenhua & Wang, Fang & Dan, Ting & Wang, Wei & Guo, Xiaotong & Liu, Chunhua, 2020. "Impact of high-speed rail on social equity in China: Evidence from a mode choice survey," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 422-441.
    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. Shi, Kehan & Wang, Jinfang, 2024. "The influence and spatial effects of high-speed railway construction on urban industrial upgrading: Based on an industrial transfer perspective," Socio-Economic Planning Sciences, Elsevier, vol. 93(C).
    2. Liu, Xize & Chen, Wendong & Chen, Xuewu & Chen, Jingxu & Cheng, Long, 2023. "Analyzing sustainable competitiveness of inter-city coach from the impact of high-speed railway opening in Jiangsu Province, China," Socio-Economic Planning Sciences, Elsevier, vol. 89(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. Bruzzone, Francesco & Cavallaro, Federico & Nocera, Silvio, 2023. "The effects of high-speed rail on accessibility and equity: Evidence from the Turin-Lyon case-study," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    2. Yan, Sen & Sun, Xinyu & Zhang, Yurong, 2024. "High-speed railway ripples on the greenness: Insight from urban green vegetation cover," Transportation Research Part A: Policy and Practice, Elsevier, vol. 179(C).
    3. Li, Xiaolong & Wu, Zongfa & Zhao, Xingchen, 2020. "Economic effect and its disparity of high speed rail in China: A study of mechanism based on synthesis control method," Transport Policy, Elsevier, vol. 99(C), pages 262-274.
    4. 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.
    5. Yu, Danlin & Zhang, Yaojun & Wu, Xiwei & Li, Ding & Li, Guangdong, 2021. "The varying effects of accessing high-speed rail system on China’s county development: A geographically weighted panel regression analysis," Land Use Policy, Elsevier, vol. 100(C).
    6. Weichen Liu & Jiaying Guo & Wei Wu & Youhui Cao, 2022. "The evolution of regional spatial structure influenced by passenger rail service: A case study of the Yangtze River Delta," Growth and Change, Wiley Blackwell, vol. 53(2), pages 651-679, June.
    7. Guojie Ma & Jinxing Hu & Riquan Zhang, 2023. "Spatial-Temporal Distribution and Coupling Relationship of High-Speed Railway and Economic Networks in Metropolitan Areas of China," Land, MDPI, vol. 12(6), pages 1-23, June.
    8. Jin, Wenwan & Zhu, Shengjun, 2023. "High-speed rail network and regional convergence/divergence in industrial structure," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    9. 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.
    10. 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.
    11. Yu, Danlin & Murakami, Daisuke & Zhang, Yaojun & Wu, Xiwei & Li, Ding & Wang, Xiaoxi & Li, Guangdong, 2020. "Investigating high-speed rail construction's support to county level regional development in China: An eigenvector based spatial filtering panel data analysis," Transportation Research Part B: Methodological, Elsevier, vol. 133(C), pages 21-37.
    12. 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.
    13. 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).
    14. Tanaka, Koichi, 2023. "Impacts of the opening of the maglev railway on daily accessibility in Japan: A comparative analysis with that of the Shinkansen," Journal of Transport Geography, Elsevier, vol. 106(C).
    15. Chen, Zhenhua, 2023. "Socioeconomic Impacts of high-speed rail: A bibliometric analysis," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    16. 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.
    17. 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.
    18. Jin, Mengjie & Gu, Ruyue & Li, Kevin X. & Shi, Wenming & Xiao, Yi, 2024. "Heterogeneous impacts of the high-speed railway network on urban–rural income disparity: Spatiotemporal evidence from Yangtze River Delta of China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 183(C).
    19. Huang, Ying & Xu, Wangtu (Ato), 2021. "Spatial and temporal heterogeneity of the impact of high-speed railway on urban economy: Empirical study of Chinese cities," Journal of Transport Geography, Elsevier, vol. 91(C).
    20. Francesca Pagliara, 2021. "Consumer’s Surplus: An Equity Measure of High Speed Rail Investments," Sustainability, MDPI, vol. 13(8), pages 1-8, April.

    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:soceps:v:87:y:2023:i:pb:s0038012123000836. 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/seps .

    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.