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Evaluating the Regional Economic Impacts of High-Speed Rail and Interregional Disparity: A Combined Model of I/O and Spatial Interaction

Author

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  • Shuji Sugimori

    (Department of Constructional Engineering, Graduate School of Engineering, Chubu University, Kasugai 487-8501, Aichi, Japan)

  • Yoshitsugu Hayashi

    (Center for Sustainable Development and Global Smart City, Chubu University, Kasugai 487-8501, Aichi, Japan)

  • Hiroyuki Takeshita

    (Center for Sustainable Development and Global Smart City, Chubu University, Kasugai 487-8501, Aichi, Japan)

  • Tomohiko Isobe

    (Department of Constructional Engineering, Graduate School of Engineering, Chubu University, Kasugai 487-8501, Aichi, Japan)

Abstract

Among the benefits of high-speed rails (HSRs) discussed from various aspects, indirect benefits may contribute to medium- and long-term economic impacts such as an increase in service supply and gross regional product (GRP). In order to estimate the economic impacts, we modeled I/O–spatial interaction by combining the inter–industrial transactions shown on the I/O table with the geospatial distance decay of economic mass through passenger transportation. In addition, the regional economic impacts, as a part of the indirect benefits, were evaluated by the model applied to the Mumbai–Ahmedabad High-Speed Rail (MAHSR) corridor in India, which is an emerging country with remarkable economic growth. The results showed the economic impacts on each zone and each industry along the MAHSR corridor as a relative distribution. The unique feature of this approach is that it is possible to evaluate the geographic distributions and interregional disparity of economic impacts by combining the industrial I/O relationships with the changes in passenger accessibility associated with a large-scale transportation project such as an HSR. Moreover, this method can be applied to various countries and regions where detailed I/O statistical data, such as interregional I/O tables, are difficult to obtain, as well as various transportation project evaluations taking into account interregional equity.

Suggested Citation

  • Shuji Sugimori & Yoshitsugu Hayashi & Hiroyuki Takeshita & Tomohiko Isobe, 2022. "Evaluating the Regional Economic Impacts of High-Speed Rail and Interregional Disparity: A Combined Model of I/O and Spatial Interaction," Sustainability, MDPI, vol. 14(18), pages 1-13, September.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:18:p:11545-:d:915011
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    1. Rice, Patricia & Venables, Anthony J. & Patacchini, Eleonora, 2006. "Spatial determinants of productivity: Analysis for the regions of Great Britain," Regional Science and Urban Economics, Elsevier, vol. 36(6), pages 727-752, November.
    2. Komikado, Hiroshi & Morikawa, So & Bhatt, Ayushman & Kato, Hironori, 2021. "High-speed rail, inter-regional accessibility, and regional innovation: Evidence from Japan," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    3. Vickerman, Roger, 2015. "High-speed rail and regional development: the case of intermediate stations," Journal of Transport Geography, Elsevier, vol. 42(C), pages 157-165.
    4. Taotao Deng, 2013. "Impacts of Transport Infrastructure on Productivity and Economic Growth: Recent Advances and Research Challenges," Transport Reviews, Taylor & Francis Journals, vol. 33(6), pages 686-699, November.
    5. Yi, Yoojin & Kim, Euijune, 2018. "Spatial economic impact of road and railroad accessibility on manufacturing output: Inter-modal relationship between road and railroad," Journal of Transport Geography, Elsevier, vol. 66(C), pages 144-153.
    6. Chen, Chia-Lin & Hall, Peter, 2012. "The wider spatial-economic impacts of high-speed trains: a comparative case study of Manchester and Lille sub-regions," Journal of Transport Geography, Elsevier, vol. 24(C), pages 89-110.
    7. Chia-Lin Chen & Anastasia Loukaitou-Sideris & José M. de Ureña & Roger Vickerman, 2019. "Spatial short and long-term implications and planning challenges of high-speed rail: a literature review framework for the special issue," European Planning Studies, Taylor & Francis Journals, vol. 27(3), pages 415-433, March.
    8. Li, Xijing & Huang, Bo & Li, Rongrong & Zhang, Yipei, 2016. "Exploring the impact of high speed railways on the spatial redistribution of economic activities - Yangtze River Delta urban agglomeration as a case study," Journal of Transport Geography, Elsevier, vol. 57(C), pages 194-206.
    9. Tavasszy, L.A. & Thissen, M.J.P.M. & Oosterhaven, J., 2011. "Challenges in the application of spatial computable general equilibrium models for transport appraisal," Research in Transportation Economics, Elsevier, vol. 31(1), pages 12-18.
    10. Hideo Nakamura & Yoshitsugu Hayashi & Kazuaki Miyamoto, 1983. "A Land Use‐Transport Model For Metropolitan Areas," Papers in Regional Science, Wiley Blackwell, vol. 51(1), pages 43-63, January.
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    1. Piotr Rosik & Julia Wójcik, 2022. "Transport Infrastructure and Regional Development: A Survey of Literature on Wider Economic and Spatial Impacts," Sustainability, MDPI, vol. 15(1), pages 1-19, December.

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