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Increasing Returns in Transportation and the Formation of Hubs

Author

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  • Tomoya Mori

    (Institute of Economic Research, Kyoto University)

Abstract

The spatial structure of transport network is subject to increasing returns in transportation, distance and density economies. Transport costs between locations are thus in general endogenous, and are determined by the interaction between the spatial distribution of transport demand and these increasing returns, although such interdependence has long been ignored in regional models. By using a simple model, the present paper explains the formation of transport hubs endogenously, and shows how the balance of these two types of increasing returns influences the spatial distribution of transport hubs.

Suggested Citation

  • Tomoya Mori, 2011. "Increasing Returns in Transportation and the Formation of Hubs," KIER Working Papers 770, Kyoto University, Institute of Economic Research.
    • Handle: RePEc:kyo:wpaper:770
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    File URL: http://www.kier.kyoto-u.ac.jp/DP/DP770.pdf
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    Cited by:

    1. Hans R A Koster & Takatoshi Tabuchi & Jacques-François Thisse, 2022. "To be connected or not to be connected? The role of long-haul economies [Do rural roads create pathways out of poverty? Evidence from India]," Journal of Economic Geography, Oxford University Press, vol. 22(4), pages 711-753.
    2. Stef Proost & Jacques-François Thisse, 2019. "What Can Be Learned from Spatial Economics?," Journal of Economic Literature, American Economic Association, vol. 57(3), pages 575-643, September.
    3. Xu, Hangtian, 2016. "Domestic railroad infrastructure and exports: Evidence from the Silk Route," China Economic Review, Elsevier, vol. 41(C), pages 129-147.
    4. Lankhuizen, Maureen & Boonstra, Harm Jan & de Blois, Chris, 2020. "Unpacking freight – Identifying conditions driving regional freight transport in statistics," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 415-435.
    5. Hangtian Xu, 2014. "Revisit' the Silk Road: A Quasi-Experiment Approach Estimating the Effects of Railway Speed-Up Project on China-Central Asia Exports," ERSA conference papers ersa14p78, European Regional Science Association.
    6. Ahmed Saber Mahmud, 2021. "How do All Roads Lead to Rome? The Story of Transportation Network Inducing Agglomeration," Networks and Spatial Economics, Springer, vol. 21(2), pages 419-464, June.
    7. Huang, Hai-Jun & Xia, Tian & Tian, Qiong & Liu, Tian-Liang & Wang, Chenlan & Li, Daqing, 2020. "Transportation issues in developing China's urban agglomerations," Transport Policy, Elsevier, vol. 85(C), pages 1-22.
    8. Xu, Hangtian & Itoh, Hidekazu, 2018. "Density economies and transport geography: Evidence from the container shipping industry," Journal of Urban Economics, Elsevier, vol. 105(C), pages 121-132.
    9. Zhigang Li & Hangtian Xu, 2018. "High‐speed railroads and economic geography: Evidence from Japan," Journal of Regional Science, Wiley Blackwell, vol. 58(4), pages 705-727, September.
    10. Xu, Hangtian & Itoh, Hidekazu, 2016. "Density economies and transport geography: Evidence from the container shipping industry," MPRA Paper 75580, University Library of Munich, Germany.
    11. Ahmed Saber Mahmud, 2022. "Demand-pull versus cost-push: monocentric equilibrium in a spatial network," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 69(2), pages 455-485, October.

    More about this item

    Keywords

    Formation of a transport hub; Distance economies of transportation; Density economies of transportation;
    All these keywords.

    JEL classification:

    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • R49 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Other

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