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Spatial Price Equilibrium And The Transport Sector: A Trade‐Consistent Scge Model

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  • Asao Ando
  • Bo Meng

Abstract

In spatial computable general equilibrium models, interregional trade ought to play an important role in determining the spatial price equilibrium. Although the Armington assumption is commonly employed to describe cross‐hauling, many of the existing models do not explicitly consider the behavior of transport firms. This paper presents a framework that is compatible with the Armington assumption and explicitly considers transport activities. In the model, the trade coefficient takes the form of a potential function, and the equilibrium market price becomes similar to the price index in the context of new economic geography. The features of the model are investigated by using the minimal setting, which comprises two nontransport sectors and three regions. Because transport costs are given exogenously, the commodity prices are determined relative to them. The model can be described as a system of homogeneous equations, where an output in one region can arbitrarily be determined similarly as a price in the Walrasian equilibrium.

Suggested Citation

  • Asao Ando & Bo Meng, 2019. "Spatial Price Equilibrium And The Transport Sector: A Trade‐Consistent Scge Model," Review of Urban & Regional Development Studies, Wiley Blackwell, vol. 31(3), pages 234-256, November.
  • Handle: RePEc:bla:revurb:v:31:y:2019:i:3:p:234-256
    DOI: 10.1111/rurd.12104
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    Cited by:

    1. is not listed on IDEAS
    2. Euijune Kim & Seung‐Woon Moon & Yoojin Yi, 2021. "Analyzing spillover effects of development of Asian highway on regional growth of Northeast Asian countries," Review of Development Economics, Wiley Blackwell, vol. 25(3), pages 1243-1266, August.
    3. 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.
    4. Ando, Asao & Meng, Bo, 2016. "A unified framework of trade in value added : physical, monetary, exchange rates, and GHG emissions," IDE Discussion Papers 563, Institute of Developing Economies, Japan External Trade Organization(JETRO).

    More about this item

    JEL classification:

    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods

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