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A Computable General Equilibrium Analysis of Efficiency Improvements at Japanese Ports

In: Computable General Equilibrium Approaches In Urban And Regional Policy Studies

Author

Listed:
  • MASAYUKI DOI

    (Institute of Policy and Planning Sciences, University of Tsukuba, Tsukuba, Ibaraki, Japan)

  • HIDEKAZU ITOH

    (School of Business Administration, Kwansei Gakuin University, Nishinomia, Hyogo, Japan)

  • PIYUSH TIWARI

    (University of Aberdeen Business School, Aberdeen, Scotland, United Kingdom)

Abstract

In this paper, we investigate the system-wide impact of increased efficiency of ports in Japan using a computable general equilibrium model developed for 1995. The technological efficiency in the ports reduces the cost of shipping transportation, and the forward and backward linkages of imports and exports introduce some positive gains in the national GDP. Our analysis proves that the spillover effects are substantial on shipping transportation and to a lesser extent on the Japanese economy. Since the port sector brings structural changes to the economies, the impact on the GDP due to productivity gains in the port sector is higher than equivalent gains in other sectors after controlling the size of sectors.

Suggested Citation

  • Masayuki Doi & Hidekazu Itoh & Piyush Tiwari, 2006. "A Computable General Equilibrium Analysis of Efficiency Improvements at Japanese Ports," World Scientific Book Chapters, in: Masayuki Doi (ed.), Computable General Equilibrium Approaches In Urban And Regional Policy Studies, chapter 7, pages 115-137, World Scientific Publishing Co. Pte. Ltd..
    • Handle: RePEc:wsi:wschap:9789812707116_0007
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    Cited by:

    1. César Ducruet & Hidekazu Itoh, 2022. "Spatial network analysis of container port operations: the case of ship turnaround times," EconomiX Working Papers 2022-15, University of Paris Nanterre, EconomiX.
    2. Harvey Cutler & Stephen Davies, 2010. "The Economic Consequences of Productivity Changes: A Computable General Equilibrium (CGE) Analysis," Regional Studies, Taylor & Francis Journals, vol. 44(10), pages 1415-1426.
    3. Romeo Danielis & Tullio Gregori, 2013. "An input-output-based methodology to estimate the economic role of a port: The case of the port system of the Friuli Venezia Giulia Region, Italy," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 15(2), pages 222-255, June.
    4. Romeo Danielis & Tullio Gregori, 2013. "An input-output-based methodology to estimate the economic role of a port: The case of the port system of the Friuli Venezia Giulia Region, Italy," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 15(2), pages 222-255, June.
    5. Bichou, Khalid, 2006. "Chapter 24 Review of Port Performance Approaches and a Supply Chain Framework to Port Performance Benchmarking," Research in Transportation Economics, Elsevier, vol. 17(1), pages 567-598, January.
    6. César Ducruet & Hidekazu Itoh, 2016. "Regions and material flows: investigating the regional branching and industry relatedness of port traffics in a global perspective," Journal of Economic Geography, Oxford University Press, vol. 16(4), pages 805-830.
    7. César Ducruet & Hidekazu Itoh, 2022. "Spatial Network Analysis of Container Port Operations: The Case of Ship Turnaround Times," Networks and Spatial Economics, Springer, vol. 22(4), pages 883-902, December.

    More about this item

    Keywords

    Computable General Equilibrium (CGE) Model; Social Accounting Matrix (SAM); Urban and Regional Policies (or Urban and Regional Policy Evaluation); Each Industry's Market Clearance; Structural and Long-Term Policy Impacts;
    All these keywords.

    JEL classification:

    • E5 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit
    • E6 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook

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