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The impact of production and infrastructure shocks to the Japanese inter-regional economy: A non-linear input-output programming approach

Author

Listed:
  • Jan Oosterhaven

  • Michiya Nozaki

Abstract

This paper develops a methodology to predict and to thus possibly mitigate the economic impacts of major catastrophes, such as earthquakes and tsunamis. The short-run impacts are assumed to be determined by the attempts of economic actors to return to the pre-catastrophe economic situation as closely and as quickly as possible. We propose to model these behavioural reactions by a non-linear program that minimizes the weighted sum of the logarithms of the deviations between the post- and the pre-catastrophe size of all economic transactions in the economy at hand, subject to a Walras-Leontief production function per regional industry, a minimal size of regional final demand by product and a positive trade balance. The non-linear program is considered to be representative of the short-run equilibrium of the economy at hand, when its base scenario solution closely resembles the base year interregional input-output table of the country at hand. The methodology will be tested by means of the comparison of the base scenario with a series of scenarios with regional production shocks and interregional infrastructure shocks to the Japanese interregional, interindustry economy of 2005. The impacts of these shocks will be evaluated by means of the changes in, respectively, regional value added and the output price by regional industry.

Suggested Citation

  • Jan Oosterhaven & Michiya Nozaki, 2014. "The impact of production and infrastructure shocks to the Japanese inter-regional economy: A non-linear input-output programming approach," ERSA conference papers ersa14p163, European Regional Science Association.
  • Handle: RePEc:wiw:wiwrsa:ersa14p163
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    References listed on IDEAS

    as
    1. Wenfeng Huang & Shintaro Kobayashi & Hajime Tanji, 2008. "Updating an Input-Output Matrix with Sign-preservation: Some Improved Objective Functions and their Solutions," Economic Systems Research, Taylor & Francis Journals, vol. 20(1), pages 111-123.
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    3. Umed Temurshoev & Jan Oosterhaven, 2014. "Analytical and Empirical Comparison of Policy-Relevant Key Sector Measures," Spatial Economic Analysis, Taylor & Francis Journals, vol. 9(3), pages 284-308, September.
    4. Theo Junius & Jan Oosterhaven, 2003. "The Solution of Updating or Regionalizing a Matrix with both Positive and Negative Entries," Economic Systems Research, Taylor & Francis Journals, vol. 15(1), pages 87-96, March.
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    6. Jan Oosterhaven, 2012. "Adding Supply-Driven Consumption Makes The Ghosh Model Even More Implausible," Economic Systems Research, Taylor & Francis Journals, vol. 24(1), pages 101-111, October.
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    More about this item

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General
    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General

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