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A price-responsive framework for interregional input-output


  • John R. Roy

    (Commonwealth Scientific and Industrial Research Organisation, Division of Building, Construction and Engineering, P.O. Box 56, Highett, Victoria, 3190, Australia)


In interregional analysis, supply models are based typically on defined sets of `representative firms' with given `averaged' technological and cost coefficients, such that, when aggregated as identical units into both sectors and regions, they reproduce the total output of each sector in each region. Then, deterministic models obtain profit-maximising patterns of input demands and corresponding output, prior to aggregating these quantities as if the firms were truly identical and homogeneous. In this paper, the above optimisation models are replaced by a probabilistic framework, which nevertheless guarantees convergence to the above classical deterministic solutions in the limit. The models are estimated on `observed' flows, technological coefficients and prices, and a CES function (optionally) handles substitution between primary factors. These new input-output models become explicitly price-responsive, allowing t×tonnement with spatial models of final demand.

Suggested Citation

  • John R. Roy, 1997. "A price-responsive framework for interregional input-output," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 31(3), pages 285-298.
  • Handle: RePEc:spr:anresc:v:31:y:1997:i:3:p:285-298 Note: Received: June 1996 / Accepted: February 1997

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    References listed on IDEAS

    1. Fujita, Masahisa & Hamaguchi, Nobuaki, 2001. "Intermediate goods and the spatial structure of an economy," Regional Science and Urban Economics, Elsevier, vol. 31(1), pages 79-109, February.
    2. Hoerter, Darrell & Wiseman, Michael, 1988. "Metropolitan Development in the San Francisco Bay Area," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 22(3), pages 11-33, November.
    3. Rosenthal, Stuart S. & Strange, William C., 2001. "The Determinants of Agglomeration," Journal of Urban Economics, Elsevier, vol. 50(2), pages 191-229, September.
    4. Chung, W. & Wu, Y. June & Fuller, J. David, 1997. "Dynamic energy and environment equilibrium model for the assessment of CO2 emission control in Canada and the USA," Energy Economics, Elsevier, vol. 19(1), pages 103-124, March.
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