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Input-Output Analysis, Linear Programming and Modified Multipliers

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  • Zhu, Erqian Julia
  • Kim, Man-Keun
  • Harris, Thomas R.

Abstract

The input-output (IO) analysis explores changes in final demand through the regional economy using multipliers. However, it isn’t flexible to investigate the regional impact from the capacity limitations which are directly imposed on production, not final demand. This is because the multipliers are changing with exogenous restrictions on production. Conventionally, the IO analysis is performed assuming exogenous production restrictions being the changes in final demands or assuming the sector being exogenous sector like the final demand. If researchers or policy makers are interested in only economic impacts from production restrictions, there is no need to look into the modified multipliers. The modified multipliers should be considered when researchers and policy makers attempt to analyze the compensation of impact, especially recovery of loss using government expenditure. We suggest that the linear programming is a useful and efficient tool to derive modified multipliers and estimate correct regional impact from the policy changes.

Suggested Citation

  • Zhu, Erqian Julia & Kim, Man-Keun & Harris, Thomas R., 2009. "Input-Output Analysis, Linear Programming and Modified Multipliers," 2009 Annual Meeting, January 31-February 3, 2009, Atlanta, Georgia 46716, Southern Agricultural Economics Association.
  • Handle: RePEc:ags:saeana:46716
    DOI: 10.22004/ag.econ.46716
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    References listed on IDEAS

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    1. J. B. Penn & Bruce A. McCarl & Lars Brink & George D. Irwin, 1976. "Modeling and Simulation of the U.S. Economy with Alternative Energy Availabilities," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 58(4_Part_1), pages 663-671.
    2. Lars Brink & Bruce McCarl, 1977. "Input-Output Analysis, Linear Programming And The Output Multiplier," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 25(3), pages 62-67, November.
    3. Sherman Robinson & Andrea Cattaneo & Moataz El-Said, 2001. "Updating and Estimating a Social Accounting Matrix Using Cross Entropy Methods," Economic Systems Research, Taylor & Francis Journals, vol. 13(1), pages 47-64.
    4. Wilfred Candler & Michael Boehlje, 1971. "Use of Linear Programming in Capital Budgeting with Multiple Goals," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 53(2), pages 325-330.
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    Cited by:

    1. Soares, N. & Martins, A.G. & Carvalho, A.L. & Caldeira, C. & Du, C. & Castanheira, É. & Rodrigues, E. & Oliveira, G. & Pereira, G.I. & Bastos, J. & Ferreira, J.P. & Ribeiro, L.A. & Figueiredo, N.C. & , 2018. "The challenging paradigm of interrelated energy systems towards a more sustainable future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 95(C), pages 171-193.
    2. Carvalho, Ariovaldo Lopes de & Antunes, Carlos Henggeler & Freire, Fausto & Henriques, Carla Oliveira, 2015. "A hybrid input–output multi-objective model to assess economic–energy–environment trade-offs in Brazil," Energy, Elsevier, vol. 82(C), pages 769-785.

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