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Complementarity In Input-Output Analysis And Stochastics

Author

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  • Thijs ten Raa
  • Victoria Shestalova

Abstract

The complementarity between the quantity and value systems of input-output analysis is shown to be the basis of the complementarity problem approach to computable general equilibrium. The numerical superiority of the latter to the linear programming approach facilitates stochastic analysis of input-output scenarios. For the example where Kyoto targets are underachieved to uncertain degrees, confidence intervals are derived for the associated consumption reductions.

Suggested Citation

  • Thijs ten Raa & Victoria Shestalova, 2015. "Complementarity In Input-Output Analysis And Stochastics," Economic Systems Research, Taylor & Francis Journals, vol. 27(1), pages 95-100, March.
    • Handle: RePEc:taf:ecsysr:v:27:y:2015:i:1:p:95-100
    DOI: 10.1080/09535314.2014.987109
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    Cited by:

    1. Jiang, Meihui & An, Haizhong & Gao, Xiangyun & Liu, Donghui & Jia, Nanfei & Xi, Xian, 2020. "Consumption-based multi-objective optimization model for minimizing energy consumption: A case study of China," Energy, Elsevier, vol. 208(C).

    More about this item

    JEL classification:

    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development
    • D - Microeconomics

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