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An Aggregated Regional Economic Input–Output Analysis within a Fuzzy Environment

Author

Listed:
  • Malcolm James Beynon
  • Max Munday

Abstract

Abstract Imprecision within economic input–output frameworks can be a problem, particularly when investigating the characteristics of defined industry sectors. This study undertakes an aggregated regional economic input–output analysis, within a fuzzy environment. The dearth of studies encompassing a fuzzy approach within input–output analysis largely concerns the problematic representation of imprecision. Results pertaining to the fuzzy output multipliers associated with each sector group are described, including possibilistic mean and variance; also identified is a specific ranking of the sector groups. Where appropriate, results are compared with those from a Monte Carlo simulation based stochastic analysis.

Suggested Citation

  • Malcolm James Beynon & Max Munday, 2007. "An Aggregated Regional Economic Input–Output Analysis within a Fuzzy Environment," Spatial Economic Analysis, Taylor & Francis Journals, vol. 2(3), pages 281-296.
    • Handle: RePEc:taf:specan:v:2:y:2007:i:3:p:281-296
    DOI: 10.1080/17421770701549787
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    Citations

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    Cited by:

    1. Douglas Thomas & Anand Kandaswamy, 2019. "Identifying high resource consumption areas of assembly-centric manufacturing in the United States," The Journal of Technology Transfer, Springer, vol. 44(1), pages 264-311, February.
    2. Umed Temurshoev, 2015. "Uncertainty treatment in input-output analysis," Working Papers 2015-004, Universidad Loyola Andalucía, Department of Economics.
    3. Hristov, Jordan & Surry, Yves, 2013. "Considering the Effect of Uncertainty in an Input-Output Analysis of Water Consumption: A Fuzzy Approach Applied to Macedonia," 2013 Conference: Tools for decision support in agriculture and rural development, April 18-19, 2013, Krško, Slovenia 183913, Slovenian Association of Agricultural Economists (DAES).
    4. Kowalewski, Julia, 2009. "Methodology of the input-output analysis," HWWI Research Papers 1-25, Hamburg Institute of International Economics (HWWI).
    5. Caggiani, Leonardo & Ottomanelli, Michele & Dell’Orco, Mauro, 2014. "Handling uncertainty in Multi Regional Input-Output models by entropy maximization and fuzzy programming," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 71(C), pages 159-172.

    More about this item

    Keywords

    Aggregated data; fuzzy set theory; input–output tables; regional analysis; C15; C67; C67; R15;
    All these keywords.

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods

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