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New Developments in Input-Output Analysis

In: Tool Kits in Regional Science

Author

Listed:
  • Michael Sonis

    (University of Illinois, USA and Bar Ilan University)

  • Geoffrey J. D. Hewings

    (University of Illinois)

Abstract

In this chapter, a new temporal approach to the classical Leontief input–output analysis is elaborated that avoids the assumption of the constant direct input coefficients. The presentation builds on earlier work (Sonis & Hewings, 1989, 1991, 1992) that examined a variety of issues surrounding error and sensitivity analysis, decomposition and inverse important parameter estimation. These ideas are now brought into a general form as a basis for a more complete, general fields of influence approach that is the main vehicle for describing the overall changes in economic relationships between industries created by combinations of changes in technological coefficients caused by diffusion of technological, organizational and administrative innovations. The most important new concept based of the notion of the direct fields of influence is the multiplier product matrix and the corresponding artificial economic landscape which represents the classical key sector analysis and hierarchies of sectoral backward and forward linkages. The multi plier product matrix is the main part of the fundamental minimal information decomposition of Leontief inverse in the form of the difference between the global presentation of direct effects of the changes in inputs coefficients and the syner getic effects of the overall interaction of the changes. The new Temporal Leontief inverse is constructed such that it can serve as the basis for the temporal analysis of an evolving input–output system; the inverse depends on an evolutionary tail of changes in a highly non-linear manner. The detailed analytical structure of the Temporal Leontief inverse addresses the possibilities of tracing the impact of each change in the individual direct inputs in each time period through to the final state of the economy. This dynamic approach provides the basis for a new perturbation theory for matrix inversion.

Suggested Citation

  • Michael Sonis & Geoffrey J. D. Hewings, 2009. "New Developments in Input-Output Analysis," Advances in Spatial Science, in: Michael Sonis & Geoffrey J. D. Hewings (ed.), Tool Kits in Regional Science, chapter 3, pages 69-117, Springer.
  • Handle: RePEc:spr:adspcp:978-3-642-00627-2_3
    DOI: 10.1007/978-3-642-00627-2_3
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    Citations

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    Cited by:

    1. Petre Caraiani, 2023. "Monetary Policy Shocks and Input–Output Characteristics of Production Networks," JRFM, MDPI, vol. 16(3), pages 1-13, March.
    2. I�aki Aldasoro & Ignazio Angeloni, 2015. "Input-output-based measures of systemic importance," Quantitative Finance, Taylor & Francis Journals, vol. 15(4), pages 589-606, April.
    3. Paolo Guarda & Abdelaziz Rouabah, 2015. "Is the financial sector Luxembourg?s engine of growth?," BCL working papers 97, Central Bank of Luxembourg.
    4. Polo, Clemente & Valle, Elisabeth, 2011. "The Weight of Tourism in the Balearic Islands: 1983-1997-2004/El peso del turismo en las Islas Baleares: 1983-1997-2004," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 29, pages 737-754, Diciembre.
    5. Jean-Christophe MARTIN & Patrick POINT, 2011. "Construction of linkage indicators of greenhouse gas emissions for Aquitaine region," Cahiers du GREThA (2007-2019) 2011-05, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).

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