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Identification of strategic industries: A dynamic perspective

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  • Bart Los

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Abstract

Reliable estimates of the economy-wide losses associated with industry closings are generally hard to obtain. In the input-output literature, numerous measures of the social value of industries have been proposed. These measures are mostly based on comparative statics results, whereas the recent upsurge of growth theories suggests a dynamic perspective. In this article “hypothetical extraction” methods are used in a new dynamic input-output growth model. The model also stresses the importance of technological linkages between industries and of international trade performance. The potential power of the dynamic extraction methodology is illustrated by simulation results for a hypothetical economy. Copyright Springer-Verlag Berlin/Heidelberg 2004

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File URL: http://hdl.handle.net/10.1007/s10110-004-0221-3
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Bibliographic Info

Article provided by Springer in its journal Papers in Regional Science.

Volume (Year): 83 (2004)
Issue (Month): 4 (October)
Pages: 669-698

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Handle: RePEc:spr:ecogov:v:83:y:2004:i:4:p:669-698

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Related research

Keywords: Interindustry analysis; dynamic models; technological progress; growth;

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References

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  1. Bart Los & Bart Verspagen, 2006. "The Evolution Of Productivity Gaps And Specialization Patterns," Metroeconomica, Wiley Blackwell, vol. 57(4), pages 464-493, November.
  2. ten Raa, Thijs & Wolff, Edward N., 2000. "Engines of growth in the US economy," Structural Change and Economic Dynamics, Elsevier, vol. 11(4), pages 473-489, December.
  3. Robert Stehrer, 2001. "Industrial specialisation, trade, and labour market dynamics in a multisectoral model of technological progress," Computing in Economics and Finance 2001 230, Society for Computational Economics.
  4. Bart Los, 2001. "Endogenous Growth and Structural Change in a Dynamic Input-Output Model," Economic Systems Research, Taylor and Francis Journals, vol. 13(1), pages 3-34.
  5. Griliches, Zvi, 1992. " The Search for R&D Spillovers," Scandinavian Journal of Economics, Wiley Blackwell, vol. 94(0), pages S29-47, Supplemen.
  6. Los, Bart & Verspagen, Bart, 2000. "R&D spillovers and productivity: Evidence from U.S. manufacturing microdata," Open Access publications from Maastricht University urn:nbn:nl:ui:27-18035, Maastricht University.
  7. Meller, Patricio & Marfan, Manuel, 1981. "Small and Large Industry: Employment Generation, Linkages, and Key Sectors," Economic Development and Cultural Change, University of Chicago Press, vol. 29(2), pages 263-74, January.
  8. Bas ter Weel & L. Soete & B. Verspagen, 2010. "Systems of innovation," CPB Discussion Paper 138, CPB Netherlands Bureau for Economic Policy Analysis.
  9. Jaffe, A.B. & Trajtenberg, M., 1992. "Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations," Papers 14-92, Tel Aviv.
  10. Dietzenbacher, Erik, 1992. "The measurement of interindustry linkages : Key sectors in the Netherlands," Economic Modelling, Elsevier, vol. 9(4), pages 419-437, October.
  11. Keld Laursen & Valentina Meliciani, 2002. "The relative importance of international vis-ý-vis national technological spillovers for market share dynamics," Industrial and Corporate Change, Oxford University Press, vol. 11(4), pages 875-894, August.
  12. Erik Dietzenbacher & Alex R. Hoen & Bart Los, 2000. "Labor Productivity in Western Europe 1975-1985: An Intercountry, Interindustry Analysis," Journal of Regional Science, Wiley Blackwell, vol. 40(3), pages 425-452.
  13. Jan Fagerberg, 1999. "The Economic Challenge for Europe: Adapting to Innovation-Based Growth," Working Papers 2, Centre for Technology, Innovation and Culture, University of Oslo.
  14. Maurseth, Per Botolf & Verspagen, Bart, 1999. "Europe: one or several systems of innovation? An analysis based on patent citations," Open Access publications from Maastricht University urn:nbn:nl:ui:27-18078, Maastricht University.
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