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Identification of strategic industries: A dynamic perspective

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  • Bart Los

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

Suggested Citation

  • Bart Los, 2004. "Identification of strategic industries: A dynamic perspective," Papers in Regional Science, Springer;Regional Science Association International, vol. 83(4), pages 669-698, October.
    • Handle: RePEc:spr:presci:v:83:y:2004:i:4:p:669-698
    DOI: 10.1007/s10110-004-0221-3
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    2. Kokko, Ari & Gustavsson Tingvall, Patrik & Videnord, Josefin, 2017. "Which Antidumping Cases Reach the WTO?," Ratio Working Papers 286, The Ratio Institute.
    3. Lampiris, Georgios & Karelakis, Christos & Loizou, Efstratios, 2018. "Evaluation of the impacts of CAP policy measures on a local economy: The case of a Greek region," Land Use Policy, Elsevier, vol. 77(C), pages 745-751.
    4. Umed Temurshoev, 2010. "Identifying Optimal Sector Groupings With The Hypothetical Extraction Method," Journal of Regional Science, Wiley Blackwell, vol. 50(4), pages 872-890, October.
    5. Valerija Botric, 2013. "Identifying Key Sectors in Croatian Economy Based on Input-Output Tables," Working Papers 1302, The Institute of Economics, Zagreb.
    6. Karyn Morrissey, 2016. "A location quotient approach to producing regional production multipliers for the Irish economy," Papers in Regional Science, Wiley Blackwell, vol. 95(3), pages 491-506, August.
    7. Miguel, Francisco Javier de & Llop Llop, Maria & Manresa, Antonio, 1954-, 2011. "Simulating the Impact of Sectorial Productivity Gains on Two Regional Economies: Key Sectors from a Supply Side Perspective," Working Papers 2072/169681, Universitat Rovira i Virgili, Department of Economics.
    8. Francisco Miguel & Maria Llop & Antonio Manresa, 2014. "Sectoral productivity gains in two regional economies: key sectors from a supply-side perspective," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 53(3), pages 731-744, November.
    9. Kraftova Ivana & Chladek Tomas & Minarik Jakub, 2011. "Do Globalisation and Economic Cycles Reduce the Sector Inequality of Supra-Regions?," European Spatial Research and Policy, Sciendo, vol. 18(2), pages 111-127, November.
    10. Henrique Morrone, 2018. "Which Sectors To Stimulate First In Brazil? Estimating The Sectoral Power To Pull The Economy Out Of The Recession," Anais do XLIV Encontro Nacional de Economia [Proceedings of the 44th Brazilian Economics Meeting] 95, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].

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