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Incorporating Sectoral Structure into Shift-Share Analysis

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  • MIGUEL A. MÁRQUEZ
  • JULIÁN RAMAJO
  • GEOFFREY J. D. HEWINGS

Abstract

The objective of this article is to present a new way to incorporate the sectoral dimension within the components of regional growth provided by the traditional shift-share analysis. The new methodology elaborates the way that the dynamics of a specific sector in a region are influenced by the performance of other sectors, the latter decomposed between national, structural, and differential effects. To illustrate this extension of the shift-share method, an application is provided using data for the Spanish region of Extremadura for the period 1990-2004. The results highlight how these new components can shed new insights into the analysis of sectoral and regional economic growth processes. Copyright (c) 2009 Wiley Periodicals, Inc..

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Bibliographic Info

Article provided by Gatton College of Business and Economics, University of Kentucky in its journal Growth and Change.

Volume (Year): 40 (2009)
Issue (Month): 4 ()
Pages: 594-618

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Handle: RePEc:bla:growch:v:40:y:2009:i:4:p:594-618

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Web page: http://www.blackwellpublishing.com/journal.asp?ref=0017-4815

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Cited by:
  1. IORDAN Marioara & GRIGORESCU Adriana & CHILIAN Mihaela-Nona, 2013. "Sub-Regional Disparities In Romania - The Case Of The Centru Region," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 65(5), pages 102-117.
  2. Zeynep Elburz & Ferhan Gezici, 2012. "Regional Development Policies And Industrial Employment Change In Turkey: A Shift Share Analysis (1992-2008)," ERSA conference papers ersa12p1012, European Regional Science Association.
  3. Mihaela-Nona Chilian, 2011. "Evolution of Regional Disparities in Romania – A Shift-share Analysis," ERSA conference papers ersa11p827, European Regional Science Association.
  4. Chilian, Mihaela Nona, 2012. "Evolution of Regional and Sub-Regional Disparities in Romania – A Sectoral Shift-Share Analysis," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 187-204, March.

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