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Regional Efficiency in the Manufacturing Sector: Integrated Shift-Share and Data Envelopment Analysis

Author

Listed:
  • Mustafa Dinc

    (George Mason University)

  • Kingsley E. Haynes

    (George Mason University)

Abstract

In this article, the authors propose an approach to investigate regional economic structure, sectoral productivity, and relative efficiency by using a modified shift-share model and data envelopment analysis (DEA). To illustrate the proposed approach’s usefulness, the authors applied it in two states to assess and compare the foundations of economic performance in manufacturing. The authors first investigate the impacts of productivity and output change on employment change in these states by employing the Haynes and Dinc extension of the shift-share model. The DEA method is then employed to diagnose the efficiency of potential lead sectors.

Suggested Citation

  • Mustafa Dinc & Kingsley E. Haynes, 1999. "Regional Efficiency in the Manufacturing Sector: Integrated Shift-Share and Data Envelopment Analysis," Economic Development Quarterly, , vol. 13(2), pages 183-199, May.
    • Handle: RePEc:sae:ecdequ:v:13:y:1999:i:2:p:183-199
    DOI: 10.1177/089124249901300207
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    References listed on IDEAS

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