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Competitive Industrial Performance Index and It’s Drivers: Case of Turkey and Selected Countries

In: Proceedings of the Conference on Emerging Economic Issues in a Globalizing World

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Author Info

  • Neþe Kumral

    (Ege University)

  • Çaðaçan Deðer

    (Ege University)

  • Burcu Türkcan

    (Ege University)

Abstract

Competitiveness of manufacturing industry is regarded as one of the basic determinants of long run sustainable growth of a country. Therefore it is important to have an understanding of relative positions of countries in terms of competitiveness and determinants of competitive ability. This study aims to reveal the standing of Turkey in a group of countries and analyze determinants of competitive ability. The competitive industrial performance (CIP) index, taken to be an indicator of relative competitive ability, has been calculated for a sample of 33 countries for years 1985, 1990, 1998 and 2002. Panel data methods then have been employed to reveal sources of competitive ability. Conducted analysis reveals Turkish manufacturing industry to be lagging behind many of the sample countries and presents a grim picture for sustainable development in medium and long run.

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Bibliographic Info

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This chapter was published in:

  • Oguz Esen & Ayla Ogus (ed.), 2008. "Proceedings of the International Conference on Emerging Economic Issues in a Globalizing World," Proceedings of the IUE-SUNY Cortland Conference in Economics, Izmir University of Economics, number 2008.
    This item is provided by Izmir University of Economics in its series Papers of the Annual IUE-SUNY Cortland Conference in Economics with number 200813.

    Handle: RePEc:izm:prcdng:200813

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    Postal: Sakarya Caddesi, No:156 35330 Balçova - İzmir
    Fax: (90) 232 279 2626
    Web page: http://eco.ieu.edu.tr
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    Keywords: CIP index; Turkey; manufacturing industry; Competitiveness;

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    1. Szirmai, Adam, 2008. "Explaining Success and Failure in Development," MERIT Working Papers 013, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    2. Peter J. Klenow & Mark Bils, 2000. "Does Schooling Cause Growth?," American Economic Review, American Economic Association, vol. 90(5), pages 1160-1183, December.
    3. Swamy, P A V B & Arora, S S, 1972. "The Exact Finite Sample Properties of the Estimators of Coefficients in the Error Components Regression Models," Econometrica, Econometric Society, vol. 40(2), pages 261-75, March.
    4. J. A. Hausman, 1976. "Specification Tests in Econometrics," Working papers 185, Massachusetts Institute of Technology (MIT), Department of Economics.
    5. Hsiao,Cheng, 2003. "Analysis of Panel Data," Cambridge Books, Cambridge University Press, number 9780521522717, October.
    6. Temple, Jonathan R. W., 2001. "Generalizations that aren't? Evidence on education and growth," European Economic Review, Elsevier, vol. 45(4-6), pages 905-918, May.
    7. Robert J. Barro & Jong-Wha Lee, 2000. "International Data on Educational Attainment Updates and Implications," NBER Working Papers 7911, National Bureau of Economic Research, Inc.
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