Convergence and Spatial Patterns in Labor Productivity: Nonparametric Estimations for Turkey
AbstractThis study examines convergence in aggregate labor productivity levels, using data on the 67 provinces of Turkey over the period 1975-1990. Markov chains, a nonparametric approach, are applied to characterize the long run tendency of labor productivity. Evidence shows polarization: the observation that the majority of provinces tend to move towards low productivity level, while few move toward high productivity level. These two groups form convergence clubs around the upper and lower tails of the distribution. Furthermore, nonparametric regression results, in conformity with the results obtained from the Markov chain model, reveal a persistent spatial pattern in labor productivity: a pattern of high productivity, which has lasted for the period 1975-1990, around three highly industrialized provinces.
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Bibliographic InfoArticle provided by Mid-Continent Regional Science Association in its journal Journal of Regional Analysis and Policy.
Volume (Year): 29 (1999)
Issue (Month): 1 ()
Other versions of this item:
- Tugrul Temel & Aysit Tansel & Peter J. Albersen, 1999. "Convergence and Spatial Patterns in Labor Productivity: Nonparametric Estimations for Turkey," Working Papers 9931, Economic Research Forum, revised Oct 1999.
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- Kirdar, Murat & Saracoglu, Sirin, 2007.
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2648, University Library of Munich, Germany.
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- Unal Zenginobuz & Sumru Altug, 2009. "What has been the Role of Investment in Turkey's Growth Performance?," Working Papers 2009/02, Bogazici University, Department of Economics.
- Temel, T. & Tansel, A. & Gungor, N.D., 2005. "Convergence of Sectoral Productivity in Turkish Provinces: A Markov Chains Model," International Journal of Applied Econometrics and Quantitative Studies, Euro-American Association of Economic Development, vol. 2(2), pages 65-84.
- Sirin Saracoglu & Murat G. Kirdar, 2006. "Does Internal Migration Lead to Faster Regional Convergence in Turkey? an Empirical Investigation," ERSA conference papers ersa06p784, European Regional Science Association.
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