Politická ekonomie 2015, 63(5):641-657 | DOI: 10.18267/j.polek.1017

Produkčná (ne)homogenita regiónov Slovenska

Filip Ostrihoň, Zlatica Ivaničová
Ekonomická univerzita v Bratislave.

Production (Non)Homogeneity Across Slovak Regions

Slovakia is a unitary state with a common legal and macroeconomic environment for all regions. However, such environment may hinder regions with production setting, different from the majority of the regions. Hence, the aim of the following paper is to present an empirical analysis of the production technologies used across Slovak regions and to identify potential regional differences. For this purpose two-factor Cobb-Douglas production function was analysed, using annual historical panel data for NUTS 3 Slovak regions. The panel-data structure allowed the distinguishing of the differences in capital and labour elasticities between the analysed regions and the average of the rest of the regions. Additionally, the same methodology was performed with Cobb-Douglas model built on the first differences of the used data. The results of the two approaches indicate that region "Banskobystrický kraj" has significantly different production setting for capital and labour input than the rest of Slovak regions.

Keywords: panel data, Slovakia, Cobb-Douglas production function, estimation, NUTS 3, stock of capital
JEL classification: C23, E23, R15, R30

Published: September 1, 2015  Show citation

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Ostrihoň, F., & Ivaničová, Z. (2015). Production (Non)Homogeneity Across Slovak Regions. Politická ekonomie, 63(5), 641-657. doi: 10.18267/j.polek.1017
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    References

    1. BALTAGI, B. H. 2005. Econometric Analysis of Panel Data. 3rd ed. Chichester: Wiley, 2005. ISBN 978-0-470-01456-1.
    2. COBB, C. W.; DOUGLAS, P. H. 1928. A Theory of Production. American Economic Review. 1928, Vol. 18 (Suppl.), pp. 139-165. Go to original source...
    3. GALABOVÁ, M. et al. 2005. Odhad produkčnej medzery a štrukturálneho salda verejných financií v SR [Ekonomická analýza 3]. Bratislava: Inštitút finančnej politiky MF SR, 2005.
    4. GOLLIN, D. 2002. Getting Income Shares Right. Journal of Political Economy. 2002, Vol. 110, No. 2, pp. 458-474. Go to original source...
    5. GREENE, W. H. 2003. Econometric Analysis, 4. vyd. New Jersey: Prentice-Hall, 2003. ISBN 978-0-130-13297-0.
    6. GYLÁNIK, M.; HUČEK, J. 2009. Odhad NAIRU v slovenskej ekonomike. Bratislava: Odbor menovej politiky, 2009. NBS, 10/2009.
    7. HÁJEK, O. et al. 2012. Regionální disparity a financování regionální politiky - některé poznatky z České Republiky. Politická ekonomie. 2012, Vol. 60, No. 3, pp. 330-348. Go to original source...
    8. HOANG, N. T.; MCNOWN, R. F. 2006. Panel Data Unit Roots Tests Using Various Estimation Methods. [Working Paper] Boulder (CO): Department of Economics, University of Colorado at Boulder, 2006.
    9. CHOI, I. 2001. Unit Root Tests for Panel Data. Journal of International Money and Finance. 2001, Vol. 20, No. 2, pp. 249-272. Go to original source...
    10. IVANIČOVÁ, Z.; OSTRIHOŇ, F. 2014. Consumption Smoothing and Risk Sharing Across the Regions (Fiscal Effects Panel Data Approach). In: Qunantitative Methods in Economics (Multiple Critera Decision Making) XVII, Proceedings of the Internatioal Scientific Conference, Virt, Slovakia, Bratislava: Ekonóm, University of Economics, Bratislava, 2014, pp. 88-96.
    11. IVANIČOVÁ, Z.; RUBLÍKOVÁ, E. 2014. Management of Regional Consumption, Strategic management. International Journal of Strategic Management and Decision Support Systems in Strategic Management. 2014, Vol. 19, No. 2, pp. 16-18.
    12. IVANIČOVÁ, Z.; SURMANOVÁ, K. 2013. Analýza efektívnosti regiónov pomocou metodológie SUR modelov. In Ekonomické rozhľady (Economic Review). Scientific Journal of Economics in Bratislava. 2013, Vol. 42, No. 3, pp. 355-370.
    13. KUBÍČEK, J. 2005. Dlouhodobý ekonomický růst, produktivita a konvergence. Praha: Karlova univerzita, 2005. ISBN 978-80-225-2614-2.
    14. LEVIN, A.; LIN, C. F.; CHU, C. 2002. Unit Root Tests in Panel Data: Asymptotic and Finite-Sample Properties. In Journal of Econometrics. 2002, Vol. 108, No. 1, pp. 1-24. Go to original source...
    15. LUKÁČIKOVÁ, A.; LUKÁČIK, M. 2008. Ekonometrické modelovanie. Bratislava: Ekonóm, Ekonomická univerzita v Bratislave, 2008.
    16. MADDALA, G. S.; WU, S. 1999. A Comparative Study of Unit Root Tests with Panel Data and A New Simple Test. In Oxford Bulletin of Economics and Statistics. 1999 (special issue), Vol. 61, No. S-1, pp. 631-652. Go to original source...
    17. OCHOTNICKÝ, P. 2008. Výber produkčnej funkcie pri odhade potenciálneho produktu. Ekonomický časopis. 2008, Vol. 56, No. 8, pp. 800-816.
    18. RADVANSKÝ, M. 2013. Tvorba regionálnych ekonomických modelov a možnosti ich aplikácie v podmienkach SR. [Dizertačná práca] Bratislava: Katedra operačného výskumu a ekonometrie, Fakulta hospodárskej informatiky, Ekonomická univerzita v Bratislave, 2013.
    19. QUANTITATIVE MICRO SOFTWARE. 2007. EViews 6 User's Guide I. Irvine: Quantitative Micro Software, LLC, 2007.
    20. SZOMOLÁNYI, K.; LUKÁČIK, M.; LUKÁČIKOVÁ, A. 2012. The Estimate of Parameters of Production Function of Slovak Economy: Econometric Analysis of Nominal Wages. In: Qunantitative Methods in Economics (Multiple Critera Decision Making) XVI, Procedings of the International Scientific Conference. Bratislava: Vydavateľstvo Ekonóm, 2012.
    21. ŠTATISTICKÝ ÚRAD SLOVENSKEJ REPUBLIKY. 2014. Štatistická ročenka regiónov Slovenska 2013. Bratislava: ŠU SR, 2014, 522 s. ISBN 978-80-8121-301-4.
    22. VON HAGEN, J. 1998. Fiscal Policy and Intranational Risk-Sharing. Center for European Integration Studies Working Paper B13, 1998. Bonn: Rheinische Friedrich-Wilhelms-University, 1998.
    23. WOOLDRIDGE, J. M. 2002. Econometric Analysis of Cross Section and Panel Data. Cambridge: M.I.T. Press, 2002. ISBN 978-0-26-223219-7.
    24. ZHANG, R.; SUN, K.; DELGADO, M. S.; KUMBHAKAR, S. C. 2012. Productivity in China's high technology industry: Regional heterogeneity and R&D. In Technological Forecasting & Social Change. 2012, Vol. 79, No. 1, pp. 127-141. Go to original source...
    25. ZEMANEK, H. 2010. Asymmetric International Risk Sharing in the Euro Area. 5 Workshop Macroekonomic und Konjunktur. University of Leipzig, Institute for Economic Policy, 2010.

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