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Produkčná (ne)homogenita regiónov Slovenska
[Production (Non)Homogeneity Across Slovak Regions]

Author

Listed:
  • Filip Ostrihoň
  • Zlatica Ivaničová

Abstract

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.

Suggested Citation

  • Filip Ostrihoň & Zlatica Ivaničová, 2015. "Produkčná (ne)homogenita regiónov Slovenska [Production (Non)Homogeneity Across Slovak Regions]," Politická ekonomie, Prague University of Economics and Business, vol. 2015(5), pages 641-657.
  • Handle: RePEc:prg:jnlpol:v:2015:y:2015:i:5:id:1017:p:641-657
    DOI: 10.18267/j.polek.1017
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    References listed on IDEAS

    as
    1. Douglas Gollin, 2002. "Getting Income Shares Right," Journal of Political Economy, University of Chicago Press, vol. 110(2), pages 458-474, April.
    2. Maddala, G S & Wu, Shaowen, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 631-652, Special I.
    3. Choi, In, 2001. "Unit root tests for panel data," Journal of International Money and Finance, Elsevier, vol. 20(2), pages 249-272, April.
    4. von Hagen, Jürgen, 1998. "Fiscal policy and intranational risk-sharing," ZEI Working Papers B 13-1998, University of Bonn, ZEI - Center for European Integration Studies.
    5. G. S. Maddala & Shaowen Wu, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 631-652, November.
    6. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
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    More about this item

    Keywords

    panel data; Slovakia; Cobb-Douglas production function; estimation; NUTS 3; stock of capital;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • E23 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Production
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods
    • R30 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - General

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