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Cobb-Douglas Production Function: The Case of Poland’s Economy

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Advances in Time Series Data Methods in Applied Economic Research (ICOAE 2018)

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Abstract

The aim of this paper is to analyze the relationship between international trade and economic and financial development for Poland for the period 1990–2016. For this long run relationship we apply the autoregressive distributed lag—ARDL technique as it was formed by Pesaran and Shin (Econometrics and economic theory in the 20th century. The Ragnar Frisch centennial symposium. Cambridge University Press, Cambridge, 1999) and Pesaran et al. (J Appl Econ 16:289–326, 2001) as well as the augmented Cobb-Douglas production function formed by Mankiw et al. (Quart J Econ 107:407–437, 1992). The results of ARDL test confirm the existence of long run relationship between examined variables. Capital seems to be an impetus of economic development both in the short and long run, while labor has a negative impact in Poland’s economic growth. However, trade openness and financial development found to be insignificant on economic development both in the short and long run. Finally, causality results showed that there is a unilateral causal relationship between financial development and labor towards economic development and also a bilateral causal relationship between capital and trade openness with economic development.

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References

  • Barro, R. (2003). Determinants of economic growth in a panel of countries. Annals of Economics and Finance, 4, 231–274.

    Google Scholar 

  • Cobb, C. W., & Douglas, P. H. (1928). A theory of production. American Economic Review, 18(1), 139–165.

    Google Scholar 

  • Das, A., & Paul, B. P. (2011). Openness and growth in emerging Asian economies: Evidence from GMM estimation of a dynamic panel. Economics Bulletin, 31, 2219–2228.

    Google Scholar 

  • Dickey, D. A., & Fuller, W. A. (1979). Distributions of the estimators for autoregressive time series with a unit root. Journal of American Statistical Association, 74(366), 427–431.

    Article  Google Scholar 

  • Dickey, D. A., & Fuller, W. A. (1981). Likelihood ratio statistics for autoregressive time series with a unit root. Econometrica, 49(4), 1057–1072.

    Article  Google Scholar 

  • Economidou, C., & Murshid, A. P. (2008). Testing the linkages between trade and productivity growth. Review of Development Economics, 12, 845–860.

    Google Scholar 

  • Granger, C. W. J. (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica, 37(3), 421–438.

    Article  Google Scholar 

  • Greenaway, D., Morgan, C. W., & Wright, P. W. (2002). Trade liberalisation and growth: New methods, new evidence. Journal of Development Economics, 67, 229–244.

    Article  Google Scholar 

  • Grossman, G. M., & Helpman, E. (1990). Comparative advantage and long-run growth. American Economic Review, 80, 796–815.

    Google Scholar 

  • Jenkins, H. P., & Katircioglu, S. T. (2010). The bounds test approach for cointegration and causality between financial development, international trade and economic growth: The case of Cyprus. Applied Economics, 42, 1699–1707.

    Article  Google Scholar 

  • Johansen, S. (1988). Statistical analysis of cointegration vectors. Economic Dynamic Control, 12, 231–254.

    Article  Google Scholar 

  • Kosztowniak, A. (2013). Foreign direct investment as a factor of economic growth in Poland. Empirical analysis for the period 1995–2012. Advances in Economics and Business, 1(2), 203–212.

    Google Scholar 

  • Kosztowniak, A. (2014). Analysis of the Cobb-Douglas production function as a tool to investigate the impact of FDI net inflows on gross domestic product value in Poland in the period 1994–2012. Oeconomia Copernicana, 5(4), 169–190.

    Article  Google Scholar 

  • Krueger, A. O. (1978). Foreign trade regimes and economic development: Liberalization attempts and consequences. Cambridge, MA: Ballinger.

    Google Scholar 

  • MacKinnon, J. G. (1996). Numerical distribution functions for unit root and cointegration tests. Journal of Applied Econometrics, 11(6), 601–618.

    Article  Google Scholar 

  • Mankiw, N. G., Romer, D., & Weil, D. N. (1992). A contribution to the empirics of economic growth. Quarterly Journal of Economics, 107, 407–437.

    Article  Google Scholar 

  • Narayan, P. K. (2005). The savings and investment nexus for China: Evidence from cointegration tests. Applied Economics, 37, 1979–1990.

    Article  Google Scholar 

  • Newey, W. K., & West, K. D. (1994). Automatic lag selection in covariance matrix estimation. Review of Economic Studies, 61(4), 631–654.

    Article  Google Scholar 

  • Nishimizu, M., & Robinson, S. (1984). Trade policies and productivity change in semiindustrialized countries. Journal of Development Economics, 30, 93–102.

    Google Scholar 

  • Pesaran, M. H., & Shin, Y. (1999). An autoregressive distributed-led modeling approach to cointegration analysis. In S. Strom (Ed.), Econometrics and Economic Theory in the 20th Century. The Ragnar Frisch Centennial Symposium. Cambridge: Cambridge University Press.

    Google Scholar 

  • Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds testing approaches to the analysis of long run relationships. Journal of Applied Econometrics, 16, 289–326.

    Article  Google Scholar 

  • Phillips, P. C. B., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75, 335–346.

    Article  Google Scholar 

  • Pradhan, R. P., Arvin, M. B., Norman, N. R., & Hall, J. H. (2015). A quantitative assessment of the trade openness–economic growth nexus in India. International Journal of Commerce and Management, 25(3), 267–293.

    Article  Google Scholar 

  • Romer, P. M. (1990). The problem of development: A conference of the institute for the study of free enterprise system. Journal of Political Economy, 98, 1–11.

    Article  Google Scholar 

  • Shahbaz, M. (2010). Income inequality-economic growth and non-linearity: A case of Pakistan. International Journal of Social Economics, 37, 613–736.

    Article  Google Scholar 

  • Shahbaz, M. (2012). Does trade openness affect long run growth? Cointegration, causality and forecast error variance decomposition tests for Pakistan. Economic Modelling, 29(6), 2325–2339.

    Article  Google Scholar 

  • Tyler, W. J. (1981). Growth and exports expansion in developing economies: Some empirical evidence. Journal of Development Economics, 9, 121–130.

    Article  Google Scholar 

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Correspondence to Chaido Dritsaki .

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Dritsaki, C., Stamatiou, P. (2018). Cobb-Douglas Production Function: The Case of Poland’s Economy. In: Tsounis, N., Vlachvei, A. (eds) Advances in Time Series Data Methods in Applied Economic Research. ICOAE 2018. Springer Proceedings in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-030-02194-8_31

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