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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Barro, R. (2003). Determinants of economic growth in a panel of countries. Annals of Economics and Finance, 4, 231–274.
Cobb, C. W., & Douglas, P. H. (1928). A theory of production. American Economic Review, 18(1), 139–165.
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.
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.
Dickey, D. A., & Fuller, W. A. (1981). Likelihood ratio statistics for autoregressive time series with a unit root. Econometrica, 49(4), 1057–1072.
Economidou, C., & Murshid, A. P. (2008). Testing the linkages between trade and productivity growth. Review of Development Economics, 12, 845–860.
Granger, C. W. J. (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica, 37(3), 421–438.
Greenaway, D., Morgan, C. W., & Wright, P. W. (2002). Trade liberalisation and growth: New methods, new evidence. Journal of Development Economics, 67, 229–244.
Grossman, G. M., & Helpman, E. (1990). Comparative advantage and long-run growth. American Economic Review, 80, 796–815.
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.
Johansen, S. (1988). Statistical analysis of cointegration vectors. Economic Dynamic Control, 12, 231–254.
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.
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.
Krueger, A. O. (1978). Foreign trade regimes and economic development: Liberalization attempts and consequences. Cambridge, MA: Ballinger.
MacKinnon, J. G. (1996). Numerical distribution functions for unit root and cointegration tests. Journal of Applied Econometrics, 11(6), 601–618.
Mankiw, N. G., Romer, D., & Weil, D. N. (1992). A contribution to the empirics of economic growth. Quarterly Journal of Economics, 107, 407–437.
Narayan, P. K. (2005). The savings and investment nexus for China: Evidence from cointegration tests. Applied Economics, 37, 1979–1990.
Newey, W. K., & West, K. D. (1994). Automatic lag selection in covariance matrix estimation. Review of Economic Studies, 61(4), 631–654.
Nishimizu, M., & Robinson, S. (1984). Trade policies and productivity change in semiindustrialized countries. Journal of Development Economics, 30, 93–102.
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.
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.
Phillips, P. C. B., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75, 335–346.
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.
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.
Shahbaz, M. (2010). Income inequality-economic growth and non-linearity: A case of Pakistan. International Journal of Social Economics, 37, 613–736.
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.
Tyler, W. J. (1981). Growth and exports expansion in developing economies: Some empirical evidence. Journal of Development Economics, 9, 121–130.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Switzerland AG
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-030-02194-8_31
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-02193-1
Online ISBN: 978-3-030-02194-8
eBook Packages: Economics and FinanceEconomics and Finance (R0)