Fixed capital and long run economic growth: evidence from Poland

• Autorzy: Lach Ł.
• Języki publikacji: EN

Abstrakty

EN

In this paper, the results of testing the causal interdependences between the gross fixed capital formation and GDP in Poland are presented. Some recent theoretical deliberations (like alternative method of testing for direction and sign of long run causality) and econometric tests (bootstrap procedure, nonlinear causality test) were applied. The dataset included quarterly data for the period Ql 2000-Q4 2009, however the research was also performed for non-crisis subsample (Q3 2002-Q2 2008). Due to theoretical (formulation of growth models) and practical (omission of important variables) reasons employment was chosen as an additional variable. The significant evidence of short run feedback between fixed assets and GDP as well as between fixed assets and employment were found in both periods analyzed. However, the long run positive impact of fixed capital on economic growth was found only for reduced sample. Moreover, the robustness of these results was also approved. The results of this paper provided evidence to claim that fixed capital in Poland is still under its growth-maximising level. Although participation in UE stimulated rise in fixed assets, economic crisis have distorted this process. The main policy recommendation resulting from this paper is that the Polish government and private sector should definitely increase the level of fixed investment.

Słowa kluczowe

EN

fixed assets; economic growth; employment; Granger causality; impulse response

• Wydawca: Oficyna Wydawnicza Politechniki Wrocławskiej
• Czasopismo: Systems Science
• Rocznik: 2010
• Tom: Vol. 36, no 4
• Strony: 33--50
• Opis fizyczny: Bibliogr. 38 poz., tab., rys.

Twórcy

autor

Lach Ł.

• Department of Applications of Mathematics in Economics, Faculty of Management, AGH University of Science and Technology, Al. A. Mickiewicza 30, 30-059 Cracow, Poland, tel.: [phone], fax: [phone],

Bibliografia

• [1] Agiakoglu C, Newbold P., Empirical Evidence on Dickey-Fuller Type Tests, Journal of Time Series Analysis, 1992, 13, 471-483.
• [2] Andrews D.W.K., Buchinsky M., A Three-Step Method for Choosing the Number of Bootstrap Repetitions, Econometrica, 2000,68,23-52.
• [3] Aschauer D.A., It is Public Expenditure Productive, Journal of Monetary Economics, 1989a, 23, 177-200.
• [4] Aschauer D.A., Public Investment and Productivity Growth in Ae Croup of Seven, Economic Perspectives, 1989b, 13,17-25.
• [5] Back E., Brock W., A general test for Granger causality: Bivariate model, Technical Report, Iowa State University and University of Wisconsin, Madison, 1992.
• [6] Barro R.J., Government Spending in a Simple Model of Endogenous Growth, Journal of Political Economy, 1990, 98, 103-125.
• [7] Blomstrom M., Lipsey R.E., Zejan M., Is fixed investment the key to economic growth? Quarterly Journal of Economics, 1996, 111,269-276.
• [8] Brock W., Causality, chaos, explanation and prediction in economics and finance, [in:] J. Casti, A. Karlqvist (eds.), Beyond Belief: Randomness, Prediction and Explanation in Science, CRC Press, Boca Raton, Fla., 1991, 230-279.
• [9] Canning D., Fay M., Perotti R., Infrastructure and Growth, [in:] M. Baldassarri, M. Paganaetto, E.S. Phelps (eds.) International Differences in Growth Rates, New York, St. Martins Press, 1994.
• [10] Canning D., Pedroni P., Infrastructure, long-run economic growth and causality tests for cointegrated panels, The Manchester School, 2008, 76(5), 504-527.
• [11] Carroll CD., Weil D.N., Savings and growth: a reinterpretation, Carnegie-Rochester Conference Series on Public Policy, 1994,40, 133-92.
• [12] De Long J.B., Summers L.H., Equipment investment and economic growth, Quarterly Journal of Economics, 1991, 106,445-502.
• [13] De Long J.B., Summers L.H., Equipment investment and economic growth: how strong is the nexus? Brookings Papers on Economics Activity, 1992, 157-211.
• [14] Devarajan S., Swaroop V., Zou H.F., The Composition of Public Expenditure and Economic Growth, Journal of Monetary Economics, 1996, 37, 313-344.
• [15] Diks C.G.H., DeGoede J., A general nonparametric bootstrap test for Granger causality, [in:] H.W. Broer, W. Krauskopf, G. Vegter (eds.), Global analysis of dynamical systems, Institute of Physics Publishing, Bristol, United Kingdom, 2001, 391-403.
• [16] Diks C.G.H., Panchenko V., A new statistic and practical guidelines for nonparametric Granger causality testing, Journal of Economic Dynamics and Control, 2006, 30, 1647-1669.
• [17] Easterly W., Rebelo S., Fiscal Policy and Economic Growth: An Empirical Investigation, Journal of Monetary Economics, 1993, 32,417- 458.
• [18] Faust J., Leeper E., When do Long-Run Identifying Restrictions give Reliable Results? Journal of Business and Economic Statistics, 1998, 15, 345-354.
• [19] Ghali K.H., Public Investment and Private Capital Formation in a Vector Error correction Model of Growth, Applied Economics, 1998, 30, 837-844.
• [20] Granger C.W.J., Investigating causal relations by econometric models and cross spectral methods, Econometrica, 1969, 37, 424-438.
• [21] Granger C.W.J., Newbold P., Spurious regression in econometrics, Journal of Econometrics, 1974, 2, 111-120
• [22] Granger C.W.J., Some recent developments in the concept of causality, Journal of Econometrics, 1988, 39, 199-211.
• [23] Granger C.W.J., Huang B., Yang C, A bivariate causality between stock prices and exchange rates: evidence from recent Asian Flu, The Quarterly Review of Economics and Finance, 2000, 40, 337-354.
• [24] Gurgul H, Lach L., Linear versus nonlinear causality of DAX companies, Operations Research and Decisions, 2009, 3, 27-46.
• [25] Gurgul H., Lach L., The causal link between Polish stock market and key macroeconomic aggregates, Betriebswirtschaftliche Forschung und Praxis, 2010, 4, 367-383.
• [26] Hacker R.S., Hatemi J.A., Tests for causality between integrated variables using asymptotic and bootstrap distributions: theory and application, Applied Economics, 2006, 38, 1489-1500.
• [27] Hamilton J.D., Time Series Analysis, Princeton University Press, Princeton, 1994.
• [28] Horowitz J.L., Bootstrap methods in econometrics: Theory and numerical performance, [in:] D.M. Kreps, K.F. Wallis (eds.), Advances in Economics and Econometrics: Theory and Applications, Cambridge University Press, Cambridge, 1995, 188-232.
• [29] Johansen S., Statistical Analysis of Cointegrating Vectors, Journal of Economic Dynamics and Control, 1988,12,231-254.
• [30] Johansen S., Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models, Econometrica, 1991, 59, 1551-1580.
• [31] Johansen S., Likelihood—based Inference in Cointegrated Vector Autoregressive Models, Oxford University Press, Oxford, 1995.
• [32] Lach L., Application of bootstrap methods in investigation of size of the Granger causality test for integrated VAR systems, Managing Global Transitions, 2010, 8, 167-186.
• [33] Lütkepohl H., Introduction to Multiple Time Series Analysis, second ed., Springer-Verlag, New York, 1993.
• [34] Phillips P.C.B., Understanding the spurious regression in econometrics, Journal of Econometrics, 1986, 33, 311-340.
• [35] Phillips P.C.B., Impulse Response and Forecast Error Variance Asymptotic in Nonstationary VAR, Journal of Econometrics, 1998, 83, 21-56.
• [36] Sánchez-Robles B., Infrastructure Investment and Growth: Some Empirical Evidence, Contemporary Economic Policy, 1998, 16, 98-108
• [37] Toda H.Y., Yamamoto T., Statistical inference in vector autoregressions with possibly integrated processes, Journal of Econometrics, 1995, 66, 225-250.
• [38] Zhu S., Oxley L., Testing models of growth - a two-sector model of the USA, Applied Economics Letters, 2001, 8, 325- 329.