Non-Cyclical Fluctuations in GDP Growth in Poland

Authors

DOI:

https://doi.org/10.18778/0208-6018.367.02

Keywords:

economic growth, Solow model, physical capital investment, bottlenecks, capacity utilisation, economic fluctuations

Abstract

The aim of the study presented in the paper is to verify the hypothesis of non cyclical economic fluctuations; in particular, the hypothesis concerning the irregularity of causes and the hypothesis concerning the regularity of rebalancing the economy. Slow past GDP growth is taken as a symptom of disequilibrium, that is, the occurrence of either fixed asset bottlenecks or demand shortages. These two causes of disequilibrium arise irregularly in the economy. The hypothesis tested states that the slower the economic growth that occurred in the past, the stronger the compensatory GDP growth that will occur in the future. This is the regularity of rebalancing.
The method of least squares was used to estimate a modified Solow model for Poland’s GDP in the years 1994–2019. The most important modification consisted in replacing the dynamics of net physical capital, which is not available in Polish statistics, with the investment rate. The second reason for this modification is the inaccuracy of statistical data on gross physical capital, which cannot be avoided. Another modification was the introduction of lagged GDP growth into the model as an indicator of disequilibrium.
The hypothesis that the intensified occurrence of bottlenecks results in greater investment efficiency after 3–5 years has been confirmed. On the other hand, a slowdown in GDP growth results after 1–2 years in the accumulation of unused capacity, which enables a compensatory acceleration of economic growth. Thus, the hypothesis of the occurrence of non cyclical economic fluctuations in the Polish economy has been confirmed.

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References

Aghion P., Howitt P. (2009), The Economics of Growth, The MIT Press, Cambridge–London, http://digamo.free.fr/aghionh9.pdf [accessed: 20.01.2023].
Google Scholar

Arrow K.J. (1962), The Economic Implications of Learning by Doing, “Review of Economic Studies”, vol. 29, no. 3, pp. 155–173.
Google Scholar DOI: https://doi.org/10.2307/2295952

Autor D., Salomons A. (2018), Is Automation Labor Share–Displacing? Productivity Growth, Employment, and the Labor Share, “Brookings Papers on Economic Activity”, pp. 1–63, http://www.jstor.org/stable/26506212 [accessed: 20.01.2023].
Google Scholar DOI: https://doi.org/10.1353/eca.2018.0000

Baranowski P. (2008), Problem optymalnej stopy inflacji w modelowaniu wzrostu gospodarczego, Wydawnictwo Biblioteka, Łódź, https://dspace.uni.lodz.pl/xmlui/bitstream/handle/11089/1866/Problem_optymalnej_stopy_inflacji.pdf?sequence=4&isAllowed=y [accessed: 20.01.2023].
Google Scholar

Besomi D. (2005), Clément Juglar and the transition from crises theory to business cycle theories, [in:] Conference on the occasion of the centenary of the death of Clément Juglar, Paris, https://www.unil.ch/files/live/sites/cwp/files/users/neyguesi/public/D._Besomi [accessed: 11.01.2023].
Google Scholar

Biddle J. (2012), Retrospectives: The Introduction of the Cobb–Douglas Regression, “The Journal of Economic Perspectives”, vol. 26, no. 2, pp. 223–236, http://www.jstor.org/stable/41495312 [accessed: 20.01.2023].
Google Scholar DOI: https://doi.org/10.1257/jep.26.2.223

Burns A.F., Mitchell W.C. (1946), Stable and Irregular Features of Cyclical Behavior, [in:] A.F. Burns, W.C. Mitchell (eds.), Measuring Business Cycles, National Bureau of Economic Research, New York, pp. 466–508.
Google Scholar

Cobb C.W., Douglas P.H. (1928), A Theory of Production, “American Economic Review”, vol. 18, pp. 139–165, http://digamo.free.fr/cobbdoug28.pdf [accessed: 22.05.2024].
Google Scholar

Douglas P.H. (1976), The Cobb–Douglas Production Function Once Again: Its History, Its Testing, and Some New Empirical Values, “Journal of Political Economy”, vol. 84, no. 5, pp. 903–915, https://doi.org/10.1086/260489
Google Scholar DOI: https://doi.org/10.1086/260489

Dykas P., Tokarski T., Wisła R. (2022), The Solow Model, [in:] P. Dykas, T. Tokarski, R. Wisła, The Solow Model of Economic Growth. Application to Contemporary Macroeconomic Issues, Routledge, London–New York, pp. 16–40, https://doi.org/10.4324/9781003323792-3
Google Scholar DOI: https://doi.org/10.4324/9781003323792-3

Easterly W., Levine R. (2001), It’s Not Factor Accumulation: Stylized Facts and Growth Models, “The World Bank Economic Review”, vol. 15, no. 2, pp. 177–219, http://www.jstor.org/stable/3990260 [accessed: 20.01.2023].
Google Scholar DOI: https://doi.org/10.1093/wber/15.2.177

Friedman M. (1993), The Plucking Model of Business Fluctuations Revisited, “Economic Inquiry”, vol. 31, no. 2, pp. 171–177.
Google Scholar DOI: https://doi.org/10.1111/j.1465-7295.1993.tb00874.x

Górajski M., Błażej M. (2020), A control function approach to measuring the total factor productivity of enterprises in Poland, “Bank i Kredyt”, vol. 51, no. 3, pp. 293–316.
Google Scholar

Gradzewicz M., Mućk J. (2019), Globalization and the fall of markups, “NBP Working Paper”, no. 304, http://www..researchgate.net/publication/331559276_Globalization_and_the_fall_of_markups [accessed: 11.01.2023].
Google Scholar

Hendry D.F. (2009), The Methodology of Empirical Econometric Modeling: Applied Econometrics Through the Looking Glass, [in:] T.C. Mills, K. Patterson (eds.), Palgrave Handbook of Econometrics, Palgrave Macmillan, London, pp. 3–67, https://doi.org/10.1057/9780230244405_1
Google Scholar DOI: https://doi.org/10.1057/9780230244405_1

Holden K. (2005), Macroeconomic Forecasting, [in:] D. Greenaway, M. Bleaney, I. Steward (eds.), A Guide to Modern Economics, Taylor & Francis e-Library, London, pp. 163–181.
Google Scholar

Jones Ch.I. (2000), A Note on the Closed-Form Solution of the Solow Model, http://www-leland.stanford.edu/~chadj/closedform.pdf [accessed: 9.03.2022].
Google Scholar

Kahn R.F. (1972), The Relation of Home Investment to Unemployment, [in:] R.F. Kahn (ed.), Selected Essays on Employment and Growth, Cambridge University Press, New York, pp. 1–27.
Google Scholar

Kalecki M. (1958), Teoria dynamiki gospodarczej, Państwowe Wydawnictwo Naukowe, Warszawa.
Google Scholar

Krawiec A., Szydłowski M. (2017), Economic growth cycles driven by investment delay, “Economic Modelling”, vol. 67, pp. 175–183, https://doi.org/10.1016/j.econmod.2016.11.014
Google Scholar DOI: https://doi.org/10.1016/j.econmod.2016.11.014

Kydland F.E., Prescott E.C. (1982), Time to Build and Aggregate Fluctuations, “Econometrica”, vol. 50, no. 6, pp. 1345–1370, http://www.finnkydland.com/papers/Time%20to%20Build%20and%20Aggregate%20Fluctuations.pdf [accessed:1.02.2023].
Google Scholar DOI: https://doi.org/10.2307/1913386

Majsterek M. (2008), Wielowymiarowa analiza kointegracyjna w ekonomii, Wydawnictwo Uniwersytetu Łódzkiego, Łódź.
Google Scholar

Mućk J., McAdam P., Growiec J. (2018), Will the “True” Labor Share Stand Up? An Applied Survey on Labor Share Measures, “Journal of Economic Surveys”, vol. 32(4), pp. 961–984.
Google Scholar DOI: https://doi.org/10.1111/joes.12252

Munguía R., Davalos J., Urzua S. (2019), Estimation of the Solow-Cobb–Douglas economic growth model with a Kalman filter: An observability-based approach, “Heliyon”, vol. 5(6), https://doi.org/10.1016/j.heliyon.2019.e01959
Google Scholar DOI: https://doi.org/10.1016/j.heliyon.2019.e01959

Nagakawa T. (2008), Business Fluctuation and Cycles, Nova Science Publisher, New York.
Google Scholar

Nerlove M. (1972), Lags in Economic Behavior, “Econometrica”, vol. 40, no. 2, pp. 221–251, https://www.jstor.org/stable/1909403 [accessed: 23.05.2020].
Google Scholar DOI: https://doi.org/10.2307/1909403

Pasinetti L.L. (2008), Kahn, Richard Ferdinand (1905–1989), [in:] M. Vernengo, E. Perez Caldentey, B.J. Rosser Jr. (eds.), The New Palgrave Dictionary of Economics, Palgrave Macmillan, London, pp. 7195–7198, https://doi.org/10.1057/978-1-349-95121-5_1088-2
Google Scholar DOI: https://doi.org/10.1057/978-1-349-95189-5_1088

Romer C.D. (2008), Business Cycles, http://www.econlib.org/library/Enc/BusinessCycles.html [accessed: 20.01.2023].
Google Scholar

Romer P.M. (1986), Increasing Returns and Long Run Growth, “Journal of Political Economy”, vol. 94, no. 5, pp. 1002–1037, https://www.parisschoolofeconomics.eu/docs/darcillon-thibault/paul-romer-increasing-returns-and-long-run-growth.pdf [accessed: 17.01.2019].
Google Scholar DOI: https://doi.org/10.1086/261420

Romer P.M. (1994), The Origins of Endogenous Growth, “Journal of Economic Perspectives”, vol. 8, no. 1, pp. 3–22, https://pubs.aeaweb.org/doi/pdf/10.1257/jep.8.1.3
Google Scholar DOI: https://doi.org/10.1257/jep.8.1.3

Sasaki H., (2017), A Note on the Solow Growth Model with a CES Production Function and Declining Population, “Munich Personal RePec Archive”, no. 80062, https://mpra.ub.uni-muenchen.de/80062/1/MPRA_paper_80062.pdf [accessed: 20.01.2023].
Google Scholar

Slichter S.H., Black J.D. (1928), Economic and Social Aspects of Increased Productive Efficiency – Discussion, “The American Economic Review”, vol. 18, no. 1, pp. 166–172, http://www.jstor.org/stable/1811557 [accessed: 20.01.2023].
Google Scholar

Solow R.M. (1956), A Contribution to the Theory of Economic Growth, “Quarterly Journal of Economics”, vol. 70, pp. 65–94.
Google Scholar DOI: https://doi.org/10.2307/1884513

Solow R.M. (1988), Growth theory and after, “The American Economic Review”, vol. 78 (3), pp. 307–317.
Google Scholar

Stigum B.P. (2003), Econometrics and the Philosophy of Economics: Theory-Data Confrontations in Economics, Princeton University Press, Princeton–Oxford, https://doi.org/10.1515/9781400873234
Google Scholar DOI: https://doi.org/10.1515/9781400873234

Sztaudynger J.J. (2005), Wzrost gospodarczy a kapitał społeczny, prywatyzacja i inflacja, Wydawnictwo Naukowe PWN, Warszawa.
Google Scholar

Sztaudynger J.M. (2022), The Dynamics of Physical Capital Substitution for Investment Output Ratio in the Solow Model, [in:] J.J. Sztaudynger (ed.), Economic Growth. Social Capital, Family, Inequality of Income, Quality of Life, Bottlenecks. Selected papers from 2018 to 2022, Wydawnictwo Uniwersytetu Łódzkiego, Łódź, pp. 141–143, https://doi.org/10.18778/8331-030-5
Google Scholar DOI: https://doi.org/10.18778/8331-030-5

Sztaudynger J.M., Sztaudynger J.J. (2019), Wzrost gospodarczy a inwestycje – znaczenie wąskich gardeł, “Ekonomista”, no. 6, pp. 680–700, http://www.pte.pl/pliki/1/8905/E2019-6_31-51.pdf [accessed: 20.01.2023].
Google Scholar DOI: https://doi.org/10.52335/dvqp.te143

Sztaudynger J.M., Sztaudynger J.J. (2022), The Impact of Supply Bottlenecks on Investment Efficiency, “Ekonomista”, no. 1, pp. 23–40, http://www.pte.pl/pliki/1/8905/Ekonomista_1-22_2.pdf [accessed: 20.01.2023].
Google Scholar DOI: https://doi.org/10.52335/dvqigjykff47

Tokarski T. (2009), The Supply Side Determinants of Economic Growth, [in:] W. Welfe (ed.), Knowledge Based Economies. Models and Methods, Peter Lang, Frankfurt am Main–Berlin–Bern–Bruxelles–New York–Oxford–Wien, pp. 25–48.
Google Scholar

Xu Z., Li X., Zhang C., Zhu J., Zhang S., Lu K. (2022), Estimation and Dynamic Evolution of Provincial Factor – Output Elasticity in China, “Journal of Advanced Computational Intelligence and Intelligent Informatics”, vol. 26, no. 5, pp. 792–800, https://doi.org/10.20965/jaciii.2022.p0792
Google Scholar DOI: https://doi.org/10.20965/jaciii.2022.p0792

Published

2024-07-17

How to Cite

Sztaudynger, J. M. (2024). Non-Cyclical Fluctuations in GDP Growth in Poland. Acta Universitatis Lodziensis. Folia Oeconomica, 2(367), 22–43. https://doi.org/10.18778/0208-6018.367.02

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