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The relationship between budgetary expenditure and economic growth in Poland

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  • Gurgul, Henryk
  • Lach, Łukasz
  • Mestel, Roland

Abstract

This paper investigates the association between different kinds of budgetary expenditure and economic growth of Poland. The empirical analysis makes use of linear and nonlinear Granger causality tests to evaluate the applicability of Wagner’s Law and that of the contrasting Keynesian theory.We employ aggregate and disaggregate data with the sub-categories of most important budgetary expenditure, including health care and social security, education and science, national defence and public security expenditure and government administration expenditure for the period Q1 2000 to Q3 2008. This causality analysis indicates that total relation between budgetary expenditure and economic growth is consistent with Keynesian theory. The results of our computations have important policy implications. In case of Poland the health care expenditure was found to be as important for economic growth as expenditures on education and science. Furthermore, in order to stimulate economic growth, Polish government should consider reallocating some of national defence, public security and government administration expenditure to health care, social security, education and science expenditure.

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  • Gurgul, Henryk & Lach, Łukasz & Mestel, Roland, 2012. "The relationship between budgetary expenditure and economic growth in Poland," MPRA Paper 52304, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:52304
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    2. Souad HAMMAMI* & Mounir SMIDA, 2022. "What Is The Role Of The Banking Sector In Economic Growth? Case of Tunisian Banks," Noble International Journal of Economics and Financial Research, Noble Academic Publsiher, vol. 7(1), pages 24-31, March.
    3. René Cabral & André Varella Mollick & Eduardo Saucedo, 2016. "Violence in Mexico and its effects on labor productivity," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(2), pages 317-339, March.
    4. Andrew Phiri, 2017. "Nonlinearities in Wagner's law: further evidence from South Africa," International Journal of Sustainable Economy, Inderscience Enterprises Ltd, vol. 9(3), pages 231-249.
    5. Selim Demez, 2021. "Validity of Wagner’s Law in EU Member Transition Economies: Panel Causality Analysis," Journal of Economic Policy Researches, Istanbul University, Faculty of Economics, vol. 8(2), pages 199-210, July.
    6. Goodness C. Aye & Mehmet Balcilar & John P. Dunne & Rangan Gupta & Rene� van Eyden, 2014. "Military expenditure, economic growth and structural instability: a case study of South Africa," Defence and Peace Economics, Taylor & Francis Journals, vol. 25(6), pages 619-633, December.
    7. Khalid Zaman & Bashir Khilji, 2014. "A note on pro-poor social expenditures," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(4), pages 2121-2154, July.
    8. Suzana Balaban & Dejan Živkov, 2021. "Validity of Wagner’s Law in Transition Economies: A Multivariate Approach," Hacienda Pública Española / Review of Public Economics, IEF, vol. 236(1), pages 105-131, March.
    9. Souad Hammami & Mounir Smida, 2022. "What Is The Role Of The Banking Sector In Economic Growth? Case of Tunisian Banks," Post-Print hal-04745604, HAL.
    10. Omoshoro-Jones, Oyeyinka Sunday, 2016. "A Cointegration and Causality Test on Government Expenditure –Economic Growth Nexus: Empirical Evidence from a South African Province," MPRA Paper 102085, University Library of Munich, Germany, revised 17 Oct 2017.
    11. Bilal KARGI, 2016. "Is Wagner’s law applicable for fast growing economies? BRICS and MATIK countries," Timisoara Journal of Economics and Business, West University of Timisoara, Romania, Faculty of Economics and Business Administration, vol. 9(1), pages 1-15, June.

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    More about this item

    Keywords

    government expenditure; Linear and nonlinear causality; bootstrap techniques;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • O10 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - General
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General

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