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Analysis of Non-tax Revenue: Evidence from the European Union

Author

Listed:
  • Volkan Yurdadog

    (University of Cukurova, Adana, Turkey)

  • Neslihan Coskun Karadag

    (University of Cukurova, Adana, Turkey)

  • Murat Albayrak

    (University of Cukurova, Adana, Turkey)

  • Oguzhan Bozatli

    (University of Osmaniye Korkut Ata, Osmaniye, Turkey)

Abstract

The challenges states face in reducing government expenditures under certain budget constraints are putting pressure on states to increase their revenues. Given that taxation also has a limit, the importance of non-tax revenues (NTR) in financing growing government expenditures increases day by day. In this sense, our study first analyzes the historical and theoretical foundations of NTR in the European Union (EU). Subsequently, from 1995 to 2018, NTR's determinants and their interrelationships were analyzed using panel data analysis and panel causality methods. The findings point to statistically significant and robust effects of general and central government expenditures (except local government expenditures), tax revenues, and GDP on the NTR. According to panel causality results, there is unidirectional causality from independent variables (General, Central and Local Government Expenditure, Tax Revenue, GDP) to NTR, and unidirectional causality from NTR to independent variables (except GDP). In other words, there is bidirectional causality between NTR and independent variables, except for GDP.

Suggested Citation

  • Volkan Yurdadog & Neslihan Coskun Karadag & Murat Albayrak & Oguzhan Bozatli, 2022. "Analysis of Non-tax Revenue: Evidence from the European Union," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 24(60), pages 485-485, April.
  • Handle: RePEc:aes:amfeco:v:24:y:2022:i:60:p:485
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    References listed on IDEAS

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    1. Ullah, Nazim, 2016. "The relationship of government revenue and government expenditure: a case study of Malaysia," MPRA Paper 69123, University Library of Munich, Germany.
    2. A. Bhargava & L. Franzini & W. Narendranathan, 2006. "Serial Correlation and the Fixed Effects Model," World Scientific Book Chapters, in: Econometrics, Statistics And Computational Approaches In Food And Health Sciences, chapter 4, pages 61-77, World Scientific Publishing Co. Pte. Ltd..
    3. Hashem Pesaran, M. & Yamagata, Takashi, 2008. "Testing slope homogeneity in large panels," Journal of Econometrics, Elsevier, vol. 142(1), pages 50-93, January.
    4. Gilles Mourre & Adriana Reut, 2019. "Non-tax revenue in the European Union: A source of fiscal risk?," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 26(1), pages 198-223, February.
    5. Morrison,Kevin M., 2015. "Nontaxation and Representation," Cambridge Books, Cambridge University Press, number 9781107076778.
    6. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    7. Dumitrescu, Elena-Ivona & Hurlin, Christophe, 2012. "Testing for Granger non-causality in heterogeneous panels," Economic Modelling, Elsevier, vol. 29(4), pages 1450-1460.
    8. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    9. Pesaran, M. Hashem & Vanessa Smith, L. & Yamagata, Takashi, 2013. "Panel unit root tests in the presence of a multifactor error structure," Journal of Econometrics, Elsevier, vol. 175(2), pages 94-115.
    10. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    11. Morrison, Kevin M., 2009. "Oil, Nontax Revenue, and the Redistributional Foundations of Regime Stability," International Organization, Cambridge University Press, vol. 63(1), pages 107-138, January.
    12. John C. Driscoll & Aart C. Kraay, 1998. "Consistent Covariance Matrix Estimation With Spatially Dependent Panel Data," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 549-560, November.
    13. Ivanyna, Maksym & von Haldenwang, Christian, 2012. "A comparative view on the tax performance of developing countries: Regional patterns, non-tax revenue and governance," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 6, pages 1-44.
    14. Roshaiza Taha & Nanthakumar Loganathan, 2008. "Causality Between Tax Revenue And Government Spending In Malaysia," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 2(2), pages 63-73.
    15. Baltagi, Badi H. & Wu, Ping X., 1999. "Unequally Spaced Panel Data Regressions With Ar(1) Disturbances," Econometric Theory, Cambridge University Press, vol. 15(6), pages 814-823, December.
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    More about this item

    Keywords

    Non-Tax Revenue; Panel Data Analysis; Panel Causality; European Union;
    All these keywords.

    JEL classification:

    • H20 - Public Economics - - Taxation, Subsidies, and Revenue - - - General
    • H27 - Public Economics - - Taxation, Subsidies, and Revenue - - - Other Sources of Revenue
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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