IDEAS home Printed from https://ideas.repec.org/a/aes/amfeco/v24y2022i60p485.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://www.amfiteatrueconomic.ro/temp/Article_3113.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hashem Pesaran, M. & Yamagata, Takashi, 2008. "Testing slope homogeneity in large panels," Journal of Econometrics, Elsevier, vol. 142(1), pages 50-93, January.
    2. 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.
    3. Ullah, Nazim, 2016. "The relationship of government revenue and government expenditure: a case study of Malaysia," MPRA Paper 69123, University Library of Munich, Germany.
    4. 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..
    5. 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.
    6. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    7. 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.
    8. 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.
    9. 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.
    10. Morrison,Kevin M., 2015. "Nontaxation and Representation," Cambridge Books, Cambridge University Press, number 9781107076778.
    11. 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.
    12. Dumitrescu, Elena-Ivona & Hurlin, Christophe, 2012. "Testing for Granger non-causality in heterogeneous panels," Economic Modelling, Elsevier, vol. 29(4), pages 1450-1460.
    13. 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.
    14. 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.
    15. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Khan, Anwar & Chenggang, Yang & Hussain, Jamal & Kui, Zhou, 2021. "Impact of technological innovation, financial development and foreign direct investment on renewable energy, non-renewable energy and the environment in belt & Road Initiative countries," Renewable Energy, Elsevier, vol. 171(C), pages 479-491.
    2. Saboori, Behnaz & Gholipour, Hassan F. & Rasoulinezhad, Ehsan & Ranjbar, Omid, 2022. "Renewable energy sources and unemployment rate: Evidence from the US states," Energy Policy, Elsevier, vol. 168(C).
    3. Rizwana Yasmeen & Ihtsham Ul Haq Padda & Xing Yao & Wasi Ul Hassan Shah & Muhammad Hafeez, 2022. "Agriculture, forestry, and environmental sustainability: the role of institutions," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(6), pages 8722-8746, June.
    4. Kostakis, Ioannis & Arauzo-Carod, Josep-Maria, 2023. "The key roles of renewable energy and economic growth in disaggregated environmental degradation: Evidence from highly developed, heterogeneous and cross-correlated countries," Renewable Energy, Elsevier, vol. 206(C), pages 1315-1325.
    5. Perekunah B. Eregha & Solomon P. Nathaniel & Xuan Vinh Vo, 2023. "Economic growth, environmental regulations, energy use, and ecological footprint linkage in the Next-11 countries: Implications for environmental sustainability," Energy & Environment, , vol. 34(5), pages 1327-1347, August.
    6. Wolde-Rufael, Yemane & Mulat-Weldemeskel, Eyob, 2023. "Is natural capital a blessing or a curse for capital accumulation in low income countries?," Resources Policy, Elsevier, vol. 85(PA).
    7. Ayhan, Fatih & Elal, Onuray, 2023. "The IMPACTS of technological change on employment: Evidence from OECD countries with panel data analysis," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    8. Chang, Chiu-Lan & Fang, Ming, 2022. "Renewable energy-led growth hypothesis: New insights from BRICS and N-11 economies," Renewable Energy, Elsevier, vol. 188(C), pages 788-800.
    9. Hussein Moghaddam & Robert M. Kunst, 2023. "The Role of Natural Gas in Mitigating Greenhouse Gas Emissions: The Environmental Kuznets Curve Hypothesis for Major Gas-Producing Countries," Sustainability, MDPI, vol. 15(5), pages 1-20, February.
    10. Aladejare, Samson Adeniyi, 2022. "Natural resource rents, globalisation and environmental degradation: New insight from 5 richest African economies," Resources Policy, Elsevier, vol. 78(C).
    11. Ma, Yechi & Chen, Zhiguo & Shinwari, Riazullah & Khan, Zeeshan, 2021. "Financialization, globalization, and Dutch disease: Is Dutch disease exist for resources rich countries?," Resources Policy, Elsevier, vol. 72(C).
    12. Sun, Chuanwang & Khan, Anwar & Liu, Yongzhe & Lei, Ni, 2022. "An analysis of the impact of fiscal and monetary policy fluctuations on the disaggregated level renewable energy generation in the G7 countries," Renewable Energy, Elsevier, vol. 189(C), pages 1154-1165.
    13. Olympia Frogoudaki & Eleni Sardianou & Konstadinos Abeliotis & Ioannis Kostakis, 2024. "Assessing Determinants of E-waste in Eurozone Countries: An Empirical Study," Circular Economy and Sustainability, Springer, vol. 4(3), pages 2221-2240, September.
    14. Li, Xuelin & Yang, Lin, 2023. "Natural resources, remittances and carbon emissions: A Dutch Disease perspective with remittances for South Asia," Resources Policy, Elsevier, vol. 85(PB).
    15. Han, Zhanbing & Heng, Yixin, 2024. "Do fintech and trade diversification discard the natural resource dependency in MENA countries?," Resources Policy, Elsevier, vol. 89(C).
    16. Adolfo Maza & Paula Gutiérrez-Portilla, 2022. "Outward FDI and exports relation: A heterogeneous panel approach dealing with cross-sectional dependence," International Economics, CEPII research center, issue 170, pages 174-189.
    17. Lorena Olmos, 2020. "Factores explicativos de la generación de residuos municipales en Catalunya," Studies on the Spanish Economy eee2020-10, FEDEA.
    18. Seçkin Kabak & Tuðçe Dallý, 2023. "Gibson Paradox: Panel Data Analysis on ASEAN-T Countries," International Econometric Review (IER), Econometric Research Association, vol. 15(1), pages 12-27, March.
    19. Hikmet Akyol & Selim Basar, 2024. "Empirical Analysis of Turkish Banking Sector Institutional and Macroeconomic Determinants of Risks," Istanbul Journal of Economics-Istanbul Iktisat Dergisi, Istanbul University, Faculty of Economics, vol. 73(74-1), pages 59-98, June.
    20. Barkat, Karim & Sbia, Raschid & Maouchi, Youcef, 2019. "Empirical evidence on the long and short run determinants of health expenditure in the Arab world," The Quarterly Review of Economics and Finance, Elsevier, vol. 73(C), pages 78-87.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aes:amfeco:v:24:y:2022:i:60:p:485. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Valentin Dumitru (email available below). General contact details of provider: https://edirc.repec.org/data/aseeero.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.