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2022 | 14 | nr 4 | 351--379
Tytuł artykułu

Determinants of the VAT Gap in EU Member States from 2000 to 2016

Autorzy
Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The spectacular surge of Poland's VAT revenues after 2015 prompted a discussion about the role of the tax administration in collecting tax liabilities. Unfortunately, the scarcity of the available data prevents empirical studies from reaching reliable conclusions about the determinants of VAT revenues. Given that, this article presents a wider attempt at identifying the determinants of VAT revenues in the EU Member States. Using panel cointegration methods, several working hypotheses linking VAT gap to income factors, the business cycle, tax carousels, and an effectiveness of the government are evaluated. The results of the research provide evidence that the VAT gap in the EU countries is under a strong influence from variables approximating changes in per capita incomes, the business cycle, and the openness of an economy to intra-EU trade. The latter finding is a sufficient indication that the improvements made to Poland's tax system were both legitimate and effective. (original abstract)
Rocznik
Tom
14
Numer
Strony
351--379
Opis fizyczny
Twórcy
autor
  • University of Lodz, Poland
Bibliografia
  • [1] Agha A., Haughton I., (1996), Destinating VAT Systems: Some Efficiency Considerations, The Review of Economics and Statistics 78, 303-308.
  • [2] Aizenman J., Jinjarak Y., (2005), The Collection Efficiency of Value Added Tax: Theory and International Evidence, NBER Working Paper 11539, National Bureau of Economic Research, MA.
  • [3] Allingham M. G., Sandmo A., (1972), Income Tax Evasion: A Theoretical Analysis, Journal of Public Economics 1, 323-338.
  • [4] Andreoni J., Erard, B., Feinstein J., (1998), Tax Compliance, Journal of Economic Literature 36, 818-860.
  • [5] Bai J., Ng S., (2004), A PANIC Attack on Unit Roots and Cointegration, Econometrica 72, 1127-1177.
  • [6] Baltagi B. H., Kao C., (2001), Nonstationary Panels, Cointegration in Panels and Dynamic Panels: A Survey, [in:] Nonstationary Panels, Panel Cointegration, and Dynamic Panels (Advances in Econometrics), [eds.:] B. H. Baltagi, T. B. Fomby, R. C. Hill, Emerald Group Publishing Limited, Bingley, 7-51.
  • [7] Boschi M., d'Addona S., (2019), The Stability of Tax Elasticities over the Business Cycle in European Countries, Fiscal Studies 40, 175-210.
  • [8] Bratkowski A., Kotecki L., (2018), Luka VAT w świetle analiz makroekonomicznych (The VAT Gap in the Light of Macroeconomic Analyses), Unpublished Manuscript, Instytut Obywatelski, Warszawa.
  • [9] Carfora A., Dongiovanni S., Marabucci A, Pisani S., (2020), The Impact of Domestic Factors and Spillover Effects on EU countries VAT Gap, Argomenti di Discussione N. 01/2020, Agenzia Entrate, Rome.
  • [10] Duran-Cabré J.M., Esteller-Moré A., Salvadori L., (2020), Cyclical Tax Enforcement, Economic Inquiry 58, 1874-1893.
  • [11] European Commission, (2013), Study to Quantify and Analyse the VAT Gap in the EU-27 Member States. Report 2013, Publications Office of the European Union, available at: https://www.econstor.eu/bitstream/10419/119879/1/ 773133313.pdf.
  • [12] European Commission, (2014), 2012 Update Report to the Study to Quantify and Analyse the VAT Gap in the EU-27 Member States: Report 2014, Publications Office of the European Union, available at: https://data.europa.eu/doi/10. 2778/571352.
  • [13] European Commission, (2015), Study to Quantify and Analyze the VAT Gap in the EU Member States. 2015 Report, available at: https://taxation-customs. ec.europa.eu/system/files/2016-09/vat_gap2013.pdf.
  • [14] European Commission, (2016a), Study and Reports on the VAT Gap in the EU-28 Member States: Report 2016, Publications Office of the European Union, available at: https://data.europa.eu/doi/10.2778/417954.
  • [15] European Commission, (2016b), The Concept of Tax Gaps: Report on VAT Gap Estimations, Fiscalis Tax Gap Project Group (FPG/041), available at:https://taxation-customs.ec.europa.eu/system/files/2016-08/tgpg_report_en.pdf.
  • [16] European Commission, (2017), Study and Reports on the VAT Gap in the EU-28 Member States: Report 2017, Publications Office of the European Union, available at: https://data.europa.eu/doi/10.2778/371136.
  • [17] European Commission, (2018a), Study and Reports on the VAT Gap in the EU-28 Member States: Report 2018, Publications Office of the European Union, available at: https://taxation-customs.ec.europa.eu/ system/files/2018-10/2018_vat_gap_report_en.pdf.
  • [18] European Commision, (2018b), The Concept of Tax Gaps, Report III: MTIC Fraud Gap Estimation Methodologies, FISCALIS 2020 Tax Gap Project Group, subgroup VAT fraud (FPG/041), Brussels.
  • [19] European Commission, (2019), Study and Reports on the VAT Gap in the EU-28 Member States: Report 2019, Publications Office of the European Union, available at: https://data.europa.eu/doi/10.2778/04272.
  • [20] European Commission, (2020), Study and Reports on the VAT Gap in the EU-28 Member States: 2020 Final Report, Publications Office of the European Union, available at: https://taxation-customs.ec.europa.eu/ system/files/2020-09/vat-gap-full-report-2020_en.pdf.
  • [21] European Commission, (2021), VAT gap in the EU : Report 2021, Publications Office of the European Union, available at: https://data.europa.eu/doi/10. 2778/447556.
  • [22] Christie E., Holzner M., (2006), What Explains Tax Evasion? An Empirical Assessment Based on European Data, WIIW Working Papers no. 40, The Vienna Institute for International Economic Studies, Wien.
  • [23] Hutton E., (2017), The Revenue Administration - Gap Analysis Program: Model and Methodology for Value-Added Tax Gap Estimation, Technical Notes and Manuals 17/04, IMF, Washington.
  • [24] Im K., Pesaran H., Shin Y., (2003), Testing for Unit Roots in Heterogeneous Panels, Journal of Econometrics 115, 53-74.
  • [25] Kao C., (1999), Spurious Regression and Residuals-Based Tests for Cointegration in Panel Data, Journal of Econometrics 90, 1-44.
  • [26] Kao C., Chiang M.-H., (2000), On the Estimation and Inference of a Cointerated Regression in Panel Data, [in:] Nonstationary Panels, Panel Cointegration, and Dynamic Panels (Advances in Econometrics), [ed.:] B. H. Baltagi, JAI Press, Amsterdam, 161-178.
  • [27] Kębłowski P., (2009), Modelling Integrated Panel Data: An Overview, Chapter 6, [in:] Knowledge-Based Economies, [ed.:] W. Welfe, Peter Lang, Frankfurt am Main, 175-201.
  • [28] Klein L. R., Welfe A., Welfe W., (1999), Principles of Macroeconomic Modeling, Elsevier, Amsterdam.
  • [29] Konopczak K., (2020), Kwantyfikacja zmian luki VAT: podejście ekonometryczne (Quantification of Changes in the VAT Gap: An Econometric Approach), Gospodarka Narodowa 2(302)/2020, 25-42.
  • [30] Konopczak K., (2022), Zmiany luki VAT w Polsce: rola czynników koniunkturalnych i strukturalnych (Changes in the VAT Gap in Poland: The Role of Cyclical and Structural Factors), Gospodarka Narodowa 1(309)/2022, 44-65.
  • [31] Levin A., Lin Ch.-F., Chu Ch.-S., (2002), Unit Root Tests in Panel Data: Asymptotic and Finite-Sample Properties, Journal of Econometrics 108, 1-24.
  • [32] Luttmer E., Singhal M., (2014), Tax Morale, Journal of Economic Perspectives 28, 149-168.
  • [33] Marrelli M., (1984), On Indirect Tax Evasion, Journal of Public Economics 25, 181-196.
  • [34] Marrelli M., Martina R., (1988), Tax Evasion and Strategic Behaviour of the Firms, Journal of Public Economics 37, 55-69.
  • [35] Mark N. C., Sul D., (2003), Cointegration Vetor Estimation by Panel Dynamic OLS and Long-Run Money Demand, Oxford Bulletin of of Economics and Statistics 65, 655-680.
  • [36] Mathews K., (2003), VAT Evasion and VAT Avoidance: Is There a European Laffer Curve for VAT?, International Review for Applied Economics 17, 105114.
  • [37] Mazur T., Bach D., Juźwik A., Czechowicz I., Bieńkowska J., (2019), Raport na temat wielkości luki podatkowej w podatku VAT w Polsce w latach 2004-2017, MF Opracowania i Analizy no. 3-2019, Ministerstwo Finansów, Warszawa.
  • [38] Pedroni P., (1995), Panel Cointegration: Asyptotic and Finite Sample Properties of Pooled Time Series Test with an Application to the PPP Hypothesis, Indiana University Working Papers in Economics No. 95-13, Bloomington, IN.
  • [39] Pedroni P., (1999), Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors, Oxford Bulletin of Economics and Statistics 61, 653-670.
  • [40] Pedroni P., (2001), Purchasing Power Parity Tests in Cointegrated Panels, Review of Economics and Statistics 83, 727-731.
  • [41] Pedroni P., (2004), Panel Cointegration: Asymptotic and Finite Sample Properties of Pooled Time Series Tests with an Application to the PPP Hypothesis, Econometric Theory 20, 597-625.
  • [42] Pesaran H., Shin Y., (1998), An Autoregressive Distributed-Lag Modelling Approach to Cointegration Analysis, Econometric Society Monographs 31, 371413.
  • [43] Pesaran H., Shin Y., Smith R. P., (1999), Pooled Mean Group Estimation of Dynamic Heterogenous Panels, Journal of the American Statistical Association 94, 621-634.
  • [44] Phillips P. C. B., Hansen B. E., (1990), Statistical Inference in Instrumental Variables Regression with I(1) Processes, Review of Economics Studies 57, 99125.
  • [45] Philips P. C. B., Moon H. R., (1999), Linear Regression Limit Theory for Nonstationary Panel Data, Econometrica 67, 1057-1111.
  • [46] PIE, (2018), Zmniejszenie luki VAT w Polsce w latach 2016-2017, Polski Instytut Ekonomiczny, Warszawa, available at: https://pie.net.pl/wp-content/uploads/2019/01/Raport-LUKA-VAT.pdf.
  • [47] Reckon LLP, (2009), Study to Quantify and Qnalyse the VAT Gap in the EU-25 Member States, available at: https://op.europa.eu/en/publication-detail/-/publication/70e72b0e-27e3-11ec-bd8e-01aa75ed71a1.
  • [48] Saikkonen P., (1991), Asymptotically Efficient Estimation of Cointegrating Regressions, Econometric Theory 7, 1-21.
  • [49] Saikkonen P., (1992) Estimation and Testing of Cointegrated Systems by an Autoregressive Approximation, Econometric Theory 8, 1-27.
  • [50] Sancak C., Velloso R., Xing J., (2010), The Evolution of Potential VAT Revenues and C-Efficiency in Advanced Economies, IMF Working Paper 17/158, IMF, Washington.
  • [51] Stock J. H., Watson M., (1993), A Simple Estimator Of Cointegrating Vectors In Higher Order Integrated Systems, Econometrica 61, 783-820.
  • [52] Szczypińska A., (2018), Luka VAT w UE, MF Working Paper Series no. 28-2018, Ministry of Finance, Warsaw.
  • [53] Ueda J., (2017), The Evolution of Potential VAT Revenues and C-Efficiency in Advanced Economies, IMF Working Paper 17/158, IMF, Washington.
  • [54] Wagner M., Hlouskova J., (2010), The Performance of Panel Cointegration Methods: Results from a Large Scale Simulation Study, Econometric Reviews 29, 182-223.
  • [55] Zidkova H., (2014), Determinants of VAT Gap in EU, Prague Economic Papers 4, 514-530.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171664909

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