IDEAS home Printed from https://ideas.repec.org/p/ces/ceswps/_11333.html
   My bibliography  Save this paper

Measuring Tax Burden Efficiency in OECD Countries: An International Comparison

Author

Listed:
  • António Afonso
  • Ana Patricia Montes
  • José M. Domínguez

Abstract

In this paper, we estimate the potential tax burden in a panel data set comprising OECD countries over the period 2000-2021. To this end, we use non-parametric and parametric techniques: Data Envelopment Analysis (DEA) and Stochastic Frontier Analysis (SFA). In this way, it will be possible for us to identify which countries are close to their potential tax capacity and which are far from it. Moreover, we can determine whether they may sustain an increase (decrease) in their actual tax burden depending on whether the tax effort ratio is lower or higher relatively to other similar countries in the sample. Non-parametric and parametric results coincide rather closely on the positioning of the countries vis-à-vis the production possibility frontier and on their relative distances to the frontier. Efficient countries most of the times are: Belgium, Colombia, Finland, France, Italy, Latvia, Slovak Republic, and Sweden.

Suggested Citation

  • António Afonso & Ana Patricia Montes & José M. Domínguez, 2024. "Measuring Tax Burden Efficiency in OECD Countries: An International Comparison," CESifo Working Paper Series 11333, CESifo.
  • Handle: RePEc:ces:ceswps:_11333
    as

    Download full text from publisher

    File URL: https://www.cesifo.org/DocDL/cesifo1_wp11333.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Ant Afonso & Miguel St. Aubyn, 2013. "Public and private inputs in aggregate production and growth: a cross-country efficiency approach," Applied Economics, Taylor & Francis Journals, vol. 45(32), pages 4487-4502, November.
    2. António Afonso & João Tovar Jalles & Ana Venâncio, 2021. "Structural Tax Reforms and Public Spending Efficiency," Open Economies Review, Springer, vol. 32(5), pages 1017-1061, November.
    3. Celikay, Ferdi, 2020. "Dimensions of tax burden: a review on OECD countries," Journal of Economics, Finance and Administrative Science, Universidad ESAN, vol. 25(49), pages 27-43.
    4. Burgess, Robin & Stern, Nicholas, 1993. "Taxation and Development," Journal of Economic Literature, American Economic Association, vol. 31(2), pages 762-830, June.
    5. Feenberg, Daniel R. & Rosen, Harvey S., 1987. "Tax structure and public sector growth," Journal of Public Economics, Elsevier, vol. 32(2), pages 185-201, March.
    6. Rafael La Porta & Andrei Shleifer, 2014. "Informality and Development," Journal of Economic Perspectives, American Economic Association, vol. 28(3), pages 109-126, Summer.
    7. Ant�nio Afonso & João Tovar Jalles, 2014. "Causality for the government budget and economic growth," Applied Economics Letters, Taylor & Francis Journals, vol. 21(17), pages 1198-1201, November.
    8. Victor Barros & Joao Tovar Jalles & Joaquim Miranda Sarmento, 2023. "Drivers of the Tax Effort: Evidence from a Large Panel," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 65(1), pages 96-136, March.
    9. Dutu Richard & Sicari Patrizio, 2020. "Public Spending Efficiency in the OECD: Benchmarking Health Care, Education, and General Administration," Review of Economic Perspectives, Sciendo, vol. 20(3), pages 253-280, September.
    10. Gordon, Roger & Li, Wei, 2009. "Tax structures in developing countries: Many puzzles and a possible explanation," Journal of Public Economics, Elsevier, vol. 93(7-8), pages 855-866, August.
    11. Aras Zirgulis & Tadas Šarapovas, 2017. "Impact of corporate taxation on unemployment," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 18(3), pages 412-426, May.
    12. Frederick Solt, 2020. "Measuring Income Inequality Across Countries and Over Time: The Standardized World Income Inequality Database," Social Science Quarterly, Southwestern Social Science Association, vol. 101(3), pages 1183-1199, May.
    13. repec:idq:ictduk:13663 is not listed on IDEAS
    14. Anuradha Joshi & Wilson Prichard & Christopher Heady, 2014. "Taxing the Informal Economy: The Current State of Knowledge and Agendas for Future Research," Journal of Development Studies, Taylor & Francis Journals, vol. 50(10), pages 1325-1347, November.
    15. Maria Alessandra Antonelli & Valeria De Bonis, 2019. "The efficiency of social public expenditure in European countries: a two-stage analysis," Applied Economics, Taylor & Francis Journals, vol. 51(1), pages 47-60, January.
    16. Mawejje, Joseph & Sebudde, Rachel K., 2019. "Tax revenue potential and effort: Worldwide estimates using a new dataset," Economic Analysis and Policy, Elsevier, vol. 63(C), pages 119-129.
    17. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    18. António Afonso & Ludger Schuknecht & Vito Tanzi, 2005. "Public sector efficiency: An international comparison," Public Choice, Springer, vol. 123(3), pages 321-347, June.
    19. Attiya Y. Javid & Umaima Arif, 2012. "Analysis of Revenue Potential and Revenue Effort in Developing Asian Countries," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 51(4), pages 365-380.
    20. Antonio Afonso & Ludger Schuknecht & Vito Tanzi, 2010. "Public sector efficiency: evidence for new EU member states and emerging markets," Applied Economics, Taylor & Francis Journals, vol. 42(17), pages 2147-2164.
    21. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    22. Carola Pessino & Ricardo Fenochietto, 2010. "Determining countries’ tax effort," Hacienda Pública Española / Review of Public Economics, IEF, vol. 195(4), pages 65-87, december.
    23. Musharraf Cyan & Jorge Martinez-Vazquez & VIoleta Vulovic, 2013. "Measuring tax effort: Does the estimation approach matter and should effort be linked to expenditure goals?," International Center for Public Policy Working Paper Series, at AYSPS, GSU paper1308, International Center for Public Policy, Andrew Young School of Policy Studies, Georgia State University.
    24. Coelli, Tim & Perelman, Sergio, 1999. "A comparison of parametric and non-parametric distance functions: With application to European railways," European Journal of Operational Research, Elsevier, vol. 117(2), pages 326-339, September.
    25. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    26. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    27. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    28. repec:pid:journl:v:51:y:2012:i:4:p:365-378 is not listed on IDEAS
    29. Bird, Richard M. & Martinez-Vazquez, Jorge & Torgler, Benno, 2008. "Tax Effort in Developing Countries and High Income Countries: The Impact of Corruption, Voice and Accountability," Economic Analysis and Policy, Elsevier, vol. 38(1), pages 55-71, March.
    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. MAIMOUNA DIAKITE & Jean-François BRUN, 2016. "Tax Potential and Tax Effort: An Empirical Estimation for Non-Resource Tax Revenue and VAT’s Revenue," EcoMod2016 9537, EcoMod.
    2. António Afonso & João Tovar Jalles & Ana Venâncio, 2023. "Government Spending and Tax Revenue Decentralization and Public Sector Efficiency: Do Natural Disasters matter?," Working Papers REM 2023/0271, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    3. López-Herrera, Carmen & Cordero, José M. & Pedraja-Chaparro, Francisco & Polo, Cristina, 2023. "Fiscal rules and their influence on public sector efficiency," MPRA Paper 119018, University Library of Munich, Germany.
    4. Chien-Ming Chen & Magali A. Delmas & Marvin B. Lieberman, 2015. "Production frontier methodologies and efficiency as a performance measure in strategic management research," Strategic Management Journal, Wiley Blackwell, vol. 36(1), pages 19-36, January.
    5. António Afonso & João Tovar Jalles & Ana Venâncio, 2024. "A tale of government spending efficiency and trust in the state," Public Choice, Springer, vol. 200(1), pages 89-118, July.
    6. Jean-François Brun & Constantin Thierry Compaore, 2021. "Public Expenditures Efficiency On Education Distribution in Developing Countries," CERDI Working papers hal-03116615, HAL.
    7. António Afonso & José Alves, 2023. "Are fiscal consolidation episodes helpful for public sector efficiency?," Applied Economics, Taylor & Francis Journals, vol. 55(31), pages 3547-3560, July.
    8. Noel Uri, 2003. "The Effect of Incentive Regulation in Telecommunications in the United States," Quality & Quantity: International Journal of Methodology, Springer, vol. 37(2), pages 169-191, May.
    9. Alessandra Cepparulo & Gilles Mourre, 2020. "How and How Much? The Growth-Friendliness of Public Spending through the Lens," European Economy - Discussion Papers 132, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    10. Philippe K. Widmer & Peter Zweifel, 2008. "Public Good Provision in a Federalist Country: Tiebout Competition, Fiscal Equalization, and Incentives for Efficiency in Switzerland," SOI - Working Papers 0804, Socioeconomic Institute - University of Zurich, revised Dec 2010.
    11. Utpal Kumar De & Christopher P. P. Shafuda, 2023. "Performance and Efficiency of Public Sector in Independent Namibia," South Asian Journal of Macroeconomics and Public Finance, , vol. 12(2), pages 160-185, December.
    12. Andor, Mark A. & Parmeter, Christopher & Sommer, Stephan, 2019. "Combining uncertainty with uncertainty to get certainty? Efficiency analysis for regulation purposes," European Journal of Operational Research, Elsevier, vol. 274(1), pages 240-252.
    13. Vaninsky, Alexander, 2010. "Prospective national and regional environmental performance: Boundary estimations using a combined data envelopment – stochastic frontier analysis approach," Energy, Elsevier, vol. 35(9), pages 3657-3665.
    14. Thanh Ngo & Kan Wai Hong Tsui, 2022. "Estimating the confidence intervals for DEA efficiency scores of Asia-Pacific airlines," Operational Research, Springer, vol. 22(4), pages 3411-3434, September.
    15. Emilie Caldeira & Alou Adessé Dama & Ali Compaoré & Mario Mansour & Grégoire Rota-Graziosi, 2020. "Tax effort in Sub-Saharan African countries : evidence from a new dataset," Working Papers hal-02543162, HAL.
    16. Janne Tukiainen & Sebastian Blesse & Albrecht Bohne & Leonardo M. Giuffrida & Jan Jäässkeläinen & Ari Luukinen & Antti Sieppi, 2021. "What Are the Priorities of Bureaucrats? Evidence from Conjoint Experiments with Procurement Officials," EconPol Working Paper 63, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    17. Sickles, Robin C. & Song, Wonho & Zelenyuk, Valentin, 2018. "Econometric Analysis of Productivity: Theory and Implementation in R," Working Papers 18-008, Rice University, Department of Economics.
    18. Seog-Chan Oh & Alfred J. Hildreth, 2014. "Estimating the Technical Improvement of Energy Efficiency in the Automotive Industry—Stochastic and Deterministic Frontier Benchmarking Approaches," Energies, MDPI, vol. 7(9), pages 1-27, September.
    19. Guillermo Jopen Sánchez, 2016. "Measuring Technical Efficiency in Primary Education: Evidences for Peruvian Case," Working Papers 77, Peruvian Economic Association.
    20. Silva, Thiago Christiano & Tabak, Benjamin Miranda & Cajueiro, Daniel Oliveira & Dias, Marina Villas Boas, 2017. "A comparison of DEA and SFA using micro- and macro-level perspectives: Efficiency of Chinese local banks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 216-223.

    More about this item

    Keywords

    OECD; tax burden; tax efficiency; Stochastic Frontier Analysis; Data Envelopment Analysis;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • H20 - Public Economics - - Taxation, Subsidies, and Revenue - - - General
    • H21 - Public Economics - - Taxation, Subsidies, and Revenue - - - Efficiency; Optimal Taxation
    • H30 - Public Economics - - Fiscal Policies and Behavior of Economic Agents - - - General

    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:ces:ceswps:_11333. 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: Klaus Wohlrabe (email available below). General contact details of provider: https://edirc.repec.org/data/cesifde.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.