IDEAS home Printed from https://ideas.repec.org/a/kap/ecopln/v55y2022i4d10.1007_s10644-022-09384-6.html
   My bibliography  Save this article

Assessing the effectiveness of tax administration in macroeconomic stability: evidence from 26 European Countries

Author

Listed:
  • Anastasiou Athanasios

    (University of Peloponnese)

  • Kalligosfyris Charalampos

    (University of Peloponnese)

  • Kalamara Eleni

    (University of Peloponnese)

Abstract

The purpose of this paper is the assessment and comparative analysis of the relative efficiency of the tax administrations of 26 European countries in 2017, regarding their contribution to macroeconomic stability, the attraction of foreign direct investment and the strengthening of GDP. In particular, by applying the CCR Data Environment Analysis output-oriented model, the measurement of the performance of the tax offices of the European countries under investigation, the assessment of the relative efficiency, the evaluation of results, the identification of fully efficient tax administrations and inefficient ones, in which a real improvement in their efficiency can be achieved, are attempted. Subsequently, for tax administrations that are considered inefficient, a set of possible ways to improve their operation is proposed, through specific changes (slacks) in the input and output levels, which can be implemented to make them more efficient. The results of the analysis also include useful information on the efficiency of tax services, which their administrations should use to change their operating conditions in order to improve their effectiveness. In addition, robustness checks led to useful conclusions about the quality of research results and the important role that specific inputs play in the relative efficiency of the tax administrations of European countries.

Suggested Citation

  • Anastasiou Athanasios & Kalligosfyris Charalampos & Kalamara Eleni, 2022. "Assessing the effectiveness of tax administration in macroeconomic stability: evidence from 26 European Countries," Economic Change and Restructuring, Springer, vol. 55(4), pages 2237-2261, November.
    • Handle: RePEc:kap:ecopln:v:55:y:2022:i:4:d:10.1007_s10644-022-09384-6
    DOI: 10.1007/s10644-022-09384-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10644-022-09384-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10644-022-09384-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. William W. Cooper & Lawrence M. Seiford & Joe Zhu (ed.), 2011. "Handbook on Data Envelopment Analysis," International Series in Operations Research and Management Science, Springer, number 978-1-4419-6151-8, July-Dece.
    2. Joel Slemrod, 1992. "Did the Tax Reform Act of 1986 Simplify Tax Matters?," Journal of Economic Perspectives, American Economic Association, vol. 6(1), pages 45-57, Winter.
    3. Fabian Barthel & Matthias Busse & Robert Osei, 2011. "The Characteristics and Determinants of FDI in Ghana," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 23(3), pages 389-408, July.
    4. James Alm & Denvil Duncan, 2014. "Estimating Tax Agency Efficiency," Public Budgeting & Finance, Wiley Blackwell, vol. 34(3), pages 92-110, September.
    5. Johnson, Andrew L. & Kuosmanen, Timo, 2012. "One-stage and two-stage DEA estimation of the effects of contextual variables," European Journal of Operational Research, Elsevier, vol. 220(2), pages 559-570.
    6. Cinzia Daraio & Léopold Simar, 2005. "Introducing Environmental Variables in Nonparametric Frontier Models: a Probabilistic Approach," Journal of Productivity Analysis, Springer, vol. 24(1), pages 93-121, September.
    7. Andrew Johnson & Timo Kuosmanen, 2011. "One-stage estimation of the effects of operational conditions and practices on productive performance: asymptotically normal and efficient, root-n consistent StoNEZD method," Journal of Productivity Analysis, Springer, vol. 36(2), pages 219-230, October.
    8. 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.
    9. Athina Zervoyianni & Athanasios Anastasiou, 2009. "Convergence of shocks and trade in the enlarged European Union," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 18(1), pages 79-114.
    10. Panagiotis Liargovas & Athanasios Anastasiou & Dimitrios Komninos & Zacharias Dermatis, 2019. "The Role Of Capital Controls In The Period Of The Economic Crisis: How Was The Greek Trading Culture Been Formed?," Noble International Journal of Economics and Financial Research, Noble Academic Publsiher, vol. 4(8), pages 76-82, August.
    11. Nguyen, Trang T.T. & Prior, Diego & Van Hemmen, Stefan, 2020. "Stochastic semi-nonparametric frontier approach for tax administration efficiency measure: Evidence from a cross-country study," Economic Analysis and Policy, Elsevier, vol. 66(C), pages 137-153.
    12. Anastasiou Athanasios & Kalamara Eleni & Kalligosfyris Charalampos, 2020. "Estimation of the size of tax evasion in Greece," Bulletin of Applied Economics, Risk Market Journals, vol. 7(2), pages 97-107.
    13. H. Sherman & Joe Zhu, 2006. "Benchmarking with quality-adjusted DEA (Q-DEA) to seek lower-cost high-quality service: Evidence from a U.S.bank application," Annals of Operations Research, Springer, vol. 145(1), pages 301-319, July.
    14. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2007. "Data Envelopment Analysis," Springer Books, Springer, edition 0, number 978-0-387-45283-8, April.
    15. William W. Cooper & Lawrence M. Seiford & Joe Zhu, 2011. "Data Envelopment Analysis: History, Models, and Interpretations," International Series in Operations Research & Management Science, in: William W. Cooper & Lawrence M. Seiford & Joe Zhu (ed.), Handbook on Data Envelopment Analysis, chapter 0, pages 1-39, Springer.
    16. Komninos Dimitrios & Dermatis Zacharias & Anastasiou Athanasios & Liargovas Panagiotis, 2020. "The multiplicity and the frequent changes of the tax legislation in the Greek Tax Administration," Technium Social Sciences Journal, Technium Science, vol. 13(1), pages 395-407, 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. Jaime Bonet-Morón & Jhorland Ayala-García, 2016. "La brecha fiscal territorial en Colombia," Documentos de trabajo sobre Economía Regional y Urbana 235, Banco de la Republica de Colombia.
    2. Nguyen, Trang T.T. & Prior, Diego & Van Hemmen, Stefan, 2020. "Stochastic semi-nonparametric frontier approach for tax administration efficiency measure: Evidence from a cross-country study," Economic Analysis and Policy, Elsevier, vol. 66(C), pages 137-153.
    3. Jaime Bonet‐Morón & Jhorland Ayala‐García, 2020. "The territorial fiscal gap in Colombia," Regional Science Policy & Practice, Wiley Blackwell, vol. 12(1), pages 7-24, February.
    4. Eskelinen, Juha & Kuosmanen, Timo, 2013. "Intertemporal efficiency analysis of sales teams of a bank: Stochastic semi-nonparametric approach," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 5163-5175.
    5. Matthias Klumpp & Dominic Loske, 2021. "Sustainability and Resilience Revisited: Impact of Information Technology Disruptions on Empirical Retail Logistics Efficiency," Sustainability, MDPI, vol. 13(10), pages 1-20, May.
    6. Duk Hee Lee & Il Won Seo & Ho Chull Choe & Hee Dae Kim, 2012. "Collaboration network patterns and research performance: the case of Korean public research institutions," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(3), pages 925-942, June.
    7. Samet Güner & Erman Coşkun, 2016. "Determining the best performing benchmarks for transit routes with a multi-objective model: the implementation and a critique of the two-model approach," Public Transport, Springer, vol. 8(2), pages 205-224, September.
    8. Gil, Guilherme Dôco Roberti & Costa, Marcelo Azevedo & Lopes, Ana Lúcia Miranda & Mayrink, Vinícius Diniz, 2017. "Spatial statistical methods applied to the 2015 Brazilian energy distribution benchmarking model: Accounting for unobserved determinants of inefficiencies," Energy Economics, Elsevier, vol. 64(C), pages 373-383.
    9. Feng Li & Qingyuan Zhu & Liang Liang, 2019. "A new data envelopment analysis based approach for fixed cost allocation," Annals of Operations Research, Springer, vol. 274(1), pages 347-372, March.
    10. Dyckhoff, Harald & Souren, Rainer, 2022. "Integrating multiple criteria decision analysis and production theory for performance evaluation: Framework and review," European Journal of Operational Research, Elsevier, vol. 297(3), pages 795-816.
    11. Fazlollahi, Ariyan & Franke, Ulrik, 2018. "Measuring the impact of enterprise integration on firm performance using data envelopment analysis," International Journal of Production Economics, Elsevier, vol. 200(C), pages 119-129.
    12. Valentin Zelenyuk, 2019. "Data Envelopment Analysis and Business Analytics: The Big Data Challenges and Some Solutions," CEPA Working Papers Series WP072019, School of Economics, University of Queensland, Australia.
    13. José Manuel Cordero & Carlos Díaz Caro & Francisco Pedraja Chaparro & Cristina Polo Fernández, 2020. "Tributos cedidos y eficiencia en la gestión tributaria de las Comunidades Autónomas," Hacienda Pública Española / Review of Public Economics, IEF, vol. 232(1), pages 75-112, March.
    14. Huguenin, Jean-Marc, 2015. "Adjusting for the environment in DEA: A comparison of alternative models based on empirical data," Socio-Economic Planning Sciences, Elsevier, vol. 52(C), pages 41-54.
    15. Mª Isabel Ortega-Díaz & Ricardo Ocaña-Riola & Carmen Pérez-Romero & José Jesús Martín-Martín, 2020. "Multilevel Analysis of the Relationship between Ownership Structure and Technical Efficiency Frontier in the Spanish National Health System Hospitals," IJERPH, MDPI, vol. 17(16), pages 1-19, August.
    16. Topcu, Taylan G. & Triantis, Konstantinos & Roets, Bart, 2019. "Estimation of the workload boundary in socio-technical infrastructure management systems: The case of Belgian railroads," European Journal of Operational Research, Elsevier, vol. 278(1), pages 314-329.
    17. Chih-Cheng Chen, 2015. "Assessing the Activeness of Online Economic Activity of Taiwan’s Internet Users: An Application of the Super-Efficiency Data Envelopment Analysis Model," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 122(2), pages 433-451, June.
    18. Pejman Peykani & Jafar Gheidar-Kheljani & Reza Farzipoor Saen & Emran Mohammadi, 2022. "Generalized robust window data envelopment analysis approach for dynamic performance measurement under uncertain panel data," Operational Research, Springer, vol. 22(5), pages 5529-5567, November.
    19. Martínez, Yolanda Ubago & Arzoz, Pedro Pascual & Arregui, Idoia Zabaleta, 2022. "Tax collection efficiency in OECD countries improves via decentralization, simplification, digitalization and education," Journal of Policy Modeling, Elsevier, vol. 44(2), pages 298-318.
    20. José Manuel Cordero & Cristina Polo & Daniel Santín & Gabriela Sicilia, 2016. "Monte-Carlo Comparison of Conditional Nonparametric Methods and Traditional Approaches to Include Exogenous Variables," Pacific Economic Review, Wiley Blackwell, vol. 21(4), pages 483-497, October.

    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:kap:ecopln:v:55:y:2022:i:4:d:10.1007_s10644-022-09384-6. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.