IDEAS home Printed from https://ideas.repec.org/a/bas/econst/y2019i5p103-119.html
   My bibliography  Save this article

The Approach to Tax Debtors Segmentation

Author

Listed:
  • Olena Tymchenko
  • Yuliia Sybirianska
  • Alla Abramova

Abstract

A segmentation-based tax debt management is the most perspective way to improve tax collection. Despite the innovations in the tax debtor segmentation the amount of the tax debt in most countries continues to be grown. Especially the share of an “old” debt remains high. It actualizes the further search of the alternative ways to tax debtor segmentation. The authors suggest to segment tax debtors on the debt nonpayment risk estimation. They form the segments that mean the risk category. Each segment consists of the sub-segments divided according to the criteria of the tax debt amount and age. Using the method of risk integrate estimation the authors determine the marginal indicators according to which the tax debtors should be distributed under the sub-segments. The indicators chosen for risk estimation mirror the propensity to pay and capacity to pay. The authors suggest the strategies of tax debt management for each sub-segment of the tax debtors. They reflect such way of interrelations between the fiscal authorities and tax debtors, in which the tax debtors have the opportunity to pay independently without enforcement, and each subsequent stronger impact on the debtor depends on its reaction to the previous intervention. The debtor moves to the next category of risk, if within a certain time he did not respond to a softer strategy. The main goal of such approach is to provide the tax debt repayment on the early stages of its emergence and prevent it from aging.

Suggested Citation

  • Olena Tymchenko & Yuliia Sybirianska & Alla Abramova, 2019. "The Approach to Tax Debtors Segmentation," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 5, pages 103-119.
  • Handle: RePEc:bas:econst:y:2019:i:5:p:103-119
    as

    Download full text from publisher

    File URL: https://www.ceeol.com/search/article-detail?id=813584
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kirchler, Erich & Maciejovsky, Boris & Schneider, Friedrich, 2003. "Everyday representations of tax avoidance, tax evasion, and tax flight: Do legal differences matter?," Journal of Economic Psychology, Elsevier, vol. 24(4), pages 535-553, August.
    2. Keith Walsh, 2012. "Understanding Taxpayer Behaviour – New Opportunities for Tax Administration," The Economic and Social Review, Economic and Social Studies, vol. 43(3), pages 451-475.
    3. Barrie Russell, 2010. "Revenue Administration; Developing a Taxpayer Compliance Program," IMF Technical Notes and Manuals 10/17, International Monetary Fund.
    4. Erzo F. P. Luttmer & Monica Singhal, 2014. "Tax Morale," Journal of Economic Perspectives, American Economic Association, vol. 28(4), pages 149-168, Fall.
    5. Barrie Russell, 2010. "Revenue Administration: Developing a Taxpayer Compliance Program," IMF Technical Notes and Manuals 2010/017, International Monetary Fund.
    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. Luis-Felipe Zanna & Olivier Basdevant & Ms. Susan S. Yang & Ms. Genevieve Verdier & Mr. Joannes Mongardini & Borislava Mircheva & Dalmacio Benicio, 2011. "The Design of Fiscal Adjustment Strategies in Botswana, Lesotho, Namibia, and Swaziland," IMF Working Papers 2011/266, International Monetary Fund.
    2. Cyan, Musharraf R. & Koumpias, Antonios M. & Martinez-Vazquez, Jorge, 2017. "The effects of mass media campaigns on individual attitudes towards tax compliance; quasi-experimental evidence from survey data in Pakistan," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 70(C), pages 10-22.
    3. Emmanuelle Deglaire & Peter Daly & Fabrice Lec, 2021. "Exposure to tax dilemmas deteriorate individuals' self-declared tax morale," Economics of Governance, Springer, vol. 22(4), pages 363-397, December.
    4. Nivakan Sritharan & Sahari Salawati, 2019. "Examining the Moderating Effect of Tax Knowledge on the Relationship between Individual Factors and Income Tax Compliance Behaviour in Malaysia," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 9(3), pages 160-172, July.
    5. Mr. Bernardin Akitoby & Ms. Anja Baum & Clay Hackney & Olamide Harrison & Keyra Primus & Ms. Veronique Salins, 2018. "Tax Revenue Mobilization Episodes in Emerging Markets and Low-Income Countries: Lessons from a New Dataset," IMF Working Papers 2018/234, International Monetary Fund.
    6. European Commission, 2012. "Tax reforms in EU Member States - Tax policy challenges for economic growth and fiscal sustainability – 2012 Report," Taxation Papers 34, Directorate General Taxation and Customs Union, European Commission.
    7. Elsia GJIKA, 2020. "Needs For Tax Staff Qualifications And The Benefits Of This Process," Management Strategies Journal, Constantin Brancoveanu University, vol. 48(2), pages 22-31.
    8. Koumpias, Antonios M. & Martinez-Vazquez, Jorge, 2019. "The impact of media campaigns on tax filing: quasi-experimental evidence from Pakistan," Journal of Asian Economics, Elsevier, vol. 63(C), pages 33-43.
    9. Agumas Alamirew Mebratu, 2024. "Theoretical foundations of voluntary tax compliance: evidence from a developing country," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-8, December.
    10. Alvaro Forteza & Cecilia Noboa, 2019. "Perceptions of institutional quality and justification of tax evasion," Constitutional Political Economy, Springer, vol. 30(4), pages 367-382, December.
    11. Diagne, Youssoupha Sakrya & Ba, Arona, 2019. "How much more can the tax administration collect? Measuring tax potential for Senegal," MPRA Paper 114168, University Library of Munich, Germany.
    12. Engel, Christoph & Mittone, Luigi & Morreale, Azzurra, 2020. "Tax morale and fairness in conflict an experiment," Journal of Economic Psychology, Elsevier, vol. 81(C).
    13. Combey, Adama, 2020. "Evaluation De L’Ecart De Tva Au Togo [Evaluation Of The Vat Gap In Togo]," MPRA Paper 101478, University Library of Munich, Germany.
    14. Annette Alstadsæter & Wojciech Kopczuk & Kjetil Telle, 2019. "Social networks and tax avoidance: evidence from a well-defined Norwegian tax shelter," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 26(6), pages 1291-1328, December.
    15. Philipp Doerrenberg & Jan Schmitz, 2017. "Tax compliance and information provision. A field experiment with small firms," Journal of Behavioral Economics for Policy, Society for the Advancement of Behavioral Economics (SABE), vol. 1(1), pages 47-54, February.
    16. Garcia, Filomena & Opromolla, Luca David & Vezzulli, Andrea & Marques, Rafael, 2020. "The effects of official and unofficial information on tax compliance," Journal of Economic Psychology, Elsevier, vol. 78(C).
    17. Pierce O’Reilly, 2018. "Tax policies for inclusive growth in a changing world," OECD Taxation Working Papers 40, OECD Publishing.
    18. Arun Advani, 2022. "Who does and doesn't pay taxes?," Fiscal Studies, John Wiley & Sons, vol. 43(1), pages 5-22, March.
    19. Castro, Lucio & Scartascini, Carlos, 2015. "Tax compliance and enforcement in the pampas evidence from a field experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 116(C), pages 65-82.
    20. Timothy Besley & Anders Jensen & Torsten Persson, 2023. "Norms, Enforcement, and Tax Evasion," The Review of Economics and Statistics, MIT Press, vol. 105(4), pages 998-1007, July.

    More about this item

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G41 - Financial Economics - - Behavioral Finance - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making in Financial Markets
    • H26 - Public Economics - - Taxation, Subsidies, and Revenue - - - Tax Evasion and Avoidance

    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:bas:econst:y:2019:i:5:p:103-119. 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: Diana Dimitrova (email available below). General contact details of provider: https://edirc.repec.org/data/ikbasbg.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.