Tax Factors of Sustainable Development: System Dynamics Approach towards Tax Evasion Analyses

Journal title RIVISTA DI STUDI SULLA SOSTENIBILITA'
Author/s Tamara Merkulova, Tatyana Bitkova, Kateryna Kononova
Publishing Year 2016 Issue 2016/1 Language English
Pages 13 P. 35-47 File size 240 KB
DOI 10.3280/RISS2016-001005
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Taxation is one of the most important institutes, influencing human behaviour, and an essential factor of wellbeing and of sustainable development. The paper is devoted to the analyses of tax evasion, which reduces tax revenues and cuts financial resources for sustainable development projects. When comparing different types of tax behaviour we consider economic factors of choice as well as institutional restrictions and psychological features of economic agents, who make decisions about tax evasion. Using an original system dynamics model we analyse comparative effectiveness of the types of tax behaviour, dependant on different instruments of tax policy, and the possible situations of conflict of interests of the state and a taxpayer.

Keywords: Sustainable development, tax revenues, tax evasion, opportunistic behaviour, system dynamics model, simulation.

  1. Arnstein S.R. (1969). A ladder of citizen participation. Journal of the American.
  2. Allingham M., Sandmo O. (1972). Income Tax Evasion: A Theoretical Analysis. Journal of Public Economics, 1: 323-338.
  3. Andreoni J., Erard B., Feinstein J. (1998). Tax Compliance. Journal of Economic Literature, 36 (2): 818-860.
  4. Becker G. (1968). Crime and Punishment: An Economic Approach. Journal of Political Economy, 76 (2): 169-217.
  5. Buchanan J.M. (1967). Public Finance in Democratic Process: Fiscal Institutions and Individual Choice. Retrieved from: http://files.libertyfund.org/files/1073/ 0102.04_LFeBk.pdf.
  6. Cai J. (2005). Hopf bifurcation in the IS-LM business cycle model with time delay. Retrieved from: http://ejde.math.txstate.edu/Volumes/ 2005/15/cai.pdf.
  7. Chander P., Wilde L. (1992). Corruption in Tax Administration. Journal of Political Economy, 49: 333-349.
  8. Chander P., Wilde L. (1998). A General Characterization of Optimal Income Tax Enforcement. Review of Economic Studies, 65: 165-189.
  9. De Cesare L., Sportelli M. (2005). A Dynamic IS-LM model with delayed taxation revenues. Chaos, Solutions and Fractals, 25: 233-244.
  10. Frey B.S., Torgler B. (2007). Tax morale and conditional cooperation. Journal of Comparative Economics, 35: 136-159.
  11. Gachter S., Herrmann B. (2008). Reciprocity, Culture and Human Cooperation: Previous Insights and New Cross-Cultural Experiment. Philos Trans R Soc Lond B Biol Sci, 364 (1518): 791-806.
  12. Gali J. (1992). How well does the IS-LM Model fit postwar U.S. Data? Retrieved from: http://crei.cat/people/gali/jgqje92.pdf.
  13. Gallati J., Wiesmann U. (2011). System Dynamics in Transdisciplinary Research for Sustainable Development. Retrieved from: http://www.ub.unibas.ch/digi/ a125/sachdok/2013/BAU_1_6165650.pdf.
  14. Hicks J.R. (1937). Mr. Keynes and the Classics: A Suggested Interpretation. Retrieved from: http://www.jstor.org/stable/1907242.
  15. Hindriks J., Keen M., Muthoo A. (1999). Corruption, Extortion and Evasion. Journal of Public Economic, 74: 395-430.
  16. Hjorth P., Bagheri A. (2006). Navigating towards sustainable development: A system dynamics approach. Futures, 38 (1): 74-92.
  17. Laffer A. (2004). The Laffer Curve: Past, Present, and Future. Retrieved from: http://www.heritage.org/research/reports/2004/06/the-laffer-curve-past-present-and-future.
  18. Liao X., Li C., Zhou S. (2005). Hopf bifurcation and chaos in macroeconomic models with policy lag. Retrieved from: http://arxiv.org/pdf/math/0511322.pdf.
  19. Neamtu M., Opris D., Chilarescu C. (2005). Hopf bifurcation in a dynamic IS-LM model with time delay. Retrieved from: http://mpra.ub.uni-muenchen.de/13270/.
  20. North D.C. (1991). Institutions. The journal of economic perspectives, 5, 1: 97-112.
  21. Smith G. (1980). A dynamic IS-LM simulation model. Applied Economics, 12: 313-327.
  22. Torgler B. (2002). Speaking to theorists and searching for facts: Tax morale and tax compliance in experiments. Journal of Economic Surveys, 16: 657-684.
  23. Vensim PLE software environment. Retrieved from: http://www.vensim.com.
  24. Zhou L., Li Y. (2008). A Generalized Dynamic IS-LM Model with Delayed Time in Investment Process. Applied Mathematics and Computation, 196 (2): 774-781.

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Tamara Merkulova, Tatyana Bitkova, Kateryna Kononova, Tax Factors of Sustainable Development: System Dynamics Approach towards Tax Evasion Analyses in "RIVISTA DI STUDI SULLA SOSTENIBILITA'" 1/2016, pp 35-47, DOI: 10.3280/RISS2016-001005