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Fuzzy Regulation Model of the Interaction Between the State and Economic Subject Within the Shadow Economy and Tax Field

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1306))

Abstract

In this article, economic system is reviewed as an active system; and evaluation and reduction of the process emergence rate of shadow economy via optimization methods is being analyzed within economic relations between the state as a tax authority and economic subject as a taxpayer. Profitability of economic activity as a main influencing factor, expenses for staying in the shadow, contribution of tax and revenue for general utility are evaluated through fuzzy approach. Selecting profitability as a main factor is related with the process of not declaring the real level of profitability to tax authority by economic subject.

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References

  1. Schneider, F., Buehn, A.: Estimating the Size of the Shadow Economy: Methods, Problems and Open Questions, Discussion Paper No. 9820 (2016). ftp.iza.org/dp9820.pdf

  2. Zadeh, L.: Fuzzy sets. Inform. Control 8, 338–353 (1965). https://www-liphy.ujfgrenoble.fr/pagesperso/bahram/biblio/Zadeh_FuzzySetTheory_1965.pdf

  3. Schneider, F.: Estimating the size of the danish shadow economy using the currency demand approach: an attempt. Scand. J. Econ. 88(4), 643 (1986). https://doi.org/10.2307/3440435

  4. Torgler, B., Schneider, F., Schaltegger, C.A.: Local autonomy, tax morale, and the shadow economy. Publ. Choice 144, 293–321 (2010). https://doi.org/10.1007/s11127-009-9520-1

    Article  Google Scholar 

  5. Buehn, A., Schneider, F.: Corruption and the Shadow Economy: A Structural Equation Model Approach. IZA Discussion Paper No. 4182. https://ssrn.com/abstract=1409286

  6. Lackó, M.: The hidden economies of visegrad countries in international comparison: a household electricity approach. In: Halpern, L., Wyplosz, Ch. (eds.) Towards a Market Economy, Hungary. Cambridge University Press, Cambridge (Mass.) (1998)

    Google Scholar 

  7. Aigner, D.J., Schneider, F., Ghosh, D.: Me and my shadow: estimating the size of the U.S. hidden economy from time series data. Dyn. Econ. Model. 297–334 (1998). https://doi.org/10.1017/cbo9780511664342.015

  8. Medina, L., Schneider, F.: Shadow Economies Around the World: What Did We Learn Over the Last 20 Years? IMF Working Paper (2018). ISBN/ISSN: 9781484338636/1018-5941

    Google Scholar 

  9. Musayev, A.F., Madatova, S.G., Rustamov, S.S.: Evaluation of the impact of the tax legislation reforms on the tax potential by fuzzy inference method. In: 12th International Conference on Applied Fuzzy System Soft Computing (2016). Procedia Comput. Sci., 102, 507-514. https://doi.org/10.1016/j.procs.2016.09.435

  10. Musayev, A., Madatova, S., Rustamov, S.: Mamdani-type fuzzy inference system for evaluation of tax potential. In: Zadeh, L.A., Yager, R.R., Shahbazova, S.N., Reformat, M.Z., Kreinovich, V. (eds.) Recent Developments and the New Direction in Soft-Computing Foundations and Applications. SFSC, vol. 361, pp. 511–523. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-75408-6_39

    Chapter  Google Scholar 

  11. Rustamov, S., Musayev, A., Madatova, S.: Evaluation of the impact of state’s administrative efforts on tax potential using sugeno-type fuzzy inference method. In: Aliev, R.A., Kacprzyk, J., Pedrycz, W., Jamshidi, M., Sadikoglu, F.M. (eds.) ICAFS 2018. AISC, vol. 896, pp. 352–360. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-04164-9_47

    Chapter  Google Scholar 

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Correspondence to Akif F. Musayev .

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Musayev, A.F., Kazimov, M.S., Rustamov, S.S., Aliyev, N.K., Madatova, S.G. (2021). Fuzzy Regulation Model of the Interaction Between the State and Economic Subject Within the Shadow Economy and Tax Field. In: Aliev, R.A., Kacprzyk, J., Pedrycz, W., Jamshidi, M., Babanli, M., Sadikoglu, F.M. (eds) 14th International Conference on Theory and Application of Fuzzy Systems and Soft Computing – ICAFS-2020 . ICAFS 2020. Advances in Intelligent Systems and Computing, vol 1306. Springer, Cham. https://doi.org/10.1007/978-3-030-64058-3_27

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