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doi: 10.3934/jimo.2020083

Application of survival theory in taxation

Badam Ulemj 1, , Enkhbat Rentsen 2,, and  Batchimeg Tsendpurev 1,

1. 

Ulaanbaatar State University, Ulaanbaatar, Mongolia
2. 

National University of Mongolia, Ulaanbaatar, Mongolia

* Corresponding author: Enkhbat Rentsen

Received  September 2019 Revised  January 2020 Published  April 2020

Fund Project: The second author is supported by NUM grant P2019-3751

The paper deals with the application of the survival theory in economic systems. Theory and methodology of survival is used to evaluate fiscal policy. The survival of the system reduces to a problem of maximizing a radius of a cube inscribed into a polyhedral set so-called the target-oriented purpose [1-5]. We show that the survival theory can be applied to the government fiscal policy optimizing a taxation system. Numerical simulations were conducted using Mongolian statistical data for 2015.

Keywords: Survival theory, taxation, linear programming, optimization.
Mathematics Subject Classification: Primary: 90C05, 90C25; Secondary: 90C99.
Citation: Badam Ulemj, Enkhbat Rentsen, Batchimeg Tsendpurev. Application of survival theory in taxation. Journal of Industrial & Management Optimization, doi: 10.3934/jimo.2020083
References:
[1]

L. T. Aščepkov, On the construction of the maximum cube inscribed in a given domain, Zh. Vychisl. Mat. i Mat. Fiz., 20 (1980), 510-513.   Google Scholar

[2]

L. T. Aščepkov and U. Badam, Models and methods of survival theory for controlled system, Vladivostok DalNauka, (2006). Google Scholar

[3]

U. Badam, A simple model of improving survival in economical systems, in Optimization and Optimal Control, Ser. Comput. Oper. Res., 1, World Sci. Publ., River Edge, NJ, 2003,287–295.  Google Scholar

[4]

U. Badam, Necessary optimality conditions in survival problems, Izv. Vyssh. Uchebn. Zaved. Mat., 2002 (2002), 18-22.   Google Scholar

[5]

U. Badam, Models and problems of survival theory for linear discrete system, Intellect Control, (2002), 35–50. Google Scholar

[6]

R. Enkhbat, Global optimization approach to Malfatti's problem, J. Global Optim., 65 (2016), 33-39.  doi: 10.1007/s10898-015-0372-6.  Google Scholar

[7]

R. Enkhbat, M. V. Barkova and A. S. Strekalovsky, Solving Malfatti's high dimensional problem by global optimization, Numer. Algebra Control Optim., 6 (2016), 153-160.  doi: 10.3934/naco.2016005.  Google Scholar

[8] L. Ljungvist and T. J. Sargent, Recursive Macroeconomic Theory, The MIT Press, 2000.   Google Scholar
[9]

C. Malfatti, Memoria Sopra una Problema Stereotomico, Memoria di Matematica e di Fisica della Societa italiana della Scienze, 10 (1803), 235-244.   Google Scholar

show all references

References:
[1]

L. T. Aščepkov, On the construction of the maximum cube inscribed in a given domain, Zh. Vychisl. Mat. i Mat. Fiz., 20 (1980), 510-513.   Google Scholar

[2]

L. T. Aščepkov and U. Badam, Models and methods of survival theory for controlled system, Vladivostok DalNauka, (2006). Google Scholar

[3]

U. Badam, A simple model of improving survival in economical systems, in Optimization and Optimal Control, Ser. Comput. Oper. Res., 1, World Sci. Publ., River Edge, NJ, 2003,287–295.  Google Scholar

[4]

U. Badam, Necessary optimality conditions in survival problems, Izv. Vyssh. Uchebn. Zaved. Mat., 2002 (2002), 18-22.   Google Scholar

[5]

U. Badam, Models and problems of survival theory for linear discrete system, Intellect Control, (2002), 35–50. Google Scholar

[6]

R. Enkhbat, Global optimization approach to Malfatti's problem, J. Global Optim., 65 (2016), 33-39.  doi: 10.1007/s10898-015-0372-6.  Google Scholar

[7]

R. Enkhbat, M. V. Barkova and A. S. Strekalovsky, Solving Malfatti's high dimensional problem by global optimization, Numer. Algebra Control Optim., 6 (2016), 153-160.  doi: 10.3934/naco.2016005.  Google Scholar

[8] L. Ljungvist and T. J. Sargent, Recursive Macroeconomic Theory, The MIT Press, 2000.   Google Scholar
[9]

C. Malfatti, Memoria Sopra una Problema Stereotomico, Memoria di Matematica e di Fisica della Societa italiana della Scienze, 10 (1803), 235-244.   Google Scholar

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