Preview

Proceedings of the Voronezh State University of Engineering Technologies

Advanced search

Dynamic development model using a temporary consumer scale

https://doi.org/10.20914/2310-1202-2020-2-285-294

Abstract

The paper presents studies of linear models of economic dynamics of the Neumann-Gale type, taking into account their possible stationarity, presents an analysis of existing classification approaches to the concept of optimality, presents their advantages and comparative characteristics, it is noted that the first type model - open - connects the concept of optimality with discounted maximization total utility. The first considers a closed system, the technological description of which includes the reproduction of all the resources necessary for development, including labor. Such a system has no external goals; its natural end in itself is development at the maximum pace. This is the most abstract and idealized scheme, but on the other hand it was it that made it possible to develop such fundamental concepts as equilibrium, a ray of (Neumann) balanced growth. Later, the apparatus of the closed model was replenished with the concepts of “direct and inverse Bellman operators”, “effective functional” (“potential”) of the model, etc. The second approach involves explicit accounting for consumption. Here the description becomes open, consumption is derived from the "technology" and described using the utility function. A new approach to the concept of “optimal development strategy” is proposed, a detailed analysis of the corresponding model is given. The article consists of three sections. 1 - staging part; 2 - analysis of the model with illustrative examples; 3 - conjugate (dual) model. The last section contains the main result on the connection of the optimal trajectories of the direct and dual problems. The paper provides an overview of literary sources in the subject area, as well as an economic interpretation of the results.

About the Authors

M. L. Lapshina
Voronezh State Forestry University named after G.F. Morozova
Russian Federation
Dr. Sci. (Engin.), professor, automation of production processes department, st. Timiryazev, 8, Voronezh, 394087, Russia


O. O. Lukina
Voronezh State University of Engineering Technologies
Cand. Sci. (Econ.), associate professor, theory of economics and accounting policy department, Revolution Avenue, 19, Voronezh, 394036, Russia


D. D. Lapshin
GUMRF named after Admiral S.O. Makarova
Cand. Sci. (Engin.), associate professor, mathematics, information systems and technologies department, Leninsky Prospect, 174L, Voronezh, 394033, Russia


S. V. Budkova
GUMRF named after Admiral S.O. Makarova
Cand. Sci. (Econ.), associate professor, economics and management department, Leninsky Prospect, 174L, Voronezh, 394033, Russia


References

1. Minenko S.N., Kazakov O.L., Smirnov G.B. Economic and mathematical modeling. Moscow, MGIU, 2016. 136 p. (in Russian).

2. Svetunkov S.G., Svetunkov I.S. Production functions of complex variables: Economic and mathematical modeling of production dynamics. Moscow, Lenand, 2019. 170 p. (in Russian).

3. Strongin R. G. Research operations. Models of economic behavior. M.oscow, Internet University of Information Technology, Binom. Knowledge Laboratory, 2016. 208 p. (in Russian).

4. Tokarev VV Models and solutions. Operational research for economists, political scientists and managers. Moscow, FIZMATLIT, 2018 .408 p. (in Russian).

5. Redkin G.M. Unsteady anisotropic mathematical modeling of heterogeneities of mineral raw materials systems. Moscow, Publishing house of the Association of construction universities, 2017. 500 p. (in Russian).

6. Lapshina M.L., Lapshin D.D., Knyazev A.V., Pisareva S.V. Modeling the situation of non-payments on the basis of differential calculus in the system of enterprise integration. MOIT. 2019. vol. 7. no. 3. (in Russian).

7. Lukina O.O. An integrated approach to the development of innovative activities, taking into account the synergistic effect. Proceedings of VSUET. 2018. no. 3. pp. 423-428. (in Russian).

8. Ivanov S.A. Modeling of communication processes in the scientific community. Stable statistical distributions in communication systems. Moscow, Librocom, 2016. 120 p. (in Russian).

9. Dubina I.N. Fundamentals of the theory of economic games. Moscow, Ogni, 2015. 304 p. (in Russian).

10. Brodetsky G.L., Gusev D.A. Economic and mathematical methods and models in logistics. Optimization Procedures. Moscow, Academia, 2017. 288 p. (in Russian).

11. Yudovich V. I. Mathematical models of natural sciences. Moscow, Lan', 2015. 336 p. (in Russian).

12. Prebisch R. Towards a dynamic development policy for Latin America. ECLAC Thinking, Selected Texts (1948-1998). Santiago: ECLAC, 2016. pp. 255-275.

13. Dagger T.S., Sweeney J.C., Johnson L.W. A hierarchical model of health service quality: scale development and investigation of an integrated model. Journal of service research. 2007. vol. 10. no. 2. pp. 123-142.

14. Petrick J. F. Development of a multi-dimensional scale for measuring the perceived value of a service. Journal of leisure research. 2002. vol. 34. no. 2. pp. 119-134.

15. Schweizer M., Kotouc A.J., Wagner T. Scale development for consumer confusion. Advances in consumer Research. 2006. vol. 33. no. 1. pp. 184-190.

16. Forsythe S. et al. Development of a scale to measure the perceived benefits and risks of online shopping. Journal of interactive marketing. 2006. vol. 20. no. 2. pp. 55-75.


Review

For citations:


Lapshina M.L., Lukina O.O., Lapshin D.D., Budkova S.V. Dynamic development model using a temporary consumer scale. Proceedings of the Voronezh State University of Engineering Technologies. 2020;82(2):285-294. (In Russ.) https://doi.org/10.20914/2310-1202-2020-2-285-294

Views: 440


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2226-910X (Print)
ISSN 2310-1202 (Online)