Top.Mail.Ru
Preview

Vestnik Universiteta

Advanced search

Methodology for identifying the socio-economic genome on the commodity market for sugar production

https://doi.org/10.26425/1816-4277-2021-6-82-95

Abstract

Sets of high probability cycles are determined, and also a common cyclic genome for the sugar industry is identified, which together affect the indicators of sugar, sugar beet, and sugarcane production. The regularities of the cyclical dynamics of large regional structures in the sugar industry are studied. For the first time in practice, the method of detecting the cyclic genome has been implemented not only by spectral analysis, but also by forward analysis (periodograms are built based on forward analysis). It is practically confirmed that the forward analysis when constructing periodograms shows results significantly better in than the classical spectral analysis. New patterns in the displacement (mutation) of the cyclic genome of the world sugar production are revealed. Sociogenetic patterns (cycles of different nature) are determined, for example, the cycle of a group of developed countries was 8.23 years, the cycle of developing countries – 8.39, the cycle of “Third world” countries – 7.6. A cyclical drift in world sugar production is revealed: after the end of World War II it shifted from the usual 9.49 years for the XIX century – the middle of the XX century to the current value of 7.12 years.

About the Author

D. Yu. Zhmurko
Krasnodar University of the Ministry of Internal Affairs of the Russian Federation; Kuban State Agrarian University named after I.T. Trubilin
Russian Federation

Daniil Yu. Zhmurko, Cand. Sci. (Econ.), doctoral

Krasnodar 



References

1. Bestuzhev-Lada I. V. Ahead of the XXI century: prospects, forecasts, futurologists. An anthology of modern classical prognostics. 1952–1999, Editor and author-compiler I. V. Bestuzhev-Lada, Moscow, Academia, 2000, 328 p.

2. Vladimirova L. P. Forecasting and planning in market conditions, Moscow, Dashkov i K, 2004, 264 p.

3. Dovgan’ E.F., Mokoseeva M.A. Legal problems of the functioning of the Eurasian Economic Union, Vestnik of the Mari State University. Chapter “History. Law”, 2018, vol. 4, no. 4, pp. 71–79. (In Russian).

4. Zhmurko D. Yu. Analysis of hierarchical structural shifts as a tool to identify changing trends in the sugar subcomplex of agrarian and industrial complex, Scientific Journal of Kuban State Agrarian University, 2016, no. 8 (122), pp. 567–595. (In Russian).

5. Kondrat’ev N. D. The main problems of economic statics and dynamics: A preliminary sketch, Moscow, Nauka, 1991, 567 p. (In Russian).

6. Martishin E. M. Genetic mechanisms of economic evolution: Dissertation of Doctor of Economic Sciences: 08.00.01, Rostovon-Don, Southern Federal University, 2016, 433 p.

7. Subetto A. I. Systemogenetics and cycle theory, Part 1, Moscow, The International N. D. Kondratieff Foundation , Research Center for Problems of Quality of Training of Specialists, 1992, 248 p. (In Russian).

8. Subetto A. I. Systemogenetics and cycle theory, Part 2, Moscow, The International N. D. Kondratieff Foundation, Research Center for Problems of Quality of Training of Specialists, 1992, 260 p. (In Russian).

9. Shapovalova I. S. Sociogenetic modeling of organizational culture, Dissertation of Doctor of Social Sciences: 22.00.08, Belgorod, Belgorod State University, 2010, 500 p. (In Russian).

10. Yakovets Yu. V. Sociogenetics: the formation of an integrated branch of knowledge, Social Sciences and Contemporary World, 1993, no. 4, pp. 82–88. (In Russian).

11. Institute of Agricultural Market Conjuncture. Available at: www.ikar.ru (accessed 22.03.2021).

12. Food and Agriculture Organization of the United Nations. Available at:http://www.fao.org/faostat/ru/ (accessed 22.03.2021). Tarasov S. Cyclic genome (CG). Available at: https://timing-solution.livejournal.com/35862.html (accessed 22.03.2021).

13. Tarasov S. Cyclic genome (CG). Available at: https://timing-solution.livejournal.com/35862.html (accessed 22.03.2021).

14. Tarasov S. Cyclic genome (CG). Available at: https://timing-solution.livejournal.com/?skip=48 (accessed 22.03.2021).

15. Federal State Statistics Service. Available at: https://rosstat.gov.ru/ (accessed 22.03.2021).

16. Stooq. Available at: https://stooq.com/ (accessed 22.03.2021).

17. ISCO-I Sugar monitoring. Available at: http://www.isco-i.ru/ (accessed 22.03.2021).

18. Quandl. Available at: https://www.quandl.com/ (accessed 22.03.2021).


Review

For citations:


Zhmurko D.Yu. Methodology for identifying the socio-economic genome on the commodity market for sugar production. Vestnik Universiteta. 2021;(6):82-95. (In Russ.) https://doi.org/10.26425/1816-4277-2021-6-82-95

Views: 352


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


ISSN 1816-4277 (Print)
ISSN 2686-8415 (Online)