Methodology for identifying the socio-economic genome on the commodity market for sugar production
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...
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Publishing House of the State University of Management
2021-08-01
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| Series: | Вестник университета |
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| Online Access: | https://vestnik.guu.ru/jour/article/view/2925 |
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| author | D. Yu. Zhmurko |
| author_facet | D. Yu. Zhmurko |
| author_sort | D. Yu. Zhmurko |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-9d3ef4717d7f475f88b1d7f021cf420b |
| institution | Kabale University |
| issn | 1816-4277 2686-8415 |
| language | English |
| publishDate | 2021-08-01 |
| publisher | Publishing House of the State University of Management |
| record_format | Article |
| series | Вестник университета |
| spelling | doaj-art-9d3ef4717d7f475f88b1d7f021cf420b2025-02-04T08:28:08ZengPublishing House of the State University of ManagementВестник университета1816-42772686-84152021-08-0106829510.26425/1816-4277-2021-6-82-952074Methodology for identifying the socio-economic genome on the commodity market for sugar productionD. Yu. Zhmurko0Krasnodar University of the Ministry of Internal Affairs of the Russian Federation; Kuban State Agrarian University named after I.T. TrubilinSets 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.https://vestnik.guu.ru/jour/article/view/2925socio-economic geneticscyclic genomehigh probability cyclesspectral transformationforward analysisperiodogramscyclo-cluster |
| spellingShingle | D. Yu. Zhmurko Methodology for identifying the socio-economic genome on the commodity market for sugar production Вестник университета socio-economic genetics cyclic genome high probability cycles spectral transformation forward analysis periodograms cyclo-cluster |
| title | Methodology for identifying the socio-economic genome on the commodity market for sugar production |
| title_full | Methodology for identifying the socio-economic genome on the commodity market for sugar production |
| title_fullStr | Methodology for identifying the socio-economic genome on the commodity market for sugar production |
| title_full_unstemmed | Methodology for identifying the socio-economic genome on the commodity market for sugar production |
| title_short | Methodology for identifying the socio-economic genome on the commodity market for sugar production |
| title_sort | methodology for identifying the socio economic genome on the commodity market for sugar production |
| topic | socio-economic genetics cyclic genome high probability cycles spectral transformation forward analysis periodograms cyclo-cluster |
| url | https://vestnik.guu.ru/jour/article/view/2925 |
| work_keys_str_mv | AT dyuzhmurko methodologyforidentifyingthesocioeconomicgenomeonthecommoditymarketforsugarproduction |