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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Autor principal:	D. Yu. Zhmurko
Formato:	article
Lenguaje:	RU
Publicado:	Publishing House of the State University of Management 2021
Materias:	socio-economic genetics cyclic genome high probability cycles spectral transformation forward analysis periodograms cyclo-cluster Sociology (General) HM401-1281 Economics as a science HB71-74
Acceso en línea:	https://doaj.org/article/9d3ef4717d7f475f88b1d7f021cf420b
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spelling	oai:doaj.org-article:9d3ef4717d7f475f88b1d7f021cf420b2021-12-03T07:43:36ZMethodology for identifying the socio-economic genome on the commodity market for sugar production1816-42772686-841510.26425/1816-4277-2021-6-82-95https://doaj.org/article/9d3ef4717d7f475f88b1d7f021cf420b2021-08-01T00:00:00Zhttps://vestnik.guu.ru/jour/article/view/2925https://doaj.org/toc/1816-4277https://doaj.org/toc/2686-8415Sets 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.D. Yu. ZhmurkoPublishing House of the State University of Managementarticlesocio-economic geneticscyclic genomehigh probability cyclesspectral transformationforward analysisperiodogramscyclo-clusterSociology (General)HM401-1281Economics as a scienceHB71-74RUВестник университета, Vol 0, Iss 6, Pp 82-95 (2021)
institution	DOAJ
collection	DOAJ
language	RU
topic	socio-economic genetics cyclic genome high probability cycles spectral transformation forward analysis periodograms cyclo-cluster Sociology (General) HM401-1281 Economics as a science HB71-74
spellingShingle	socio-economic genetics cyclic genome high probability cycles spectral transformation forward analysis periodograms cyclo-cluster Sociology (General) HM401-1281 Economics as a science HB71-74 D. Yu. Zhmurko Methodology for identifying the socio-economic genome on the commodity market for sugar production
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
author	D. Yu. Zhmurko
author_facet	D. Yu. Zhmurko
author_sort	D. Yu. Zhmurko
title	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_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_sort	methodology for identifying the socio-economic genome on the commodity market for sugar production
publisher	Publishing House of the State University of Management
publishDate	2021
url	https://doaj.org/article/9d3ef4717d7f475f88b1d7f021cf420b
work_keys_str_mv	AT dyuzhmurko methodologyforidentifyingthesocioeconomicgenomeonthecommoditymarketforsugarproduction
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Methodology for identifying the socio-economic genome on the commodity market for sugar production

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