Cluster advantages in the state management of the financial resources of the agricultural sector in the Sakha (Yakutia) Republic

The article is dedicated to the research of possibilities to use multivariate statistical analysis – cluster analysis – in developing measures for state management of the financial resources of agricultural sector in the Sakha (Yakutia) Republic.The research is based on the statistics methodology, t...

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Main Author: T. S. Rotar
Format: Article in Journal/Newspaper
Language:Russian
Published: Plekhanov Russian University of Economics 2017
Subjects:
Online Access:https://doaj.org/article/3d7b732f662e4d1599a0dfda89e1d06d
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spelling ftdoajarticles:oai:doaj.org/article:3d7b732f662e4d1599a0dfda89e1d06d 2023-10-09T21:56:27+02:00 Cluster advantages in the state management of the financial resources of the agricultural sector in the Sakha (Yakutia) Republic T. S. Rotar 2017-11-01T00:00:00Z https://doaj.org/article/3d7b732f662e4d1599a0dfda89e1d06d RU rus Plekhanov Russian University of Economics https://statecon.rea.ru/jour/article/view/1169 https://doaj.org/toc/2500-3925 2500-3925 https://doaj.org/article/3d7b732f662e4d1599a0dfda89e1d06d Статистика и экономика, Vol 0, Iss 5, Pp 14-22 (2017) статистика кластерный анализ кластер многомерная классификации районов сельское хозяйство финансовые ресурсы сельского хозяйства Economics as a science HB71-74 article 2017 ftdoajarticles 2023-09-10T00:44:20Z The article is dedicated to the research of possibilities to use multivariate statistical analysis – cluster analysis – in developing measures for state management of the financial resources of agricultural sector in the Sakha (Yakutia) Republic.The research is based on the statistics methodology, theory of economics, and on the regional economics of the Sakha (Yakutia) Republic. Table methods of qualitative data visualization and statistical methods of social and economic phenomena and processes were used as a range of statistical tools in the research. Particularly, the method of cluster analysis was realized by the means of STATISTICA 10.0 application software package for the research purposes. It is known, that using the methodology of cluster analysis allows breaking the analyzed population into groups according similar indicators. For the research purpose, we managed to define the set of indexes, comprising the array of indicators, characterizing the development of agriculture in the region under research.It is noted that district clusterization in the analyzed Republic according to the indexes of agriculture development will enable to design the measures for financial resources management per each group of uluses of the region more effectively. This is the novelty of the research.It is noted that the obtained types are homogenous for their structure and meaningfully interpretable: Cluster 1 – districts with high level of agricultural production; Cluster 2 – districts with high financial indexes in agriculture; Cluster 3 – districts with low indexes of agriculture; Cluster 4 – the northern high-profitable districts; Cluster 5 – the northern districts with low indexes of agriculture; Cluster 6 – Yakutsk city, the capital of the Sakha (Yakutia) Republic.The main conclusion of the research is recommendation of the priority measures for agricultural financial resources management in the agricultural sector of the Sakha (Yakutia) Republic in order to arrange the conditions for sustainable financial support and ... Article in Journal/Newspaper Yakutia Yakutia Republic Yakutsk Directory of Open Access Journals: DOAJ Articles Sakha Yakutsk
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language Russian
topic статистика
кластерный анализ
кластер
многомерная классификации районов
сельское хозяйство
финансовые ресурсы сельского хозяйства
Economics as a science
HB71-74
spellingShingle статистика
кластерный анализ
кластер
многомерная классификации районов
сельское хозяйство
финансовые ресурсы сельского хозяйства
Economics as a science
HB71-74
T. S. Rotar
Cluster advantages in the state management of the financial resources of the agricultural sector in the Sakha (Yakutia) Republic
topic_facet статистика
кластерный анализ
кластер
многомерная классификации районов
сельское хозяйство
финансовые ресурсы сельского хозяйства
Economics as a science
HB71-74
description The article is dedicated to the research of possibilities to use multivariate statistical analysis – cluster analysis – in developing measures for state management of the financial resources of agricultural sector in the Sakha (Yakutia) Republic.The research is based on the statistics methodology, theory of economics, and on the regional economics of the Sakha (Yakutia) Republic. Table methods of qualitative data visualization and statistical methods of social and economic phenomena and processes were used as a range of statistical tools in the research. Particularly, the method of cluster analysis was realized by the means of STATISTICA 10.0 application software package for the research purposes. It is known, that using the methodology of cluster analysis allows breaking the analyzed population into groups according similar indicators. For the research purpose, we managed to define the set of indexes, comprising the array of indicators, characterizing the development of agriculture in the region under research.It is noted that district clusterization in the analyzed Republic according to the indexes of agriculture development will enable to design the measures for financial resources management per each group of uluses of the region more effectively. This is the novelty of the research.It is noted that the obtained types are homogenous for their structure and meaningfully interpretable: Cluster 1 – districts with high level of agricultural production; Cluster 2 – districts with high financial indexes in agriculture; Cluster 3 – districts with low indexes of agriculture; Cluster 4 – the northern high-profitable districts; Cluster 5 – the northern districts with low indexes of agriculture; Cluster 6 – Yakutsk city, the capital of the Sakha (Yakutia) Republic.The main conclusion of the research is recommendation of the priority measures for agricultural financial resources management in the agricultural sector of the Sakha (Yakutia) Republic in order to arrange the conditions for sustainable financial support and ...
format Article in Journal/Newspaper
author T. S. Rotar
author_facet T. S. Rotar
author_sort T. S. Rotar
title Cluster advantages in the state management of the financial resources of the agricultural sector in the Sakha (Yakutia) Republic
title_short Cluster advantages in the state management of the financial resources of the agricultural sector in the Sakha (Yakutia) Republic
title_full Cluster advantages in the state management of the financial resources of the agricultural sector in the Sakha (Yakutia) Republic
title_fullStr Cluster advantages in the state management of the financial resources of the agricultural sector in the Sakha (Yakutia) Republic
title_full_unstemmed Cluster advantages in the state management of the financial resources of the agricultural sector in the Sakha (Yakutia) Republic
title_sort cluster advantages in the state management of the financial resources of the agricultural sector in the sakha (yakutia) republic
publisher Plekhanov Russian University of Economics
publishDate 2017
url https://doaj.org/article/3d7b732f662e4d1599a0dfda89e1d06d
geographic Sakha
Yakutsk
geographic_facet Sakha
Yakutsk
genre Yakutia
Yakutia Republic
Yakutsk
genre_facet Yakutia
Yakutia Republic
Yakutsk
op_source Статистика и экономика, Vol 0, Iss 5, Pp 14-22 (2017)
op_relation https://statecon.rea.ru/jour/article/view/1169
https://doaj.org/toc/2500-3925
2500-3925
https://doaj.org/article/3d7b732f662e4d1599a0dfda89e1d06d
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