Work

Clustering of agro-industrial complex of the Republic of Kazakhstan: prerequisites, distinguishing features, correlation matrix

Year: 2024
Type: article
Abstract: The role of cluster formations in increasing the competitiveness of products and accelerating the innovative development of the agrarian economy of Kazakhstan is revealed. Theoretical and practical principles, prerequisites and methodological approaches to the creation of agro-industrial clusters are defined, their distinctive features are revealed. Purpose - economic interests of clustering in agro-industrial complex in the context of regions of the republic are considered. The selection of objects in 17 regions with the highest economic indicators of financial and economic activity was carried out. Methods – k-means - for preliminary reduction of data dimensionality by means of factor analysis; rapid cluster analysis - in order to combine economic entities into cluster components on the basis of similar characteristics. Results - primary data were collected, correlation matrix was constructed and the presence of generalized factors was assessed to reduce the dimensionality of the studied attributes. Multivariate statistical study of agricultural products production by regions for 2023 was carried out. The variant with 5 clusters, the order and map of location of 17 administrative-territorial units of regional significance were adopted, the dendrogram of intergroup linking of regions was developed. Conclusions - cluster analysis allows to distribute the totality of objects (regions) of the Republic of Kazakhstan into five cluster formations, connecting in them the enterprises having similar structure and production specialization. The identified groups can be used for rating assessment of agro-industrial cluster that promotes effective integration of resources and knowledge. It has been established that the application of the cluster approach contributes to increasing productivity and sustainability of the agricultural sector, ensuring long-term development and competitive advantages.
Language: English
Open Access status: diamond
OpenAlex ID: W4403233126
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