ECONOMIC-MATHEMATICAL MODEL OF FORMATION OF INNOVATION AND ENGINEERING INDUSTRIAL CLUSTER

The subject of the article is the use of industrial clusters as tools for innovative economic growth. The purpose of the article is to develop an economic-mathematical model of the formation of an industrial cluster, and to create an algorithm for cluster zoning of the economy. Tasks to be solved –...

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Main Authors: Оlena Akhiiezer, Olha Dunaievska, Anton Rohovyi, Halyna Holotaistrova, Yurii Reshetniak, Serhii Mekhovych
Format: Article
Language:English
Published: Kharkiv National University of Radio Electronics 2023-04-01
Series:Сучасний стан наукових досліджень та технологій в промисловості
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Online Access:https://itssi-journal.com/index.php/ittsi/article/view/360
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author Оlena Akhiiezer
Olha Dunaievska
Anton Rohovyi
Halyna Holotaistrova
Yurii Reshetniak
Serhii Mekhovych
author_facet Оlena Akhiiezer
Olha Dunaievska
Anton Rohovyi
Halyna Holotaistrova
Yurii Reshetniak
Serhii Mekhovych
author_sort Оlena Akhiiezer
collection DOAJ
description The subject of the article is the use of industrial clusters as tools for innovative economic growth. The purpose of the article is to develop an economic-mathematical model of the formation of an industrial cluster, and to create an algorithm for cluster zoning of the economy. Tasks to be solved – analysis of the principles of innovative growth, development of a model of an innovation-engineering industrial cluster, formulation of a methodology for the formation of a regional innovation-engineering cluster, analysis and assessment of the features that arise in clusters, use of cluster analysis for systematization, classification and reduction of the number of features. Applied methods: system analysis, project approach, institutional theory, clustering methods, Bartlett’s sphericity criterion and Kaiser–Meyer–Olkin sampling adequacy criterion, multivariate regression analysis, Fisher’s F-test. The results obtained: it was determined that the best approach to unification of the main components of innovative development, namely state bodies, business and development institutes, is the creation of innovation and engineering clusters. The principles of creation and functioning of such clusters are described. It is shown that the basis of the cluster construction algorithm of regions is the integration of quantitative and qualitative methods of identification and clustering of the economy. This makes it possible, in contrast to existing approaches, not only to identify cluster elements, but also to model the levels of interaction between them. It is proposed to use the synergistic effect from the use of the newly formed structure as an assessment of the efficiency of the cluster. Conclusions: the use of regional innovation and engineering clusters allows for the formation of an effective strategy for the development of the region’s economy. The developed algorithm of cluster zoning integrates quantitative and qualitative methods of determining the clustering possibilities of the region’s economy. The complex interaction of economic and political factors leads to a synergistic effect and allows modeling cluster formation with the identification of the composition of participants and the level of interaction between them.
format Article
id doaj-art-da29f3f5cc3e4823b212ad713957533a
institution DOAJ
issn 2522-9818
2524-2296
language English
publishDate 2023-04-01
publisher Kharkiv National University of Radio Electronics
record_format Article
series Сучасний стан наукових досліджень та технологій в промисловості
spelling doaj-art-da29f3f5cc3e4823b212ad713957533a2025-08-20T02:51:20ZengKharkiv National University of Radio ElectronicsСучасний стан наукових досліджень та технологій в промисловості2522-98182524-22962023-04-011 (23)10.30837/ITSSI.2023.23.005ECONOMIC-MATHEMATICAL MODEL OF FORMATION OF INNOVATION AND ENGINEERING INDUSTRIAL CLUSTERОlena Akhiiezer0 Olha Dunaievska1Anton Rohovyi 2Halyna Holotaistrova 3Yurii Reshetniak 4Serhii Mekhovych 5Kharkiv national technical University "Kharkiv Polytechnic Institute"Kharkiv national technical University "Kharkiv Polytechnic Institute"Kharkiv national technical University "Kharkiv Polytechnic Institute"Kharkiv national technical University "Kharkiv Polytechnic Institute"Kharkiv national technical University "Kharkiv Polytechnic Institute"Kharkiv national technical University "Kharkiv Polytechnic Institute" The subject of the article is the use of industrial clusters as tools for innovative economic growth. The purpose of the article is to develop an economic-mathematical model of the formation of an industrial cluster, and to create an algorithm for cluster zoning of the economy. Tasks to be solved – analysis of the principles of innovative growth, development of a model of an innovation-engineering industrial cluster, formulation of a methodology for the formation of a regional innovation-engineering cluster, analysis and assessment of the features that arise in clusters, use of cluster analysis for systematization, classification and reduction of the number of features. Applied methods: system analysis, project approach, institutional theory, clustering methods, Bartlett’s sphericity criterion and Kaiser–Meyer–Olkin sampling adequacy criterion, multivariate regression analysis, Fisher’s F-test. The results obtained: it was determined that the best approach to unification of the main components of innovative development, namely state bodies, business and development institutes, is the creation of innovation and engineering clusters. The principles of creation and functioning of such clusters are described. It is shown that the basis of the cluster construction algorithm of regions is the integration of quantitative and qualitative methods of identification and clustering of the economy. This makes it possible, in contrast to existing approaches, not only to identify cluster elements, but also to model the levels of interaction between them. It is proposed to use the synergistic effect from the use of the newly formed structure as an assessment of the efficiency of the cluster. Conclusions: the use of regional innovation and engineering clusters allows for the formation of an effective strategy for the development of the region’s economy. The developed algorithm of cluster zoning integrates quantitative and qualitative methods of determining the clustering possibilities of the region’s economy. The complex interaction of economic and political factors leads to a synergistic effect and allows modeling cluster formation with the identification of the composition of participants and the level of interaction between them. https://itssi-journal.com/index.php/ittsi/article/view/360innovation-engineering industrial cluster, synergistic regional effect, factor analysis, cluster analysis
spellingShingle Оlena Akhiiezer
Olha Dunaievska
Anton Rohovyi
Halyna Holotaistrova
Yurii Reshetniak
Serhii Mekhovych
ECONOMIC-MATHEMATICAL MODEL OF FORMATION OF INNOVATION AND ENGINEERING INDUSTRIAL CLUSTER
Сучасний стан наукових досліджень та технологій в промисловості
innovation-engineering industrial cluster, synergistic regional effect, factor analysis, cluster analysis
title ECONOMIC-MATHEMATICAL MODEL OF FORMATION OF INNOVATION AND ENGINEERING INDUSTRIAL CLUSTER
title_full ECONOMIC-MATHEMATICAL MODEL OF FORMATION OF INNOVATION AND ENGINEERING INDUSTRIAL CLUSTER
title_fullStr ECONOMIC-MATHEMATICAL MODEL OF FORMATION OF INNOVATION AND ENGINEERING INDUSTRIAL CLUSTER
title_full_unstemmed ECONOMIC-MATHEMATICAL MODEL OF FORMATION OF INNOVATION AND ENGINEERING INDUSTRIAL CLUSTER
title_short ECONOMIC-MATHEMATICAL MODEL OF FORMATION OF INNOVATION AND ENGINEERING INDUSTRIAL CLUSTER
title_sort economic mathematical model of formation of innovation and engineering industrial cluster
topic innovation-engineering industrial cluster, synergistic regional effect, factor analysis, cluster analysis
url https://itssi-journal.com/index.php/ittsi/article/view/360
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AT olhadunaievska economicmathematicalmodelofformationofinnovationandengineeringindustrialcluster
AT antonrohovyi economicmathematicalmodelofformationofinnovationandengineeringindustrialcluster
AT halynaholotaistrova economicmathematicalmodelofformationofinnovationandengineeringindustrialcluster
AT yuriireshetniak economicmathematicalmodelofformationofinnovationandengineeringindustrialcluster
AT serhiimekhovych economicmathematicalmodelofformationofinnovationandengineeringindustrialcluster