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Экономико-математическая модель зонирования промышленных предприятий

Экономико-математическая модель зонирования промышленных предприятий

Abstract

В статье рассмотрена возможность построения экономико-математической модели зонирования промышленных предприятий в регионах Украины. С целью интеграции бизнеса, власти и науки предложен инновационно-инжиниринговый кластер (ИИПК). Применён факторный анализ ключевых показателей, определяющих принципы его размещения. Разработана методика формирования ИИПК и выполнен расчет его синергетического регионального эффекта. Проанализировано влияние таких кластеров на инновационную активность предприятий и региональный экспортный потенциал. The possibility of creation of economic-mathematical model of zoning of the industrial enterprises of regions of Ukraine is considered in the article. The technique of formation of innovative and engineering industrial clusters is offered. Influence of such clusters on innovative activity of the enterprises is analysed. The factorial analysis to finding of the key indicators defining placement of an innovative and engineering cluster is applied. The synergetic regional effect of innovative and engineering industrial clusters is gained.

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Keywords

региональный экспортный потенциал, факторы кластеризации, активность предприятий, ключевые показатели, clustering factors, ИИПК, synergetic regional effect, синергетический региональный эффект

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green