Methods of assessment of efficiency of creating regional innovative clusters for dynamic development of economics
Methods of assessment of efficiency of creating regional innovative clusters for dynamic development of economics

Summary/Abstract: The deployment of a systemic economic crisis in Ukraine was conditioned by the aggravation of the socio-economic situation in certain regions and the build-up of structural deformations in the economy and the preservation of an inefficient model of production organization. This situation requires the search for a new model of economic growth, which is based on the use of competitive advantages of regions and a combination of industrial, scientific and managerial potential of the domestic economy. Clustering is a form of internal integration that can provide both sustainability and a synergistic effect of counteracting global competition for today. The research of the foundations of the formation of a modern cluster theory is a significant theoretical and practical interest for the further development of a successful model of cluster policy in Ukraine. In addition, the important place in this judgment is the fact that this theory is in the stage of active formation and development. The purpose of the article is to study, analyze and develop the methods of assessment of efficiency of creating regional innovative clusters for dynamic development of economics. The article considers the methods of quantitative evaluation of clusters performance based on the analysis of effects of reducing transaction expenses, capital value, marketing expenses, innovation diffusion and employment of infrastructure in common. It was established that the application of innovative cluster approach is one of the most efficient tools in the fulfillment of tasks of enterprise modernization and ensuring the development of innovative sectors of economy. Cluster effects for regional economies are relative and, in general, can be used for estimating total cluster effect. The suggested variants of assessment of potential cluster effects will provide opportunities of carrying out a more complete cluster estimation and selection of the most efficient projects for increasing the efficiency of regional innovation clusters and dynamic development of economics.

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