Scholarly record

CLUSTER-BASED MODEL OF SOCIOECONOMIC AND INNOVATIVE DEVELOPMENT OF REGIONS

N.Fomin, A. Dyrdonova, E. Andreeva, E. Girfanova

Abstract

The paper concentrates on a study of the cluster-based concept of regional economies development. It has been empirically proven that the cluster-based approach appears to be one of the most effective instruments for regional economic growth and businesses integration. The approach is premised on formation of territorial-industrial clusters within which a network of interacting private, municipal and state enterprises, organizations and institutions is setup which facilitates joint efforts to address particular economic issues, as well as necessary actions to effectively promote comprehensive development of the area. In the context of theoretical and methodological concept of the cluster-based area development strategy it is still vital to address the issue of working out a methodological toolbox designed to substantiate the formed clusters efficiency and forecast their performance. This paper presents a methodological approach to justification of both existing and potential clusters efficiency, which is outlined based on two proprietary techniques. The first technique involves an assessment of clustering potential based on a quick evaluation of economic potential of the core enterprises operating in the cluster. According to the first technique, the economic potential is suggested to be evaluated using the rating principle subject to an analysis of the main elements of the potential, in particular, manufacturing, financial and marketing. The second technique represents a set of tools designed to forecast the synergetic effect achieved through the integration processes running inside the cluster. The described methodological approach has been tested using the territorial-industrial cluster model of Nizhnekamsk Municipal District of the Republic of Tatarstan. Furthermore, the Nizhnekamsk cluster potential development factors have been investigated in order to give analytical justification of the cluster-based approach applicability.

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