Cluster analysis of Ukraine regions on the key indicators of the innovation development level

Єрмак, Світлана Олександрівна and Yermak, Svitlana (2017) Cluster analysis of Ukraine regions on the key indicators of the innovation development level. Економіка розвитку, 1 (3(83)). pp. 34-43. ISSN 1683-1942

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Abstract

The task of modernizing the main vectors of Ukraine's social and economic development inevitably leads to the need for additional definition of the mechanisms and instruments of positive influence on the economic components of this process, the use of innovative approaches that can fundamentally change the situation and indicate ways to achieve the updated positive dynamics. Last years the most recognized and an effective organizational form of developing a competitive business in the innovation sphere is the integration of subjects of innovation into regional innovation clusters. The purpose of this study is to group the regions of Ukraine with the help of cluster analysis of key indicators of innovation development in accordance with the chosen algorithm. The article developed a system of key indicators for assessing the innovative development of the regions, which consists of four main blocks (scientific, personnel, financial, innovation), which in turn contain a set of indicators that most closely reflect the level of innovative development of the region. Using cluster analysis, the regions of Ukraine were divided into four clusters (with the highest, high, medium and low levels of innovation development) with the agglomerate hierarchical method of clustering Ward using the Euclidean distance metric, and revealed their main characteristics. Similar calculations were carried out also over the previous five years, which allowed us to investigate the dynamics of clusterization according to the level of innovative development of Ukrainian enterprises in the regional context. Using the results of the dynamics of the distribution of regions across clusters, one region was chosen from each cluster, which is its bright representative and is characterized by a stable tendency towards a certain level of innovative development. A study of the trends in the development of each cluster by means of correlation-regression analysis using the example of selected regions may serve as a topic for further research.

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