Chuprov K.K.

Purpose. Identification of specific features affecting the market (free) and embedded social relations on the formation and development of the explicit and latent cluster-network organizations in the regional economy. Methods. To justify the hypotheses, provided in the article, a detailed analysis of the published Russian and foreign research and literature sources has been carried out. The review of the literature on this topic allowed formulating conclusions about the significance of the embedded and market relations in the formation and development of cluster-network organizations in the regional economy. Results. The regularities of the integration effects growth in the regional economy connected with the dominance of embedded or market social relations are revealed. The degree of influence of the social embeddedness of relations between firms located in the same region on their economic growth is identified. Scientific novelty. A new form of organization “cluster-network organization” is proposed. Social relations referring to the factors of the cluster-network organizations formation are classified. An approach to identify the cluster-network organizations, including the sociological, cultural and historical research methods is provided. The degree of influence of the embedded and market social relations on the cluster-network organization formation is revealed.

Purpose. To explore the possibilities of methods of quantitative analysis for the objective identification of regional clusters in the administrative districts of Moscow. Methods. The work is based on the study of territorial concentration of employment and enterprises, allocated by economic activity. To identify the amorphous cluster formations on the territory of administrative districts of Moscow, the author used the method of structural and logical content analysis contained in the statistical databases of Moscow. Well-known methods for the analysis of static data have been used, namely: placement coefficient (LQ location quotient), cluster group size coefficient (SQ size quotient), cluster group focus coefficient (FQ focus quotient), CAGR method (Compound Annual Growth Rate/ Compound annual growth rate), Gini coefficient calculation method (GINI). Results. The article presents an analysis of the concentration and specialization of employment in the administrative districts of Moscow. Revealed amorphous cluster associations at the level of municipalities of the Moscow city. Separately, presents the results of the quantitative analysis of regional clusters the administrative district «Zelenograd» and the administrative district «Troitsk». The article presents the author's position on the existence of amorphous cluster associations of enterprises and organizations in the administrative districts of Moscow city. Scientific novelty. The elements of scientific novelty are the introduction of the concept of «amorphous cluster association» a separate form of horizontal integration of enterprises in the region. Author reveals the interrelation of indicators of concentration and specialization with the unevenness of employment in the municipalities of the metropolis, that can serve to create a classification of amorphous cluster associations. The study developed a comprehensive method of identifying the amorphous cluster associations of enterprises and organizations.