Urgency of the research. The success of the country's economic development is determined by the level of infrastructure development, in particular such its types as transport and logistics, which determine the speed of business processes and their ultimate efficiency. Nowadays Ukraine shows low ratings of the development of the transport and logistics market, which may negatively affect the country's participation in the world foreign trade turnover. Target setting. One of the directions of improving the situation is the formation of transport and logistics clusters (TLC) as the most efficient form of the innovation-oriented integration of participants of the transport and logistics services market and the coordination of their economic interests throughout the chain of added value. Actual scientific researches and issues analysis. The analysis of research on cluster problems has shown that carefully elaborated questions are the ones about identifying clusters, defining their types, as well as principles of cooperation and mechanisms of the state support. Uninvestigated parts of general matters defining. The methodological approaches to determining the TLC performance require further development. The research objective. The integral indicators of the transport and logistics cluster performance are modelled in the article in order to identify and provide practical support to those directions of the TLC development that have the greatest socioeconomic potential. The statement of basic materials. Four groups of indicators of the TLC performance are distinguished: economic, social, innovative and environmental. The most important indicators of the TLC performance for each of the groups were selected; and based on their expected dynamics, the integral indicators for each group indicator of the TLC performance were determined. Conclusions: The modelled integral indicators of performance can be used to determine the impact on the overall TLC performance, as well as to analyse the dynamics of changes in the economic, environmental, social and innovative spheres in the process of functioning of the TLC.

Urgency of the research. In the conditions of intensive development of the world trade and transport relations and global integration processes, the increase of efficiency of the multimodal cargo transportation between regions, countries and continents is of great importance. Target setting. One of the reasons of inhibition of the multimodal transportation development in the domestic economy is the lack of an advanced network of transport and logistics clusters (TLCs). Actual scientific researches and issues analysis. The most investigated are the issues of essence, economic preconditions and advantages of cluster formation. Uninvestigated parts of general matters defining. However, some additional research is required on the practical issues of cluster formation in specific regions and sectors of the domestic economy taking into account their specific features. The search objective. In the proposed research the main attention is focused on the rationale for the mechanism of providing economic development of transport and logistics enterprises on the basis of clustering. The statement of basic materials. The article provides calculations of a localization coefficient, a focus and a size of a cluster group, based on which the practicability of creation of a transport and logistics cluster in the city of Kyiv and Kyiv region is substantiated. The list of potential participants of a cluster is provided, and the mechanism of providing economic development of transport and logistics enterprises on the basis of clustering is developed. Conclusions. The formation and functioning of transport and logistics clusters in Ukraine will allow joining the unified European and Asian transport system with common infrastructure; as well as create conditions for the efficient functioning of a national multimodal transportation network.

Abstract. Introduction. Effectiveness of territorial and industrial clusters is defined with regard to the ability of companies to generate synergies from cooperative relationships. The article is aimed to resolve the problem of the creation an optimal cluster system of companies to get synergies. Purpose. To create a method for evaluating the relative synergy effect and construct schemes to establish optimal relationships between the companies of the cluster in order to ensure maximum synergies. Methods. The calculations are the sequence of the following steps: identification of factors of synergy which can be quantified; calculation of the matrix of relative synergy indicators of the companies on the basis of the defined factors; calculation of the overall synergy effect from the cooperation of the companies taking into account all the factors and their coefficient rankings; establishment of ranking of various options for cooperation; construction of the scheme for optimal synergy relationships between the companies within the cluster. Results. The authors have developed a method of calculation of various synergy factors for leather companies, among which are: cooperation in the field of repair service equipment; joint procurement of raw materials; joint promotional activities, advertisement, exhibitions, etc.; cooperation in research development; sharing of infrastructure. Conclusions. The optimal scheme of cooperation areas was built on the basis of the calculation in order to generate the greatest synergies. Keywords: Cluster of Companies; Synergies; Method of Synergies Calculation; Leather Industry JEL Classіfіcatіon: C19; L14; M13 DOI: http://dx.doi.org/10.21003/ea.V158-11 Паливода О. М. кандидат економічних наук, доцент, кафедрa економіки підприємства, Київський національний університет технологій та дизайну, Київ, Україна Плаван В. П. доктор технічних наук, професор, завідувач кафедри прикладної екології, технології полімерів та хімічних волокон, Київський національний університет технологій та дизайну, Київ, Україна Оцінювання синергетичного ефекту формування кластерних організаційних структур Анотація. Представлена стаття спрямована на розв'язання проблеми побудови оптимальної за синергією кластерної систем на прикладі компаній шкіряної промисловості. Для цього запропоновано методику, яка ґрунтується на розрахунку відносних показників синергетичного ефекту за різними факторами. На основі розрахунків побудовано схему оптимальних напрямів кооперації компаній, що потенційно здатні генерувати найбільший синергетичний ефект. Ключові слова: кластер компаній; синергетичний ефект; методика розрахунку синергетичного ефекту; шкіряна промисловість. Паливода Е. М. кандидат экономических наук, доцент, Киевский национальный университет технологий и дизайна, Киев, Украина Плаван В. П. доктор технических наук, профессор, заведующий кафедрой прикладной экологии, технологии полимеров и химических волокон, Киевский национальный университет технологий и дизайна, Киев, Украина Оценка синергетического эффекта формирования ...

The aim. The article is devoted to the development of methodological approaches to the strategic management of the development of transport and logistics clusters, which take into account opportunities and barriers, especially the domestic economic environment, as well as the specifics of certain types of economic activity. Methods. The economic and mathematical model is substantiated using the Savage criterion, which gives an opportunity to choose the optimal strategy of transport and logistics cluster development in the domestic conditions of management taking into account the different expectations of business entities. Methods similar to the Wald, Bayesian and Savage criteria were used for choosing optimal strategies in decision making theory and optimization problems of the following types were solved: when the distribution of states of the environment is unknown and assumed to be the most unfavourable; when it is known empirical expected distribution of environmental conditions and that is the average expected performance level for each indicator's group; when it is known expected division of the priorities of the decision-making entity that is the average expected level of financial (organizational, etc.) support for a certain group of indicators. Results. Four types of "clean" cluster development strategies are identified and described, which can be used in various combinations by transport and logistics companies. The economic and mathematical model of the transport and logistics cluster performance is presented, which allows implementing a large number of combinations of types of cluster development strategy by taking economic, environmental, social and innovative measures, affecting different groups of performance indicators. The influence of all possible variants of the binary and ternary combination of different types of transport and logistics cluster development strategies on the cluster performance is considered. It is established that the greatest influence on the transport and logistics cluster performance is exerted by the combination of economic and innovative types of strategy. Practical significance. Given the interest of entrepreneurs in cluster forms of organization and the strengthening of cooperation with EU countries, present development promotes scientific approaches to modelling cluster development strategies in the economy of Ukraine. Relevance/originality. The developed simulation model increases the likelihood of implementing the most optimal combination of "clean" development strategies, contributes to a more accurate prediction of cluster development and as a methodological approach can be applied to various types of economic activity.

The interrelation between the innovation activity of enterprises and various types of network cooperation is of practical importance for the effective strategic management of network structures. In the present study, on the basis of indicators that measure innovation and technological effects and are adapted to the standards of statistics of the EU countries, the weighted aggregate innovation index of light industry companies in Ukraine and the EU countries is justified and calculated. On the basis of correlation and regression analysis, the relationships of varying strength are established between the integrated innovation index and different types of network innovative cooperation of light industry companies of the EU countries. The high-strength relationship is revealed between the innovation index of light industry and the indicators of the share of companies that had partners within their group of companies; that were involved in any type of network innovation partnership; that had partners in innovative cooperation among universities; that were involved in any type of partnership with a foreign partner from the EU countries, the EFTA countries or the candidate countries for accession to the EU. The construction of a correlation-regression model of the dependence of the innovation index of light industry on the share of innovation-active companies involved in any type of network innovation partnership and the share of innovation-active companies involved in network cooperation with a foreign partner from the EU countries, the EFTA countries or the candidate countries for accession to the EU given the possibility to predict the level of innovation of domestic companies of light industry depending on the level of their involvement in different types of network innovative cooperation.