Nataliya Parubok
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Methods of assessment of efficiency of creating regional innovative clusters for dynamic development of economics
Raisa Kozhukhіvska , Nataliya Parubok , Nataliya Petrenko , Svitlana Podzihun , Irina Udovenko doi: http://dx.doi.org/10.21511/imfi.14(3-2).2017.01Investment Management and Financial Innovations Volume 14, 2017 Issue #3 pp. 302-312
Views: 1147 Downloads: 182 TO CITE АНОТАЦІЯThe 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. -
Strategic management optimization of the regional agricultural sector by means of modern forecast modeling instruments
Liudmyla Tranchenko , Nataliya Petrenko , Liliia Kustrich , Nataliya Parubok , Oleksandr Tranchenko doi: http://dx.doi.org/10.21511/ppm.16(4).2018.06Problems and Perspectives in Management Volume 16, 2018 Issue #4 pp. 64-74
Views: 1167 Downloads: 139 TO CITE АНОТАЦІЯUnder the conditions of Ukraine’s integration into the world economic space, the agricultural sector is one of the priority and strategically important sectors of the national economy. The research objective is to substantiate the theoretical, methodological and methodical principles of strategic management of economic development of the regional agricultural sector and to solve actual problems in order to optimize strategic management based on cognitive scenarios of supply and demand balancing in the agrarian market, probabilistic modeling, which allows the regions to identify the “growth points”, to optimize the sectoral structures of the economy, to improve the quality and efficiency of the developed and implemented scenarios and the strategies of the agroindustrial production development in the region.
As a result of the research, a scenario-probabilistic model of economic development of the regional agrarian sector was proposed, which allows to identify the priority directions for the long-term perspective, to adjust the direction of development if necessary, to explore different scenarios of the development of events on the priorities change at the macro level in the conditions of uncertainty and risks.
Thus, the practical value of the research enables to predict the strategic development of the agricultural sector of the region and its individual areas by using a systematic approach and compositions of methodological approaches to analysis and forecasting, considering it as a complex and structured system.
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