EVALUATION OF THE PROSPECTS OF POSTINDUSTRIAL AND NEOINDUSTRIAL MODERNIZATION OF THE REGIONAL ECONOMY (IN THE CASE OF THE POLTAVA REGION)
Journal Title: Економічні інновації - Year 2018, Vol 20, Issue 2
Abstract
Topicality. Sustained economic growth in the Poltava region is possible due to the implementation of post-industrial and neo-industrial modernization transformations using modern integration technologies. Aim and tasks. The purpose of the article is to determine the prospects of postindustrial and neoindustrial modernization of the economy of the Poltava region in the context of the European integration vector. The tasks are to analyze the main tendencies of the development of the Poltava region; assessment of postindustrial and neoindustrial modernization of the economy; Identification of prospects for European integration of the Poltava region; providing suggestions for the formation of modern integration technologies. Research Results. It was analyzed in the dynamics of development of the Poltava region, which allowed to identify the features of technological lag, low competitiveness in the world market, dependence on imports, prevalence of medium and low-tech industries. The state of post-industrial and neo-industrial modernization transformations for 10 years is estimated. The insufficient level of development of the scientific and educational spheres is revealed, as a result of which the connection between elements "science-education-industry" is violated. The state and trends of the deployment of the processes of trade and economic integration of the Poltava region in the European space are analyzed. It is proposed at the level of economic regions, regions, cities, districts and territorial communities to form corporations ahead of development, clustering and public-private partnerships. Conclusions Promising directions of realization of postindustrial and neoindustrial modernization of the economy of the Poltava region are integration technologies, in particular, advanced development corporations, clustering and public-private partnerships.
Authors and Affiliations
V. I. LYASHENKO, N. V. KUZMENKO, I. P. PETROVA
Keywords
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- EP ID EP481521
- DOI 10.31520/ei.2018.20.2(67).130-148
- Views 92
- Downloads 0
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