Registration Number
0222U002502,
0119U001304
, R & D reports
Title
Models of stimulating the development of small and medium enterprises in the context of regional Smart specialization
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Head
Polishchuk Yevheniia A,
Registration Date
13-02-2022
Organization
Kyiv National Economics University named after Vadym Hetman
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The methodological basis for solving the tasks is: systematic and dialectical approaches in establishing cause-and-effect relationships of SME development, competitiveness of the region and the level of welfare of citizens; historical approach to the assessment of regions in terms of their entrepreneurial inclusiveness, taking into account gender aspects, development of models of SME incentives in the regions; positive and normative approaches in the analysis of world practice of using SMART-specialization (which is an innovative approach aimed at stimulating growth and employment in EU countries, which allows each region to identify and develop its own competitive advantages) regions and justify their use and feasibility in Ukraine . The novelty of the study is to develop conceptual frameworks for models of SME development depending on the cluster affiliation of regions and local communities based on the use of SMART specialization tools and innovative IT tools (including interactive mapping - MapInfo, Surfer), which allow to develop measures to eliminate existing territorial disparities in order to improve the business environment in the regions. Along with the use of general and special research methods, the project provides for the use of methods, techniques and methodologies that contain elements of scientific novelty. In particular, the interdisciplinary approach, which is at the intersection of regional studies, sociology, investment, finance, statistics, mathematical modeling; methodological approaches of institutional theory and the theory of behavioral finance when applying the approach of SMART-specialization of regions; economic-statistical and mathematical modeling, the application of which will be based on the use of programming language R (or Python using Machine Learning libraries), as well as to assess the relationship between macroeconomic, regional and SME development indicators.
Product Description
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Ivashchenko Alla I.
Ignatova Yuliya Volodymyryvna
Bezverkhyi Kostiantyn V
Vasylyshen Yuriy Volodymyrovich
Goivaniuk Maryna Petrivna
Kornyliuk Anna Valentynyvna
Lubkovskyi Serhii A.
Naraevska Daria S.
Osadchiy Yevgeniy Sergiyovich
Polishchuk Yevhenia Anatoliivna
Romanchenko Tetiana T.
Uzvyak Andrii V.
Yangol Hanna V.
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2022-03-09
