Methodological approaches to the diagnostic socio-economic development of regions

Olena Semenenko and Oleksandr Havrylko
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Olena Semenenko: Hryhoriy Skovoroda University in Pereyaslav
Oleksandr Havrylko: Hryhoriy Skovoroda University in Pereyaslav

University Economic Bulletin, 2022, issue 54, 109-116

Abstract: The article presents the model and methodology of diagnosis of socio-economic development of regions. The subject of the study is a set of theoretical and methodological principles and applied aspects of assessment (diagnosis) of the socio-economic development of a region. The purpose of the work is to justify the algorithm of diagnosis of socio-economic development of a region in order to create an optimal strategic plan of regional development. Methodological basis of the article. To achieve the goal and solve the tasks set in the research, a complex of general scientific and applied research methods was used: the method of system analysis, mathematical modeling, qualitative methods, methods of expert evaluation and analytical planning, the rating method, the method of complex weighted estimates, economic-mathematical and statistical methods. Study results. A structural model of diagnosis of socio-economic development of the region has been developed. The algorithm for monitoring the state of development of the region based on the integral indicator of socio-economic development is presented and substantiated. The theoretical provisions presented in the article made it possible to formulate proposals of a scientific and practical nature regarding the planning of strategies for the development of the region based on the diagnosis of the state of its socio-economic development. Conclusions. Formulated and substantiated theoretical provisions allow improving the process of diagnosis of socio-economic development of the region.

Keywords: diagnostics; region; development; socio-economic development; potential; quality; strategies (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:aff:colart:y:2022:i:54:p:109-116

DOI: 10.31470/2306-546X-2022-54-109-116

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