Опыт проектирования базы данных и алгоритма её использования для оценки и прогнозирования социально экологических рисков в региональных экономиках

Лясников Н.В.1,2, Буркальцева Д.Д.3
1 Института проблем рынка РАН, Russia
2 Российская академия народного хозяйства и государственной службы при Президенте Российской Федерации, Russia
3 Крымский федеральный университет имени В.И. Вернадского, Russia

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Journal paper

Economics and society: contemporary models of development (РИНЦ)
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Volume 9, Number 1 (January-March 2019)

Citation:

Lyasnikov, N. V., & Burkaltseva, D. D. (2019). Опыт проектирования базы данных и алгоритма её использования для оценки и прогнозирования социально экологических рисков в региональных экономиках. Economics and society: contemporary models of development, 9(1), 77-86. https://doi.org/10.18334/ecsoc.9.1.40539

Indexed in Russian Science Citation Index: https://elibrary.ru/item.asp?id=38479964
Cited: 2 by 24.01.2023

Abstract:
Purpose: based on the analysis of literature sources, as well as international experience to study the design of the database and highlight the algorithm of its use for the assessment and prediction of social and environmental risks in regional economies. Materials and methods: the methodological basis of this article is the literature on the development of database design and algorithm of its use, as well as open analytical materials for the assessment and prediction of social environmental risks in regional economies. Results: this article has defined the essence of database design the analysis of the algorithm its use for estimation and forecasting of socio-environmental risks in the regional economies. Conclusions: to date, databases (DB) are used everywhere. They come in many different types and can be used for a variety of industries and for a variety of purposes. Thus, for example, various databases on social and environmental risks can be created, which can then be applied in the context of a single regional economy. Application: the findings and results of the study can be used in the development of modern databases for further use in the assessment and forecasting of social and environmental risks in regional economies.

Keywords: design, database, algorithm, social and environmental risks, regional economy

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