Elaboration of directions for sustainable socio-economic development using Big DATA

摘要

At the present stage, one of the most important areas of the economic policy development agenda is the course towards sustainable development, which is aimed to integrate the solution for economic, environmental and social problems. The relevance of the research topic outlined in this article is due to the fact that in the current circumstances effective solutions to the existing problems in the social and economic sphere are required, which demands significant investments aimed at improving the quality and safety of the population's life. At the same time, the adoption of effective decisions should be based on the results of an objective assessment of the level of sustainable development of territories. The receipt of this assessment is impossible without the use of reliable and promptly obtained data. This study examines approaches to using Big data in managing socio-economic systems and suggests elements of a methodology for diagnosing sustainable development of territories in accordance with the principles and content of the paradigm of a sustainable economy. The authors proposed a methodology for assessing the sustainability of the regional economy, which allow to identify the "growth points" of the socio-economic development of the region. The authors also mark that it is necessary to use the scenario approach in combination with the concept of cluster development. In the proposed methodology, the formation of scenarios is carried out using the methodology of experiment planning, which allows the formation of numerous development scenarios with different combinations of variables. This can be realized on the basis of using the theory of Big data. The core of each experiment is to make a cluster. Based on the results of the calculation, it will be possible to draw a conclusion on the sustainability of the development of basic clusters of the region, their impact on the socio-economic development of the territory as a whole, and to form management decisions to support them.