Global trends and ways to develop the integrated forecasting methodology

  • Daniil Y. Zhmurko Krasnodar University MIA of Russia
Keywords: world trends, reference points, antiinertia paradigm, scientific platform, futurological image of the future

Abstract

Purpose: the article deals with the analysis of the state and ways of development of global trends in the field of integrated forecasting. The article describes the futurological image of the future trajectories of scientific forecasting in the framework of a single methodology. The author also presents the reference points in the development of applied forecasting. Discussions: the article shows the main trends and ways of developing the methodology of integrated forecasting, its capabilities and limitations. Practice shows that there are more and more new instrumental and mathematical methods of forecasting. And the main results obtained and the features of their forecasts made using the integrated forecasting methodology acquire the features of an interdisciplinary study. It is very important to develop plans for the strategic development of the object of research on the basis of complex forecasting of objective indicators of socio-economic development, which must be correlated with the world practice in this scientific field. The proposed conceptual solutions, which are presented in the article, allow us to focus, first of all, on the stable trends in the development of the world economy, the subjects, structures and institutions operating in them. Results: the article describes the prospects and ways of further development of global trends in the field of integrated forecasting not only for the sugar industry, but also for other sectors of the Russian national economy. The futurological image of the future trajectories of scientific forecasting is shown. Foreign experience in the field of long-term forecasting seems to be quite rational and will be useful for improving Russian practice.

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Published
2021-06-28
How to Cite
Zhmurko, D. Y. (2021). Global trends and ways to develop the integrated forecasting methodology. Modern Economics: Problems and Solutions, 6, 8-17. https://doi.org/10.17308/meps.2021.6/2610
Section
Mathematical Methods in Economics