Matrix for Selecting Methods of Forecasting Regional Socio-Economic Development: An Adaptive Taxonomy for Managerial Decision-Making
https://doi.org/10.26794/2304-022X-2026-16-1-6-16
Abstract
The purpose of this study is to develop a matrix for selecting methods for forecasting the socio-economic development of regions. The scientific novelty of the research lies in the classification of existing approaches used to address this issue, the identification of their advantages and limitations, the specification of required data and resources, the consideration of uncertainty factors and forecast-specific tasks, and the determination of the planning horizon. The study employs such methods like a systems approach, as well as comparative and retrospective analyses. The findings, obtained through a review of publications on regional socio-economic development forecasting over the past twenty years, may be useful both to the academic community and to decision-makers involved in related policy and management processes.
About the Author
M. N. Arnaut
Vladivostok State University
Russian Federation
Russian Federation
Marina N. Arnaut — Cand. Sci. (Econ.), Associate Professor, Department of Economics and Management
Vladivostok
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Review
For citations:
Arnaut M.N. Matrix for Selecting Methods of Forecasting Regional Socio-Economic Development: An Adaptive Taxonomy for Managerial Decision-Making. Management Sciences. 2026;16(1):6-16. (In Russ.) https://doi.org/10.26794/2304-022X-2026-16-1-6-16
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