Multicriteria models evaluating the efficiency of regional economic systems

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Introduction. The paper formulates and analyzes the solutions of multicriteria models employed to evaluate the efficiency of regional economic systems. Federal districts are taken as an experimental base, and the Central Federal District is used to evaluate the efficiency of economic systems in the regions located in this federal district. To calculate the efficiency indicator for the regional economic systems, the models refer to the principle of correlation between the resulting parameter, i.e. gross regional product, and the costs of basic aggregated resources: labor and capital. The purpose of the study is to develop the multicriteria models used to evaluate the efficiency of regional economic systems in order to rank them to determine the most effective ones on a fixed finite set of alternatives when various generalized evaluation functionals can be found. Materials and Methods. The 2022 official statistical data of federal districts and regions is taken as the initial material adjusted for the current prices. Data Envelopment Analysis (DEA) method was chosen as the basic approach. This method constructs an efficiency boundary (front) for the analyzed group of objects with their efficiency being evaluated by their proximity to the specified boundary in the range from 0 to 1. Results. Efficiency indicators are arrived at and compared on the basis of classical and alternative generalized functionals; research objects are ranked; the workability of the alternative evaluation functional determined by a linear combination of specific efficiency indicators is justified. Conclusions. The results of the study indicate the comparability of the estimates derived from the classical and alternative functionals. Alternative functional could considerably simplify the construction of efficiency fronts as the three-dimensional space is transformed into the two-dimensional one.

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Regional economy, multicriteria evaluation, Data Envelopment Analysis, gross regional product, capital, labor resources, federal district

Короткий адрес: https://sciup.org/147251896

IDR: 147251896   |   УДК: 330.44   |   DOI: 10.17072/1994-9960-2025-3-246-259