Multicriteria models evaluating the efficiency of regional economic systems
DOI:
https://doi.org/10.17072/1994-9960-2025-3-246-259Abstract
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.
Keywords: regional economy, multicriteria evaluation, Data Envelopment Analysis, gross regional product, capital, labor resources, federal district
For citation
Tsapenko M. V., Ermakova A. A. Multicriteria models evaluating the efficiency of regional economic systems. Perm University Herald. Economy, 2025, vol. 20, no. 3, pp. 246–259. DOI 10.17072/1994-9960-2025-3-246-259. EDN REBMLQ
REFERENCES
- Lysiankova М. V., Molchanov A. V. Methods for assessing the efficiency of investment and project activities: Comparative analysis and practical recommendations. Belorusian Economic Journal, 2022, no. 2 (99), pp. 48–70. (In Russ.). DOI 10.46782/1818-4510-2022-2-48-70. EDN WOHXGE
- Chechnev V. B. Analysis and classification of multi-criteria decision-making methods. Ontology of Designing, 2024, vol. 14, no. 4 (54), pp. 607–624. (In Russ.). DOI 10.18287/2223-9537-2024-14-4-607-624. EDN QMCAUL
- Mikoni S. V., Sokolov B. V., Burakov D. P. SVIR-M, selection and ranking alternatives system: Theoretical foundations and practice of application. Ontology of Designing, 2024, vol. 14, no. 3 (53), pp. 440–456. (In Russ.). DOI 10.18287/2223-9537-2024-14-3-440-456. EDN VHKQYF
- Charnes A., Cooper W. W., Rhodes E. Measuring the efficiency of decision making units. European Journal of Operational Research, 1978, vol. 2, iss. 6, pp. 429–444. DOI 10.1016/0377-2217(78)90138-8
- Banker R. D., Charnes A., Cooper W. W. Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science, 1984, vol. 30, no. 9, pp. 1078–1092. DOI 10.1287/mnsc.30.9.1078
- Zelenskaya Е. М. Measuring performance of cultural organizations on the data of the envelopment analysis. IKBFU’s Vestnik. Series: Humanities and Social Sciences, 2018, no. 2, pp. 39–51. (In Russ.). EDN XTAWXJ
- Kaigorodtsev A. A., Rakhmangulov A. N. Vybor konfiguratsii tsepei postavok na osnove kombinatsii imitatsionnogo modelirovaniya i metodov mnogokriterial'nogo otsenivaniya. Railway Transport and Technologies (RTT-2023): Proceedings of International Practical Science Conference, Yekaterinburg, 29–30 November 2023. Yekaterinburg, Ural State University of Railway Transport Publ., 2024, pp. 256–260. (In Russ.). EDN LXGSKG
- Barkalov S. А., Glushkov А. Yu., Moiseev S. I. Mathematical methods of multicriteria evaluation of attractiveness of projects. Bulletin of the South Ural State University, Series “Computer Technology, Automatic Control, Radio Electronics”, 2020, vol. 20, no. 1, pp. 111–119. (In Russ.). DOI 10.14529/ctcr200111. EDN HMUIEG
- Tsapenko M. V. Quantitative ways of estimating the regional innovative potential. Vestnik of Samara University. Aerospace and Mechanical Engineering, 2011, no. 4 (28), pp. 145–156. (In Russ.). EDN OXAROL
- Anufrieva Z. O. Otsenka vybora metoda optimizatsii nalogooblozheniya predpriyatiya po metodu ekspertnogo mnogokriterial'nogo otsenivaniya. Trudy Ul'yanovskogo nauchnogo tsentra «Noosfernye znaniya i tekhnologii». Ulyanovsk, Ulyanovsk State Technical University Publ., 2020, pp. 7–11. (In Russ.). EDN LBYLTO
- Díaz C. G., Díaz M., Laborda E., Pérez M., Pekakis P. Multicriteria approach for evaluating biowaste-valorization cases. Energy Storage and Saving, 2024, vol. 3, iss. 4, pp. 288–294. DOI 10.1016/j.enss.2024.06.002
- Mendas A., Mebrek A., Mekranfar Z. Group decision-making based on GIS and multicriteria analysis for assessing land suitability for agriculture. Revue Internationale de Geometique, 2024, vol. 33, pp. 383–398. DOI 10.2604/rig.2024.055321
- Monteiro J., Sousa N., Coutinho-Rodrigues J., Natividade-Jesus E. Benchmarking real and ideal cities – a multicriteria analysis of city performance based on urban form. Cities, 2024, vol. 150, Article 105040. DOI 10.1016/j.cities.2024.105040
- Ju W., Xing Z., Wu J., Kang Q. Evaluation of forest fire risk based on multicriteria decision analysis techniques for Changzhou, China. International Journal of Disaster Risk Reduction, 2023, vol. 98, Article 104082. DOI 10.1016/j.ijdrr.2023.104082
- Juanpera M., Domenech B., Ferrer-Martí L., García-Villoria A., Pastor R. Methodology for integrated multicriteria decision-making with uncertainty: Extending the compromise ranking method for uncertain evaluation of alternatives. Fuzzy Sets and Systems, 2022, vol. 434, pp. 135–158. DOI 10.1016/j.fss.2021.08.008
- Saaty T. Prinyatie reshenii. Metod analiza ierarkhii. Moscow, Radio i svyaz' Publ., 1993. 278 p. (In Russ.).
- Chupandina Е. Е., Zenkina А. V. The choice of method of analysis of financial stability pharmacies method of analysis of hierarchies of different groups of stakeholders. Modern Economics: Problems and Solutions, 2015, no. 7 (67), pp. 54–62. (In Russ.). DOI 10.17308/meps.2015.7/1272. EDN VBFHUP
- Pospehov G. B., Savón Yu., Moseykin V. V. Landslide susceptibility zonation using the analytical hierarchy process. A case study of Guantanamo Province. Mining Informational and Analytical Bulletin (Scientific and Technical Journal), 2024, vol. 1, pp. 125–145. DOI 10.25018/0236_1493_2024_1_0_125. EDN KPFWIY
- Kartvelishvili V. M., Lebedyuk E. A. Metod analiza ierarkhii: kriterii i praktika. Vestnik of the Plekhanov Russian University of Economics, 2013, no. 6 (60), pp. 97–112. (In Russ.). EDN QCRDPL
- Iglovskaya А. I., Salnikova А. А. Efficiency assessment of corporate social responsibility systems of electric grid companies of Russia using data envelopment analysis. Age of Quality, 2019, no. 3, pp. 86–105. (In Russ.). EDN MHJEXY
- Kumar N., Bhunia S., Dey P. Data envelopment analysis and multi-objective genetic algorithm-based optimization of energy consumption and greenhouse gas emissions in rice-wheat system. Energy, 2024, vol. 313, Article 133680. DOI 10.1016/j.energy.2024.133680
- Rukhlinskiy V. М., Khaustov А. А., Kuleshov A. A. Safety management system efficiency evaluation using data envelopment analysis. Nauchnyi vestnik GosNII GA, 2020, no. 31, pp. 119–129. (In Russ.). EDN COHYUY
- Cruz E. D., Sabado J. R. F. Credit risk and performance evaluation of cooperatives in Region XI using Data Envelopment analyses (DEA). European Journal of Economic and Financial Research, 2020, vol. 6, no. 1, pp. 101–120. DOI 10.46827/ejefr.v6i1.1268
- Peykani P., Esmaeili F. S. S., Pishvaee M. S., Rostamy-Malkhalifeh M., Lotfi F. H. Matrix-based network data envelopment analysis: A common set of weights approach. Socio-Economic Planning Sciences, 2024, vol. 95, Article 102044. DOI 10.1016/j.seps.2024.102044
- Undarga L.A Small and medium enterprise financing efficiency analyzing method based on an improved DEA model. Modern Issues of Higher Economic Efficiency in Agriculture under Current Conditions: Proceedings of International Practical Science Conference, Ulan Ude, 31 October 2023. Ulan Ude, BSAA Publ., 2023, pp. 8–16. (In Russ.). EDN ECZOCL
- Morgunov Е. P., Morgunova О. N. Modification of data envelopment analysis based on referential efficient frontiers. Sistemy upravleniya i informatsionnye tekhnologii, 2007, no. 1-2 (27), pp. 262–268. (In Russ.). EDN JWKLYD
- Derevyanov М. Yu. System analysis of structured complex for oil wastes recycling system. Vestnik of Samara State Technical University. Technical Sciences Series, 2024, vol. 32, no. 1 (81), pp. 32–55. (In Russ.). DOI 10.14498/tech.2024.1.3. EDN DYNHKX
- Wang Z., Fan Z. Green sustainability assessment and efficiency improvement study of international oil and gas companies: Based on data envelopment analysis. Heliyon, 2025, vol. 11, iss. 1, Article e40942. DOI 10.1016/j.heliyon.2024.e40942
- Kleiner G. B. Proizvodstvennye funktsii: teoriya, metody, primenenie. Moscow, Finansy i statistika Publ., 1986. 239 p. (In Russ.).