Subject. The problem of differentiating the regions of the Russian Federation by the level of economic efficiency. Objectives. Analysis of modern mathematical approaches to assessing production efficiency. Grouping of subjects of the Russian Federation according to the values of production efficiency parameters. Methods. Mathematical analysis tools were applied. Results. A distribution of regions by efficiency level on the criteria plane has been obtained, Pareto-efficient regions have been identified, and absolute and relative production efficiency have been calculated. The most effective within the framework of the used model are the sparsely populated regions of the North, Siberia, and the Far East, which specialize in the extraction of natural resources. Conclusions. The deterioration of the external economic situation due to sanction pressure and the outpacing growth of budget expenditures compared to the growth of revenues has led to a significant budget deficit both in the Russian Federation as a whole and in most regions of the country.
Keywords: efficiency, production function, total factor productivity (TFP), data envelopment analysis (DEA), comparative analysis
References:
Mitsek S.A. [Macroeconomic dynamics of the total factor productivity of the Russian economy]. Ekonomika regiona, 2021, vol. 17, iss. 3, pp. 799–813. (In Russ.) EDN: MSVOPP
Haider F., Kunst R., Wirl F. Total Factor Productivity, its Components and Drivers. Empirica, 2021, vol. 48, iss. 2, pp. 283–327. DOI: 10.1007/s10663-020-09476-4
Rehman N.U., Nunziante G. The Effect of the Digital Economy on Total Factor Productivity in European Regions. Telecommunications Policy, 2023, vol. 47, iss. 10. DOI: 10.1016/j.telpol.2023.102650
Belloc F., Bimonte S., Martino R. Is TFP Clean or Dirty? The Nexus Between Environmental and Economic Efficiency. Energy Economics, 2025, vol. 152, iss. C. DOI: 10.1016/j.eneco.2025.108990
Myasnikov A.A. [Analysis of the determinants of total factor productivity in Russian regions]. Ekonomika regiona, 2018, vol. 14, iss. 4, pp. 1168–1180. (In Russ.) EDN: YRPZZB
Hrechyshkina O.О., Vasylchenko A.O. [Analysis of total factor productivity of the Republic of Belarus: retrospective decomposition of economic growth factors]. Ekonomika i banki, 2024, no. 1, pp. 52–63. (In Russ.) EDN: VTBGKO
Kadochnikova E.I., Bagautdinova N.G., Khomidov S.O. [Sector trends of total factor productivity: where is the growth potential?]. Russian Journal of Economics and Law, 2024, vol. 18, iss. 4, pp. 876–897. (In Russ.) EDN: TTOULE
Kumbhakar S.C., Knox Lovell C.A. Stochastic Frontier Analysis. Cambridge University Press, 2003, 333 p.
Panwar A., Olfati M., Pant M., Snasel V. A Review on the 40 Years of Existence of Data Envelopment Analysis Models: Historic Development and Current Trends. Archives of Computational Methods in Engineering, 2022, vol. 29, iss. 7, pp. 5397–5426. DOI: 10.1007/s11831-022-09770-3
Camanho A.S., Silva M.C., Piran F.S., Lacerda D.P. A literature Review of Economic Efficiency Assessments Using Data Envelopment Analysis. European Journal of Operational Research, 2024, vol. 315, iss. 1, pp. 1–18. DOI: 10.1016/j.ejor.2023.07.027
Martić M., Savić G. An Application of DEA for Comparative Analysis and Ranking of Regions in Serbia with Regards to Social-economic Development. European Journal of Operational Research, 2001, vol. 132, iss. 2, pp. 343–356. DOI: 10.1016/S0377-2217(00)00156-9
Koengkan M., Fuinhas J.A., Kazemzadeh E. et al. Measuring the Economic Efficiency Performance in Latin American and Caribbean Countries: An Empirical Evidence from Stochastic Production Frontier and Data Envelopment Analysis. International Economics, 2022, vol. 169, pp. 43–54. DOI: 10.1016/j.inteco.2021.11.004
Chaika L.V. [Efficiency of regional economy: positions of the Northern regions of the Russian Federation]. Regionalistika, 2019, vol. 6, iss. 6, pp. 116–126. (In Russ.) EDN: YKORRY
Chaika L.V. [Differentiation of the economic efficiency in the regions of Russia]. Statistika i ekonomika, 2020, vol. 17, iss. 1, pp. 54–68. (In Russ.) EDN: IOYIKX
Fedorova E.A., Chernikova L.I., Musienko S.O. [Assessment of the regional government's efficiency]. Ekonomika regiona, 2019, vol. 15, iss. 2, pp. 350–362. (In Russ.) EDN: NQNOSJ
Karlin S. Mathematical Methods and Theory in Games, Programming, and Economics: Matrix Games, Programming, and Mathematical Economics. Elsevier, 2014, 444 p.
Nagaeva O.S., Popodko G.I. [Comparative analysis of labour productivity in the resource and non-resource regions of Russia]. Ekonomika truda, 2019, vol. 6, iss. 4, pp. 1299–1316. (In Russ.) EDN: YBPLNY
Zimnyakova T.S. [Labor efficiency factors in resourse-dependent and non-resource regions]. Voprosy upravleniya, 2021, vol. 69, iss. 2, pp. 47–60. (In Russ.) EDN: BZDVIW
