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Evaluation methods of the technical efficiency of the Siberian Federal District regions using the production possibilities curve

https://doi.org/10.34020/2073-6495-2022-4-076-091

Abstract

The relevance of the exploration is due to the problem of increasing the regions competitiveness by applying the methods of concept catching up and advancing technological development to assess the regions technical efficiency. A comprehensive approach is used to measure the technical efficiency of the region by various methods (DEA-method and MPI, SFA-method and the Cobb-Douglas production function), extended by cluster and dispersion methods as an analytical tool for designing simulation strategies for the development of regions. The object of the research is the regions of the Siberian Federal District, which differ in scale, economic structure and level of socio-economic development. The results of the research showed the effectiveness of using an integrated approach to measuring technical efficiency to develop simulation strategies for the development of regions.

About the Authors

A. A. Mikhalchuk
National Research Tomsk Polytechnic University
Russian Federation

A.A. Mikhalchuk – Candidate of Physical and Mathematical Sciences, Associate Professor

Tomsk



N. O. Chistyakova
National Research Tomsk Polytechnic University
Russian Federation

N.O. Chistyakova – Doctor of Economics, Associate Professor, Acting Head, School of Engineering Entrepreneurship

Tomsk



E. A. Akerman
National Research Tomsk State University
Russian Federation

E.A. Akerman – Master of Management, Junior Research Fellow, Institute of Economics and Management

Tomsk



V. V, Tatarnikova
National Research Tomsk Polytechnic University
Russian Federation

V.V. Tatarnikova – Candidate of Economic Sciences, Senior Lecturer, School of Engineering Entrepreneurship

Tomsk



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Review

For citations:


Mikhalchuk A.A., Chistyakova N.O., Akerman E.A., Tatarnikova V.V. Evaluation methods of the technical efficiency of the Siberian Federal District regions using the production possibilities curve. Vestnik NSUEM. 2022;(4):76-91. (In Russ.) https://doi.org/10.34020/2073-6495-2022-4-076-091



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