About the Indicators of Economic Evaluation Research Activities of a University

The subject of the study, the results of which are presented in this article, are the specifics of the application of indicators of economic evaluation of the activities of the university. The purpose of the study is to develop the main indicators of economic evaluation of the scientific and research activities of the university. The research methods that were used in conducting this study include the following: the method of economic modeling of the scientific and research activities of the university, statistical and mathematical methods, as well as general scientific methods, such as: analysis, synthesis, induction, deduction, abstraction, generalization. The results of the study are as follows. The article proposes a number of indicators of economic evaluation of the scientific and research activities of universities, which are proposed to be understood as certain quantitative characteristics of scientific and research activities that can be amenable to economic evaluation, including such as “average”, “optimal standard of publication activity”, “optimal volume of funding”, “deficit/surplus” of funding for science”, “optimal volume of publications”, “indicators of the economic efficiency of universities both in terms of costs and volume of publication activity”.

1. Arzhanova I. V., Shiryaev M. V., Mityakov S. N. On Approaches to Assessing Con-tribution of Russian Universities in the Implementation of National Projects. Vy-sshee obrazovanie v Rossii = Higher Education in Russia, 2019, vol. 28, no. 12, pp. 23–35. (in Russ., abstract in Eng.) DOI: https://doi.org/10.31992/0869-3617-2019-28-12-23-35

2. Dushina L. S. Metodicheskiye podkhody k otsenke ekonomicheskoy effektivnosti deyatel’nosti nauchnykh organizatsiya [Methodological approaches to assessing the economic efficiency of scientific organizations]. Vestnik Nauki i Tvorchestva, 2016, no. 6 (6), pр. 69–74. (in Russ.)

3. Kelchevskaya N. R. Otsenka ekonomicheskoi ustoichivosti gosudarstvennogo vuza [Assessment of economic sustainability of a state university]. Universitetskoye up-ravleniye: praktika i analiz, 2002, no. 4, pp. 5–23. (in Russ.)

4. Khrustalev E. Yu. Ilmenskaya E. M Metody otsenki i stimulirovaniya nauchno-issledovatel’skikh proyektov i programm [Methods of evaluation and stimulation of scientific research projects and programs]. Ekonomicheskiy analiz: teoriya i praktika, 2014, no. 17 (369), рp. 2–12 (in Russ.)

5. Kremkov M. V. Matematicheskiy metod opredeleniya effektivnosti deyatel’nosti uchebnykh i nauchnykh uchrezhdeniy ekonomicheskogo profilya {Mathematical method for determining the efficiency of educational and scientific institutions with an economic profile] Matematicheskaya podgotovka studentov ekonomicheskikh napravleniy: materialy mezhdunarodnoy nauchno-metodicheskoy konferentsii, Mathematical training of students majoring in economics: materials of the international scientific and methodological conference, St. Petersburg, March 25, 2016. St. Petersburg: St. Petersburg State University of Economics, 2016, рр. 127–136. EDN VSWSAZ. (in Russ.)

6. Latkov et al. Problemi otsenki institutsionalnikh i psikhologo-ekonomicheskikh faktorov v strukture sebestoimosti nauchno-issledovatelskoi deyatelnosti vuzov v prognoznii period 2015–2022 gg [Problems of institutional, psychological and economic factors assessment in the cost structure of univ ersities research activities for the forecast period of 2015–2022] Psihologo-ekonomicheskie issledovaniya, 2016, vol. 3, no. 3, pp. 60–78. (in Russ.)

7. Petukhov I. S. Issledovatelskaya deyatelnost vuzov i yeyo ekonomicheskaya effektivnost [Higher schools’ research activity and its economic efficiency] Nauchnyj vestnik MGIIT, 2012, no. 5(19), pp. 135–139. (in Russ.)

8. Popov D. V. Logika metodik otsenki effektivnosti deyatel’nosti vuzov [Logic of the methods for evaluating university performance] Vestnik PNIPU. Sotsial’no-ekonomicheskiye nauki, 2019, no. 2, рp. 258–270. (in Russ.)

9. Shibzukhova L. A., Tokmakova R. A., Shibzukhov T. A. Osnovnie kriterii otsenki effektivnosti innovatsionnoi deyatelnosti vuz [Main criteria for evaluating effectiveness of university innovation activities] Vestnik nauki, 2024, vol. 1, no. 2, pp. 145–149. (in Russ.)

10. Durairaj S. K. et al. Evaluation of life cycle cost analysis methodologies. Corporate Environmental Strategy, 2002, vol. 9, no. 1, рp. 30–39.

11. Ghimire A., Ali S., Long X., Chen L., Sun J. Effect of Digital Silk Road and innovation heterogeneity on digital economy growth across 29 countries: New evidence from PSM-DID. Technological Forecasting and Social Change, 2024, vol. 198, 122987. https://doi.org/10.1016/j.techfore.2023.122987

12. Henry C., Lahikainen K. Exploring intrapreneurial activities in the context of the entrepreneurial university: an analysis of five EU HEIs. Technovation, 2024, vol. 129, pp. 102893.

13. Krammer S. M. Science, technology, and innovation for economic competitiveness: The role of smart specialization in less-developed countries. Technological Forecasting and Social Change, 2017, vol. 123, pp. 95–107. https://doi.org/10.1016/j.techfore.2017.06.028

14. Leibenstein H. X-inefficiency Xists: Reply to an Xorcist. The American Economic Review, 1978, vol. 68, no. 1, pp. 203–211.

15. Plerou V., Amaral L. A. N., Gopikrishnan P., Meyer M., Stanley H. E. Similarities between the growth dynamics of university research and of competitive economic activities. Nature, 1999, no. 400(6743), pp. 433–437. https://doi.org/10.1038/22719

16. Sarewitz D., Pielke Jr. R. A. The neglected heart of science policy: reconciling supply of and demand for science. Environmental science & policy, 2007, vol. 10, no. 1, pp. 5–16. https://doi.org/10.1016/j.envsci.2006.10.001

17. Wakeman M. D., Månson J. E. Cost analysis. In Design and manufacture of textile composites. Woodhead Publishing, 2005, pp. 364-404.

18. Zerbe Jr. R. O. Benefit–cost analysis. In Benefit–Cost Analysis. Edward Elgar Publishing Limited, 2008.

19. Zhylinska O., Sitnicki M., Vikulova A. Systematic assessment of the innovative potential of a research university. Baltic Journal of Economic Studies, 2019, vol. 5 (2), рр. 38–44.