Expert assessment of opportunities for innovative transformation in a region where mining is the predominant industry

DOI: https://doi.org/10.30686/1609-9192-2023-4-124-129
Читать на русскоя языкеKh.B. Badarchi , G.F. Balakina
Tuvinian Institute for Exploration of Natural Resources of Siberian Branch of RAS, Kyzyl, Russian Federation
Russian Mining Industry №4 / 2023 р. 124-129

Abstract: The purpose of the study is to identify the main characteristics of innovation processes in a region where products of the mining sector prevail in the gross product structure, as well as to identify the factors contributing to implementation of innovations and the relationship between the innovation processes and the social and cultural context of the regional development. With the aim of assessing the opportunities for introducing technical innovations in the working practice, the authors conducted an expert survey in June–July 2023 in which top managers and specialists of the leading mining enterprises, business associations and authorities of the region acted as experts. Recommendations for improving innovation practices have been developed based on generalization of the survey data as part of the statistical analysis of general regularities in dynamics of the innovation processes in economies of the developed countries and the Russian Federation. A conclusion is made about the need to develop a state policy to support innovation by strengthening co-operation between mining companies and mediumsized businesses in the region.

Keywords: innovation processes, region, Tyva Republic, mining enterprises, diffusion of innovations, sociocultural realities

Acknowledgments: The article was carried as part of research work under Project No.23-28-10009 “Socially successful and unsuccessful adaptation practices of ethno-regional communities in the context of large-scale innovative changes (using the example of the Republic of Tuva)” of the Russian Science Foundation.

For citation: Badarchi Kh.B., Balakina G.F. Expert assessment of opportunities for innovative transformation in a region where mining is the predominant industry. Russian Mining Industry. 2023;(4):124–129. https://doi.org/10.30686/1609-9192-2023-4-124-129


Article info

Received: 25.06.2023

Revised: 19.07.2023

Accepted: 19.07.2023


Information about the authors

Kherel B. Badarchi – Cand. Sci. (Econ.), Ass. Prof., Tuvinian Institute for Exploration of Natural Resources of Siberian Branch of RAS, Kyzyl, Russian Federation; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Galina F. Balakina – Dr. Sci. (Econ.), Tuvinian Institute for Exploration of Natural Resources of Siberian Branch of RAS, Kyzyl, Russian Federation


References

1. Badarchi Kh.B. Analysis of scientific and technological development strategy of Russia in the aspect of certain provisions of the general systems research. Economy and Business: Theory and Practice. 2018;(12-1):37–41. (In Russ.) https://doi.org/10.24411/2411-0450-2018-10212

2. Balakina G.F., Badarchi Kh.B. Correlation analysis of modernization indicators and economic growth of Russian regions. Journal of Economy and Entrepreneurship. 2018;(10):509–514. (In Russ.)

3. Huber F., Wainwright T., Rentocchini F. Open data for open innovation: managing absorptive capacity in SMEs. R&D Management. 2020;50(1):31–46. https://doi.org/10.1111/radm.12347

4. Dezhina I.G., Medovnikov D.S., Rozmirovich S.D. State Support of Small Innovative Companies by The Fund for Assistance to Innovations. Sotsiologicheskie Issledovaniya. 2019;(11):110–119. (In Russ.) https://doi.org/10.31857/S013216250007447-4

5. Myakshin V.N., Petrov V.N., Pesyakova T.N. Management of Investment Processes in the Regions of the Russian Federation on the Basis of a Balanced System of Indicators. Finance: Theory and Practice. 2023;27(2):38–49. https://doi.org/10.26794/2587-5671-2023-27-2-38-49

6. Afriyie S., Du J., Ibn Musah A.A. Innovation and marketing performance of SME in an emerging economy: the moderating effect of transformational leadership. Journal of Global Entrepreneurship Research. 2019;9(1):40. https://doi.org/10.1186/s40497-019-0165-3

7. Orlov A.I. Applied statistical analysis. Moscow: Ai Pi Ar Media; 2022. 812 p. (In Russ.)

8. Yn A., Su K. Theoretical minimum for Big Data. Everything you need to know about big data. St. Petersburg: Piter; 2019. 208 p. (In Russ.)

9. Konishcheva D.V. Criteria for defining small and mediumsized businesses in Russia and abroad. Young Scientist. 2018;(9):83–86. (In Russ.) Available at: https://moluch.ru/archive/195/48619/

10. Villa A., Taurino T. SME innovation and development in the context of industry 4.0. Procedia Manufacturing. 2019;39:1415–1420. https://doi.org/10.1016/j.promfg.2020.01.311

11. Christensen С., Ojomo Е., Dillon K. The prosperity paradox: How innovation can lift nations out of poverty. New York: HarperBusiness; 2019. 331 p.

12. Anayban Z.V., Balakina G.F. Social Expectations and Value Orientations of Students in Tuva. Sotsiologicheskie Issledovaniya. 2022;(2):151–156. (In Russ.) https://doi.org/10.31857/S013216250018548-5