Economic and Mathematical Model of the Development of the Digital Ecosystem of the Regional Economy (Using the Example of the Kursk Region)
https://doi.org/10.21869/2223-1552-2023-13-6-267-276
Abstract
Relevance. To form a system of measures for the digitalization of individual regions and the country as a whole, as well as for their effective implementation, it is necessary to develop an economic and mathematical model that allows assessing the current state of the digital ecosystem of the regional economy (DEED).
The purpose is development and testing of an economic and mathematical model for the development of the digital ecosystem of the regional economy (using the example of the Kursk region).
Objective: systematization of factors and indicators by categories characterizing the development of the digital ecosystem of the regional economy; calculation of indicators for each set of "Factor ‒ Indicator" for the Kursk region for the period from 2016 to 2021; conducting correlation and regression analysis for the categories "Science", "Innovation", "Human Resources", "Education", "Healthcare", "Households", "Business", "Regional Authorities".
Methodology. The methodological basis of the study was: the method of statistical processing of information; methods of regression and correlation analysis.
Results: factors and indicators are systematized into categories that characterize the development of the digital ecosystem of the regional economy; indicators were calculated for each set of "Factor ‒ Indicator" for the Kursk region for the period from 2016 to 2021; a correlation and regression analysis was carried out for the categories "Science", "Innovation", "Human Resources", "Education", "Healthcare", "Households", "Business", "Regional Authorities".
Conclusions. Practical testing of the developed economic and mathematical model using the example of the Kursk region for some processes gave ambiguous results: a low value of the coefficient of determination, as well as non-compliance with the normative values of the Fisher f-criterion, t-criteria for the factor and the free term, which does not means the economic and mathematical model we have developed is incorrect. These results can be explained by the fact that in the region the processes under study, expressed in a certain relationship between the factor and the indicator, are at the initial stage of their formation or have not been formed. The developed economic and mathematical model for the development of the digital ecosystem of the regional economy allows us to assess the current state of the DEER, identify factors that constrain and stimulate its development, determine areas requiring financing, as well as the expected effect of the resources spent.
Keywords
About the Author
A. O. BabichevRussian Federation
Aleksej O. Babichev, Post-Graduate Student
Department of Economics, Management and Audit
305040
50 Let Oktyabrya Str. 94
Kursk
References
1. Yusupova A. T., Khalimova S. R. Vysokotekhnologichnyi biznes v regionakh Rossii: rol' v ekonomike, differentsiatsiya i osnovnye determinanty razvitiya [High-tech business in the regions of Russia: role in the economy, differentiation and main determinants of development]. Vestnik Sankt-Peterburgskogo universiteta. Menedzhment = Bulletin of St. Petersburg University. Management, 2020, vol. 19, no. 1, pp. 67‒96. doi: 10.21638/11701/spbu08.2020.103
2. Chernova O. A., Mikhailova E. L. Zatraty na NIOKR kak faktor razvitiya potentsiala kapitalizatsii vysokotekhnologichnykh kompanii [R&D costs as a factor in developing the capitalization potential of high-tech companies]. Azimuth of Scientific: Economics and Administration, 2019, vol. 8, no. 1 (26), pp. 226‒228.
3. Barinova V. A., Zemtsov S. P., Lanshina T. A. Razvitie vysokotekhnologichnogo sektora ekonomiki [Development of the high-tech sector of the economy]. Moscow, RANEPA Publ., 2018. 55 p.
4. Golovko M. V., Tsuverkalova O. F., Ryabtsun V. V. Opredelenie faktorov innovatsionnogo razvitiya regional'nykh promyshlennykh kompleksov [Determination of factors of innovative development of regional industrial complexes]. Regional'naya ekonomika: teoriya i praktika = Regional Economics: Theory and Practice, 2017, vol. 15, is. 3, pp. 579‒591.
5. Dvas G. V. Tsifrovizatsiya v regional'noi ekonomike (statisticheskie aspekty) [Digitalization in the regional economy (statistical aspects)]. Available at: https://rosstat.gov.ru/publish/conf0918/dvas.pdf (accessed 10. 09. 2023)
6. Lukyanova A. L. Tsifrovizatsiya i gendernyi razryv v oplate truda [Digitalization and the gender pay gap]. Ekonomicheskaya politika = Economic Policy, 2021, vol. 16, no. 2, pp. 88‒117.
7. Balog M. M., Demidova S. E., Troyan V. V. Vliyanie tsifrovizatsii ekonomiki na rynok truda [The impact of digitalization of the economy on the labor market]. Etap: ekonomicheskaya teoriya, analiz, praktika = Stage: Economic Theory, Analysis, Practice, 2021, no. 5, pp. 60‒74.
8. Vaskina M. G., Litvinova D. V. Tsifrovizatsiya biznesa, rynka truda i zarabotnoi platy [Digitalization of business, labor market and wages]. Mezhdunarodnyi zhurnal ekonomiki i obrazovaniya = International Journal of Economics and Education, 2020, no. 2, pp. 43‒48.
9. Tagarov B. Zh. Vliyanie tsifrovoi ekonomiki na zanyatost' naseleniya v usloviyakh ekonomicheskogo neravenstva mezhdu territoriyami [The influence of the digital economy on employment in conditions of economic inequality between territories]. Izvestiya Baikal'skogo gosudarstvennogo universiteta = Proceedings of the Baikal State University, 2019, vol. 29, no. 3, pp. 388‒395.
10. Federal'naya sluzhba gosudarstvennoi statistiki [Federal State Statistics Service]. Available at: https://rosstat.gov.ru/. (accessed 10. 09. 2023)
11. Bessonova E. A. Babichev A. O. Metodicheskie osnovy otsenki formirovaniya effektivnoi tsifrovoi ekosistemy ekonomiki regiona (na primere regionov TsFO) [Methodological basis for assessing the formation of an effective digital ecosystem of the regional economy (using the example of the regions of the Central Federal District)]. Izvestiya Yugo-Zapadnogo gosudarstvennogo universiteta. Seriya: Ekonomika. Sotsiologiya. Menedzhment = Proceedings of the Southwest State University. Series: Economics, Sociology and Management, 2023, no. 4, pp. 74‒89.
12. Babichev A. O. Perspektivy regional'nogo ekonomicheskogo razvitiya v usloviyakh tsifrovizatsii [Prospects for regional economic development in the context of digitalization]. Izvestiya Yugo-Zapadnogo gosudarstvennogo universiteta. Seriya: Ekonomika. Sotsiologiya. Menedzhment = Proceedings of the Southwest State University. Series: Economics, Sociology and Management, 2022, no. 4, pp. 281‒294.
13. Kartaev F. Vvedenie v ekonometriku [Introduction to econometrics]. Moscow, Faculty of Economics of Moscow State University named after M. V. Lomonosov, 2019. 472 p.
14. Komarova E. S. Parnyi regressionnyi analiz [Paired regression analysis]. Moscow, Directedia Publ., 2019. 90 p.
15. Lyubimtsev O. V., Lyubimtseva O. L. Lineinye regressionnye modeli v ekonometrike [Linear regression models in econometrics]. N. Novgorod, Nizhny Novgorod State University of Architecture and Civil Engineering Publ., 2016. 45 p.
16. Maksimova T. G., Popova I. N. Ekonometrika [Econometrics]. St. Petersburg, ITMO University Publ., 2018. 70 p.
17. Kotenko A. P., Kuznetsova O. A. Ekonometrika. Parnaya regressiya [Econometrics. Paired regression]. Samara, Samara University Publishing House, 2016. 48 p.
18. Khairullina O. I., Bayanova O. V. Ekonometrika: bazovyi kurs [Econometrics: basic course]. Perm, Prokrost Publ., 2019. 176 p.
19. Galochkin V. T. Ekonometrika [Econometrics]. Moscow, Yurayt Publ., 2021. 288 p.
20. Kurskaya oblast' i "Tsifrovaya ekonomika" podpisali soglashenie o vnedrenii "tsifry" v regione [Kursk region and Digital Economy signed an agreement on the introduction of digital technology in the region]. Available at: https://www.cnews.ru/news/line/2020-10-28_kurskaya_oblast_i_tsifrovaya?ysclid=lm3ubutmx694781500 (accessed 10. 09. 2023)
Review
For citations:
Babichev A.O. Economic and Mathematical Model of the Development of the Digital Ecosystem of the Regional Economy (Using the Example of the Kursk Region). Proceedings of the Southwest State University. Series: Economics. Sociology. Management. 2023;13(6):267-276. (In Russ.) https://doi.org/10.21869/2223-1552-2023-13-6-267-276