Tula, Tula, Russian Federation
Russian Federation
The author of the article has formed a three-factor set of indicators for assessing the innovative development of regions. Based on the actual values of indicators for two groups of regions with different characteristics of the innovation process, a discriminant model was formed and a boundary value for its aggregate indicator was obtained. The result of the study was the development of a criterion that makes it easy to characterize the level of innovative development of regions. The author intends to further improve the model by expanding the set of indicators.
innovative development, grouping of regions, coefficient matrix, capital productivity, innovative products and costs
1. Abdraxmanova G.I., Vishnevskij K.O., Goxberg L.M. Indikatory` cifrovoj e`konomiki [Digital Economy Indicators: 2021: Statistical Compilation]. Moscow, NRU HSE Publ., 2021. 380 p. (In Russian). URL: https://www.hse.ru/primarydata/ice2021
2. Goxberg L.M., Ditkovskij K.A., Evnevich E.I. Nauka. Texnologii. Innovacii: 2020: kratkij statisticheskij sbornik [Science. Technology. Innovation: 2020: short statistical compilation]. Moscow, NRU HSE Publ., 2020. 88 p. (In Russian). URL: https://issek.hse.ru/mirror/pubs/share/340117242.pdf
3. Rejting innovacionnogo razvitiya sub``ektov Rossijskoj Federacii. [Rating of innovative development of constituent entities of the Russian Federation. Issue 6]. Moscow, NRU HSE Publ., 2020. (In Russian). URL: https://www.hse.ru/primarydata/rir2019
4. Nauka, innovacii i texnologii: statisticheskij sbornik [Science, innovation and technology: Statistical collection]. Moscow, Rosstat, 2023. (In Russian). URL: https://rosstat.gov.ru/statistics/science
5. Averina T.N., Basovskiy L.E. Vliyanie struktury VRP na kharakter vzaimosvyazi proizvoditelnosti truda v regione s nauchno-tekhnicheskimi i informatsionnymi faktorami razvitiya [The influence of the GRP structure on the nature of the relationship between labor productivity in the region and scientific, technical and information factors of development] Research and Development. Economy. 2021. No. 1. P. 17-20. (In Russian)
6. Regiony` Rossii. Social`no-e`konomicheskie pokazateli. 2019: statisticheskij sbornik [Regions of Russia. Socio-economic indicators. 2019: Statistical collection]. Moscow, Rosstat, 2019. 1204 p. (In Russian). URL: https://rosstat.gov.ru/folder/210/document/13204
7. Kabitova E.V. Razrabotka i primenenie individual`noj modeli diskriminantnogo analiza i determinirovannoj faktornoj modeli ocenki finansovoj ustojchivosti xozyajstvuyushhego sub`ekta [Development and application of an individual discriminant analysis model and a deterministic factor model for assessing the financial stability of a business entity] Economics of Sustainable Development. 2018. No. 4. P. 346-350. (In Russian)