Estimation of modernization potential of Russian federal districts
Abstract
The article discusses the resource potential of Russian federal districts involved in processes of modernization. The theoretical framework draws from Russian and international studies of economic potential, stability and efficiency in regional development and regional imbalances. Methodologically, the research relies on a series of relative indicators of innovation, which can be used to measure federal districts' modernization potential by applying methods of mathematical statistics. The proposed set of criteria allows us to take into consideration both the current situation and the dynamics of innovation development in Russian regions. The selected indicators characterize the returns from innovation investment in socio-economic systems, the degree of regional differentiation within districts and trends of regional development regarding the efficiency of innovation processes. The proposed approach can be used to measure the efficiency of human capital use.
To test the above-described methodology, we decided to focus on the Central Federal District, which has a significant resource potential necessary to meet the demands of intensive modernization. Statistical comparison of the actual and limit values has revealed significant underused resources in this district. These resources can be accessed by stimulating the lagging regions.
The described methods and results of this study can be used by research organizations, higher education institutions, regional authorities and policy-makers in the process of preparation, adjustment and monitoring of strategic programs of socio-economic development.
Keywords
Full Text:
PDFReferences
Lenchuk, E. B. (2016). National technological initiative as strategic vector of industrial policy of Russia. Problemy teorii i praktiki upravleniya = Theoretical and Practical Aspects of Management, 2, 8–19. (In Russ.)
Gadzhiyev, Yu. A., Styrov, M. M., Kolechkov, D. V., & Shlyakhtina, N. V. (2016). Analysis of innovation potential of Northern Russian regions. Ekonomicheskie i social’nye peremeny: fakty, tendencii, prognoz = Economic and Social Changes: Facts, Trends, Forecast, 6, 236–254. (In Russ.)
Loseva, O. V., Abdikeev, N. M., & Didenko, A. S. (2018). Ranking and clustering of regions by level of efficiency of scientific and innovative activity. Nauchny`e trudy` VE`O Rossii = Scientific Works of the Free Economic Society of Russia, 3, 146–161. (In Russ.)
Kasa, R. (2015). Approximating innovation potential with neurofuzzy robust model. Investigaciones Europeas de Dirección y Economía de la Empresa, 21, 35–46.
Kurchenkov, V. V. (2013). Innovative activity of the enterprises in the conditions of the global competition. Innovacii = Innovations, 5, 60−64. (In Russ.)
Foster, K. A. (2007). A Case Study Approach to Understanding Regional Resilience. Working Paper, Institute of Urban and Regional Development, University of California, Berkeley, 2007-08. Retrieved from: https://iurd.berkeley.edu/wp/2007-08.pdf
Hill, E. W., Wial, H., & Wolman, H. (2008). Exploring Regional Economic Resilience. Working Paper, Institute of Urban and Regional Development, University of California, Berkeley, 2008-04. Retrieved from: https://www.econstor.eu/bitstream/10419/59420/1/592859940.pdf
Gili, L., & Kharas, H. (2007). An East Asian Renaissance: Ideas for Economic Growth. World Bank Publications, Washington DC. Retrieved from: http://documents.worldbank.org/curated/ en/517971468025502862/pdf/399860REPLACEM1601OFFICAL0USE0ONLY1.pdf
Klimanov, V. V., Kazakova, S. M., & Mikhaylova, A. A. (2018). Regional resilience: theoretical bases of formulation of the question. Ekonomicheskaya politika = Economic policy, 6, 164–187. (In Russ.)
Krugman, P. (1991). Increasing Returns and Economic Geography. Journal of Political Eco- nomy, 3, 483–499.
Gubanova, E. S., & Kleshch, V. C. (2017). Methodological aspects in analyzing the level of non-uniformity of socioeconomic development of regions]. Ekonomicheskie i social’nye peremeny: fakty, tendencii, prognoz = Economic and Social Changes: Facts, Trends, Forecast, 1, 58–75. (In Russ.)
Leksin, V. N. (2012). Crisis of a system of resettlement in the context of cardinal transformation of the territorial organization of the Russian society. Rossijskij ekonomicheskij zhurnal = The Russian economic magazine, 1, 3–44. (In Russ.)
Kolomak, E. A. (2013). Uneven spatial development in Russia: explanations of new economic geography. Voprosy Ekonomiki = Economy questions, 2, 132–150. (In Russ.)
Bakhtizin, A. R., Bukhvald, E. M., & Kolchugina, A. V. (2016). Alignment of regions of Russia: illusions of the program and reality of economy. Vestnik Instituta ekonomiki Rossijskoj akademii nauk = Bulletin of Institute of economy of the Russian Academy of Sciences, 1, 76–91. (In Russ.)
Donichev, O. A., Mishchenko, Z. V., & Fraymovich, D. Yu. (2011). The system of economic-mathematical indicators in assessment of modernization capacity of regions of the federal district. Finansovaya analitika: problemy i resheniya = Financial Analytics: Science and Experience, 44, 42–49. (In Russ.)
Mishchenko, Z. V., Fraymovich, D. Yu., & Gundorova, M.A. (2014). Program for calculation and modeling of a system of economic-mathematical indicators of innovative functioning of regions of the Russian Federation. Copyright certificate. 2014619133 Russian Federation, No. 2014616859/69. (In Russ.)
DOI: https://doi.org/10.15826/recon.2019.5.4.018
Copyright (c) 2019 Denis Yu. Fraymovich, Marina A. Gundorova, Zorislav V. Mischenko, Svetlana I. Totmyanina, Aksanat Zh. Panzabekova
Сertificate of registration media Эл № ФС77-80764 от 28.04.2021
Online ISSN 2412-0731