Assessment of Risks and Threats of "Green" Entrepreneurship based on Cross-Factor Modeling
https://doi.org/10.18184/2079-4665.2021.12.4.384-399
Abstract
The article is a continuation of a number of scientifc studies conducted by the authors within the framework of government assignments and grants, dedicated to identifying the relationship between the economic security of territories and the development of "green" entrepreneurship on them.
Purpose: of the study is to model the assessment of the state of economic security of territories under various conditions of the transition to "green" entrepreneurship, taking into account the action of external and internal factors. "Green" entrepreneurship is a priority area for the development of Russian regions, consistent with the achievement of Russia's national strategic goals for the period up to 2030.
Methods: in this work, cross-factor modeling and the method of integral analysis are used to calculate the composite index of the state of economic security and its structural components, taking into account the development of "green" entrepreneurship, supplemented by the method of a priori ranking of factors to assess the contribution of each component and justify the priority the selected factors affecting the level of economic security of the regions.
Results: a three-component cross-factor model for assessing the state of economic security in certain regions of the Russian Federation (Moscow Region, Leningrad Region, Sverdlovsk Region, Novosibirsk Region, Altai Territory, Krasnodar Territory) had been calculated and tested. The regions were ranked according to the value of each of the components, as well as separately according to the aggregate level of economic security. The necessity of stimulating the development of "green" entrepreneurship in each of the analyzed regions. Have been substantiated and stimulating and discouraging factors that have an impact on the level of economic security, taking into account "green" entrepreneurship, pointwise in each subject, have been identifed.
Conclusions and Relevance: the proposed approach to assessing the impact of the identifed factors on the level of economic security of the regions, taking into account the development of "green" entrepreneurship on the basis of the developed cross-factor model, made it possible to build a rating of territories and identify stimulating and discouraging factors in their development. On the basis of which to determine the tools for influencing the economic security in a separate entity.
Keywords
About the Authors
O. V. KozhevinаRussian Federation
Olga V. Kozhevinа, Faculty of Engineering Business and Management, Doctor of Economics Sciences, Professor
5, building 3, 2nd Baumanskaya street, Moscow, 105005
L. A. Belyaevskaya-Plotnik
Russian Federation
lubov A. Belyaevskaya-Plotnik, Center for Innovative Economics and Industrial Policy, Candidate of Economic Sciences, Assistant Professor, Senior Researcher
32, Nakhimovsky av., Moscow, 117218
References
1. Konstantinov A.V. role and place of anthropogenic climate change in system of providing economic security in economy sectors. Social-Economic Phenomena and Processes = Sotsial'noekonomicheskiye yavleniya i protsessy. 2014; 8:61-66. (In Russ.)
2. Porfiryev B.N., Kattsov V.M., Roginko S.A. Climate change and international security. Moscow, RAS, Department of Social Sciences; 2011. 291 p. (In Russ.)
3. Antonova N.E., Lomakina N.V. The Model of a «Green» Economy and Its Implementation in Resource Regions. Regionalistica = Regionalistics. 2019; 6(5):31-49. https://doi.org/10.14530/reg.2019.5.31. (In Russ.)
4. Shchuplova I.S., Rybin D.V. Climate change as the challenge to energy policy and ensuring energy security. European science. 2018; 6(38):14-18. (In Russ.)
5. Tyotushkin V.A. Analysis of trends in climate policy as part of the economic security of the Russian Federation: The international dimension. Regional Economy: Theory and Practice. 2017; 6(441):1173-1186. https://doi.org/10.24891/re.15.6.1173. (In Russ.)
6. Smirnov V.D. ESG risks management in commercial organizations. Upravlencheskie nauki = Management Sciences in Russia. 2020; 10(3):6-20. DOI: https://doi.org/10.26794/2404-022X-2020-10-3-6-20. (In Russ.)
7. Belik IS, Pryakhin DA Social and ecological component of the sustainable development of region. Economy of region. 2013; 3:142-151. https://doi.org/10.17059/2013-3-12. (In Russ.)
8. Bobylev S.N. Sustainable development for future generations: economic priorities. The world of new economy. 2017; 3:90-96. (In Russ.)
9. Bulgakova Yu.V., Nabok S.D. Interconnection of the concepts “green” economy, "green" growth and sustainable development. International Research Journal. 2017; 5(59):89-91. https://doi.org/10.23670/IRJ.2017.59.091 (In Russ.)
10. Ivanova N.I., Levchenko L.V. "Green" economy: the essence, principles and prospects. Herald of Omsk University. Series "Economics". 2017; 2:19-28. (In Russ.)
11. Lyaskovskaya E.A., Grigorieva K.M. Diagnostics of the regional possibilities of the transition to the model "green economy". Society, Economics, Management = Obshchestvo, ekonomika, upravleniye. 2018; 2: 17-25. (In Russ.)
12. Owen A.B., Wang J. Bi-cross-validation for factor analysis. Statistical Science. 2015; 31(1):119-139. https://doi.org/10.1214/15-STS539. (In Eng.)
13. Henson R.K., Roberts J. K. Use of exploratory factor analysis in published research: Common errors and some comment on improved practice. Educational and Psychological Measurement. 2006; 66(3):393-416. https:// doi.org/10.1177/0013164405282485 (In Eng.)
14. Bandalos D.L., Finney S.J. Factor analysis: Exploratory and confirmatory. In book: G.R. Hancock & R.O. Mueller (еds.). The Reviewer’s Guide to Quantitative Methods in the Social Sciences. Publisher: Routledge, 2019. pp. 98-122. https://doi.org/10.4324/9781315755649-8 (In Eng.)
15. Izquierdo I., Julio Olea J., José F. Abad. Exploratory factor analysis in validation studies: Uses and recommendations. Psicothema. 2014; 26(3):395-400. https://doi.org/10.7334/psicothema2013.349 (In Eng.)
16. Nefedov R.A. Problems of use of factor analysis in the social sciences. Politolog = Polylogos. 2019; 1(3). https://doi.org/10.18254/S258770110005006-8 OrAvailable from: https://polylogos-journal.ru/s258770110005006-8-1/ (accessed 18 October 2021) (In Russ.)
17. Mathematical and instrumental methods in modern economic research: monograph. Gracheva M.V. and Tumanova E.A. (eds.). Moscow, Faculty of Economics, Moscow State University named after M.V. Lomonosov; 2018: 232 p. (In Russ.)
18. Trofimova E.A., Plotnikov S.V., Gilev D.V. Mathematical methods of analysis: monograph. Yekaterinburg: Ural Federal University named after the first President of Russia B. N. Yeltsin; 2015: 272 p. (In Russ.)
19. Hay D. Data Model Patterns: A Metadata Map. Morgan Kaufmann; 2006: 432 p. https://doi.org/10.1016/B978-0-12-088798-9.X5000-1 (In Eng.)
20. Inmon W., Linstedt D. Data Architecture: A Primer for the Data Scientist. Morgan Kaufmann; 2014: 431 p. https://doi.org/10.1016/C2014-0-01420-7 (In Eng.)
21. Palmujoki A., Parikka-Alhola K., Ekroos A. Green Public Procurement: Analysis on the Use of Environmental Criteria in Contracts. Rev. Eur. Community Int. Environ. Law. 2010; 19(2):250-262. https://doi.org/10.1111/j.1467-9388.2010.00681.x (In Eng.)
22. Kalinin AG Data processing by methods of mathematical statistics: monograph. Chita, ZIP SibUPK; 2015: 106 p. (In Russ.)
23. Multivariate statistical analysis in economics / ed. V.N. Tamashevich. Moscow, YUNITI; 1999: 598 p. (In Russ.)
24. Plyuta V. Comparative multivariate analysis in econometric modeling. Moscow, Finance and Statistics; 1989: 174 p. (In Russ.)
25. Klimenko V.V., Tereshin A.G. World Energy and the Climate of the Planet XXI. History and Modernity = Istoriya i sovremennost'. 2008; 2:87-94. (In Russ.)
26. Houghton J. T., Ding Y., Griggs O. I. et al. (Eds.). Climate Change 2001: The Scientific Basis. Contribution of Working Group I to the Third Assessment Report of the Intergovernmental Panel on Climate Change (IPCC). Cambridge: Cambridge University Press; 2001: 881 p. https://doi.org/10.1093/ije/dyg059 (In Eng.)
Review
For citations:
Kozhevinа O.V., Belyaevskaya-Plotnik L.A. Assessment of Risks and Threats of "Green" Entrepreneurship based on Cross-Factor Modeling. MIR (Modernization. Innovation. Research). 2021;12(4):384-399. (In Russ.) https://doi.org/10.18184/2079-4665.2021.12.4.384-399