Data Classification Technologies in Assessing the Level of Sustainable Development of Territories
https://doi.org/10.34023/2313-6383-2023-30-5-11-27
Abstract
Achievement of sustainable development goals is one of the urgent tasks both for an individual country and for its territory. The aim of the study is to develop a statistical methodology for monitoring and comprehensive assessment of sustainable development of the territory. The authors used open data of Rosstat and UN data as the information base of the study. Approbation of the proposed monitoring system was carried out on the object, including territories of different hierarchy levels: countries of the world, federal districts and regions of the Russian Federation.
The methodology is presented in the form of an algorithm containing the following stages of research: selection of the object of observation, formation of a system of indicators of sustainable development of the territory, assessment of the level of sustainable development of the territory and complex analysis on its basis (calculation of the integral indicator, typology of territories, factor analysis, dynamics and forecasting, identification of new objects of observation by type of sustainable development) and development of recommendations to improve the level of sustainable development of a particular territory. The integral indicator of sustainable development of the territory is defined as the average value of indices for the three spheres of sustainability (social, economic, environmental). The authors propose to calculate the indices using the technology of multidimensional average for an array of indicators characterising a separate sphere of sustainable development of the territory.
The paper calculates indices for the spheres of sustainable development and an integral indicator for 2010, 2015 and 2020. As part of the analysis, a typology of the world countries (2010, 2015 and 2020) and territories of the Russian Federation (2011, 2016 and 2021) by the level of sustainable development was carried out; a neural network and discriminant function for the identification of new objects of observation by the type of sustainable development were constructed; a modified matrix of portfolio analysis of the subjects of the Russian Federation for 2021 was performed as part of the typology. Conclusions and proposals regarding the development strategies of the considered territorial entities are made.
Keywords
About the Authors
V. V. GlinskiyRussian Federation
Vladimir V. Glinskiy – Dr. Sci. (Econ.), Professor; Professor, Department of Statistics; Head, Research Laboratory «Sustainable Development of Social and Economic Systems»
56, Kamenskaya Str., Novosibirsk, 630099
6, Nizhegorodskaya Str., Novosibirsk, 630102
A. A. Grishakova
Russian Federation
Alina A. Grishakova – Master's Degree in Economics, Analyst
6, Projected Passage No. 4062,Bldg. 2, Moscow, 115432
L. K. Serga
Russian Federation
Lyudmila K. Serga – Cand. Sci. (Econ.), Associate Professor; Associate Professor, Department of Statistics; Head, Department of Business Analytics and Statistics
56, Kamenskaya Str., Novosibirsk, 630099
6, Nizhegorodskaya Str., Novosibirsk, 630102
References
1. Meadows D.H., Randers J., Meadows D.L. Beyond the Limits. Post Mills, Vermont: Chelsea Green Publishing; 1992. (Russ. ed.: Medouz D.Kh., Medouz D.L., RandersI.; Yagodin G.A. (ed.) Za predelami rosta: ucheb. posobie. Moscow: Progress Publ., Pangeya Publ.; 1994. 304 p.)
2. Forrester J.W. World Dynamics. Wright-Allen Press; 1971. (Russ. ed.: Forrester Dzh. Mirovaya dinamika. Moscow: AST Publ.; 2003. 379 p.)
3. Solow R.M. Intergenerational Equity and Exhaustible Resources. Review of Economic Studies. 1974;41(5):29–45.
4. Tietenberg T. Environmental and Natural Resource Economics. 4th ed. New York: Harper Collins College Publishers; 1996. 688 р.
5. Abalkin L.I. A New Type of Economic Thinking. Moscow: Ekonomika Publ.; 1987. 189 p. (In Russ.)
6. Ayvazyan S.A. Cross-Country Analysis of Integral Categories of the Quality of Life of the Population (Econometric Approach). WP/2001/124 [Preprint]. Moscow: CEMI RAS; 2001. 175 p. (In Russ.)
7. Bobylev S.N. Indicators of Sustainable Development: Regional Dimension. Moscow: Acropolis, CPER; 2007. 60 p. (In Russ.)
8. Borisov V.N., Pochukaeva O.V. Green Growth of Industrial Regions of Russia Factors and Results. Vestnik NSUEM. 2020;(2):10–24. (In Russ.) Available from: https://doi.org/10.34020/2073-6495-2020-2-010-024.
9. Danilov-Danilyan V.I. Sustainable Development (Theoretical and Methodological Analysis). Economics and Mathematical Methods. 2003;39(2):123–135. (In Russ.)
10. Minakov V.F. Information Processes in the Formation of Hype Cycles. Territory Development. 2021;2(24):76–82. (In Russ.) Available from: https://doi.org/10.32324/2412-8945-2021-2-76-82.
11. Ursul A.D., Ursul T.A. Global Studies and the Concept of Sustainable Development. Age of Globalization. 2020;(2):3–17. (In Russ.)
12. Glinskiy V. et al. The Assessment Methods of the Level of Countries Environmental Safety. Procedia Manufacturing. 15. Ser. «15th Global Conference on Sustainable Manufacturing, GCSM 2017». 2018:21;494–501. Available from: https://doi.org/10.1016/j.promfg.2018.02.149.
13. Gurieva M.A., Rudneva L.N. Assessment of Sustainable Development of the Region Through Indicative of Assessment Level Greening the Economy. Bulletin of UrFU. Series Economics and Management. 2013;(3): 104–116. (In Russ.)
14. Zenkina E.V. Modern Approaches to the Countries Sustainable Development. RSUH/RGGU Bulletin. Series Economics. Management. Law. 2021;(2):111–125. (In Russ.) Available from: https://doi.org/10.28995/2073-6304-2021.
15. Kolomak E.A., Sumskaya T.V. Analysis of Sub-Federal Budget Sufficiency and Inter-Budget Transfers: Methods and Results. Vestnik NSUEM. 2018;(4):10–28. (In Russ.)
16. Kuvalin D.B. et al. The Economy of Kazakhstan: The Results of a Difficult Thirty Years. Territory Development. 2022;1(27):22–32. (In Russ.) Available from: https://doi.org/10.32324/2412-8945-2022-1-22-32.
17. Rozhkova A.Yu. Sustainable Development of the Region as a Subject of Research. Vestnik Taganrogskogo Instituta Upravleniya i Ekonomiki = Bulletin of Taganrog Institute of Management and Economics. 2011;(1):11–15. (In Russ.)
18. Uskova T.V. Territories’ Sustainable Development and Modern Management Methods. Problems of Territory's Development. 2020;2(106):7–18. (In Russ.) Available from: https://doi.org/10.15838/ptd.2020.2.106.1.
19. Khamidullin F.F., Miftakhova M.E. Rate of Stability of the Regional Socioeconomic System on the Basis of Wavelet Analysis. Scientific Tatarstan. 2010;(1):194–199. (In Russ.)
20. Shedko Y.N. The System of Indicators and Monitoring of the Sustainable Development of the Region. Moscow Witte University Bulletin. Series 1: Economics and Management. 2016;3(18):20–26. Available from: https://doi.org/10.21777/2307-6135-2016-3-20-26.
21. Serga L.K., Grishakova A.A. On the Evaluation of the Region’s Sustainable Development. Economics of Russian East. 2022;01(14):13–22. (In Russ.) Available from: https://doi.org/10.25801/SRC.2022.74.41.002.
22. Glinskiy V.V. et al. Fuzzy Neural Networks in theAssessment of Environmental Safety. Voprosy Statistiki. 2015;(12):61–68. (In Russ.)
23. Glinskiy V.V. et al. On Estimating Threshold Values in Solving the Problem of Data Classification. Voprosy Statistiki. 2014;(12):30–36. (In Russ.)
Review
For citations:
Glinskiy V.V., Grishakova A.A., Serga L.K. Data Classification Technologies in Assessing the Level of Sustainable Development of Territories. Voprosy statistiki. 2023;30(5):11-27. (In Russ.) https://doi.org/10.34023/2313-6383-2023-30-5-11-27