Polarization of homogeneous groups of territorial entities
https://doi.org/10.26425/2309-3633-2020-8-4-5-14
Abstract
The aim of the study is to assess the polarity and polarization of the economic development of territories by homogeneous groups. The object of the study is the economic space of the Republic of Bashkortostan. The subject of the research is the essence of polarity, polarization and leveling in the socio-economic development of territorial entities. The research methods are comparative, logical, statistical analysis, the analysis of structure and dynamics, graphical interpretation of the results.
The author proposes an original method for assessing the polarity and polarization of the spatial development of the region. The method was tested on the example of municipalities of the Republic of Bashkortostan. The paper presents a graphical model of polarization and leveling of polarization by typological homogeneous groups of municipalities. Homogeneous groups are characterized by the presence of a significant relationship between indicators of macroeconomic dynamics, the content of internal structural interactions and dynamic changes in spatial structure. According to the types of polarization the author presents strategies for advancing and catching up development, strategies for equalizing with stagnation, the formation of a gap. The article shows optimal leveling limits.
The author draws a conclusion, that among municipal districts of the same typological group, gaps are formed and further polarization occurs. The paper detects that, despite the difference between homogeneous groups of municipalities on the socio-economic level, the processes of polarization are similar for each indicator. The study concludes about a unified system of management policy in the region for all municipalities.
Keywords
development strategy,
leveling,
municipalities,
polarization,
polarization graphs,
Republic of Bashkortostan,
scorecard,
spatial development
Supporting agencies: Financial support for the study: this study was carried out within the framework of state assignment No. 007-00256-18-01 ISER UFRC RAS for 2020.
About the Author
S. Sh. Aslaeva
Institute of Social and Economic Researches, Ufa Federal Research Center of the Russian Academy of Sciences
Russian Federation
Russian Federation
Salima Sh. Aslaeva - Cand. Sci. (Econ.), Senior Researcher
71, Prospekt Oktyabrya, Ufa, 450054 Republic of Bashkortostan
References
1. Aksyanova А.В. (2010), Modeling and analysis of structural dynamics of regional economic systems, Kazan KGTU, 2010. (In Russ.).
2. Anderson G. (2004), “Toward an empirical analysis of polarization”, Journal of Econometrics, vol. 122, no. 1, pp. 1–26. DOI: 10.1016/j.jeconom.2003.10.017.
3. Aslaeva S.Sh. (2016), “Consideration of typologization of the structure of the economic space of the Republic of Bashkortostan when making managerial decisions”, Management Issues, 2016, no. 5 (42), pp. 62–69. (In Russ.).
4. Chernova T.V. (2015), “Statistical characteristics of differentiation of the economic development of municipalities”, Vestnik of Rostov University of Economics (RINH), 2015, no. 1, pp. 138–143. (In Russ.).
5. Gataullin R.F. and Aslaeva S.Sh. (2017), “Leveling and polarization in the development of the economic space”, Fundamental research, no. 9 (part 1), pp. 164–168. (In Russ.).
6. Kabirova A.S. (2019), “Indicators of the socio-economic development of the region”, Economics and management: problems, solutions, vol. 13, no. 3, pp. 128–132. (In Russ.).
7. Levchenko S.A., Gerasimov A.N. and Gromov E.I. (2012), Regional features of the development of spatial socio-economic systems: monograph, Stavropol, AGRUS. (In Russ.).
8. Perroux F. (1968), “Multinational investments and analysis of development poles and integration poles” [“Les investissements multinationaux et l’analyse des poles de developpementet des poles dintegration”], Third World Review [Revue Tiers-Monde], vol. 9, no. 34, pp. 239–265. DOI: 10.1111/j1467-8330.1974.tb00600.x.
9. Rakica G., Milenković D., Vujović S. and Vujović T. (2019), “Information system for e-GDP based on computational intelligence approach”, Physica A: Statistical Mechanics and its Applications, no. 513, pp. 418–423. DOI: 10.1016/j.physa.2018.09.010.
10. Sadykov R.M. and Migunova Yu.V. (2016), “Threats on the regional labor market and employment problems”, Regional Economics: Theory and Practice, no. 3 (426), pp. 156–168. (In Russ.).
11. Schmidt Yu.D. and Denisenko V.A. (2008), “Differentiation and regulation of the socio-economic development of municipalities in the region”, The Bulletin of the Far Eastern Federal University. Economics and Management, no. 3, pp. 3–14. (In Russ.).
12. Sukharev O.S. (2013), “Adequacy of the strategy of the rapid development of the Russian economy in global changes”, Economic Analysis: Theory and Practice, no. 47 (350), pp. 2–15. (In Russ.).
13. Taran O.L. (2007), An indicative assessment of the socio-economic status and development of a regional economy: monograph, Kislovodsk, T'utir. (In Russ.).
14. Vanchikova E.N. and Korytova E.V. (2011), “Assessment of the spatial differentiation of the region's municipalities by the level of socio-economic development”, Proceedings of Southwestern State University. Series.: Economics. Sociology. Management, no. 1, pp. 41–47. (In Russ.).
15. Zou C., Xiangjun O. and Juntao T. (2019), “Temporal and spatial characteristics and early warning analysis of economic polarization evolution: a case study of Jiangsu province in China”, Sustainability, vol. 11, no. 5, 1339, 14 p. DOI: 10.3390/su11051339.
Review
For citations:
Aslaeva S.Sh. Polarization of homogeneous groups of territorial entities. UPRAVLENIE / MANAGEMENT (Russia). 2020;8(4):5-14. (In Russ.) https://doi.org/10.26425/2309-3633-2020-8-4-5-14
Views:
628
Email this article 