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Analysis of the Irregularity of Regional Development Based on the Asymmetry of the Empirical Distribution of GRP Per Capita of the Russian Federation Regions

https://doi.org/10.21686/2500-3925-2023-5-54-64

Abstract

Purpose of the study. The implementation of the spatial development strategy of the Russian Federation has led to an increase in scientific and practical interest in the research of interregional differences and the assessment of uneven regional development at all levels of the national economic system. The purpose of this study is to verify the conformity (inconformity) of the empirical distribution of per capita Gross Regional Product (GRP) values of the Russian Federation regions with the normal distribution law to substantiate the specifics of the interregional development of the national economy based on the identification of statistical characteristics of the empirical distribution of GRP per capita.

Materials and methods. To achieve this goal, the article developed a methodology for measuring the uneven development of Russian regions by assessing the deviation of the empirical distribution of a sample of per capita GRP data from the normal distribution and determining the degree of asymmetry. The methodological basis was the analytical toolkit of the hypothesis of the normal distribution of the sample set of per capita GRP values for the Russian Federation regions. The article tested the methodology on a statistical sample of data on per capita GRP of the regions of the Russian Federation for 2010-2020; the level of uneven regional development of the economy of the Russian Federation was assessed and the statistical specificity of the revealed uneven development of the regions of the Russian Federation was identified. Identification of statistical outliers in the sample was carried out using the interquartile range method.

Results. During the analysis of the sample, statistical outliers were identified. It has been proven that the distribution of per capita GRP of the regions of the Russian Federation is mostly right skewed handed or positively skewed. The observed right-handed orientation of the empirical distribution demonstrated the asymmetry of the distribution of the Russian Federation regions by per capita GRP. The increase in the irregularity of interregional development in the more advanced subjects of the Russian Federation with the per capita GRP index exceeding the average value for the analyzed sample was justified by statistical calculations and the construction of histograms of the empirical distribution of the per capita GRP of the Russian Federation regions.

Conclusion. During the analyzed period, the stability of the uneven regional development of the Russian economy is observed. The stability of the positive asymmetry of the empirical distribution means that the basis for the divergence of regional development is the stability of the “club of the majority” of the Russian Federation regions, which form the left tail, and the “club of the minority”, which forms the long right tail of the empirical distribution. The approximation of the Pareto wealth distribution is a good approximation of the profile of the uneven distribution of per capita GRP of the regions of the Russian Federation.

About the Authors

E. R. Valeev
Kazan (Volga Region) Federal University
Russian Federation

Emil R.Valeev - Cand. Sci. (Economics), Associate professor, Associate professor of the Department of human resources management, 

Kazan.



I. A. Kirshin
Kazan (Volga Region) Federal University
Russian Federation

Igor A. Kirshin - Dr Sci. (Economics), professor of the Higher School of Business,

Kazan.



A. M. Kuznetsova
Kazan (Volga Region) Federal University
Russian Federation

Alsu M. Kuznetsova - Cand. Sci. (Sociology), Senior Lecturer of the Department of human resources management, 

Kazan.



References

1. Karlovich O. Mnogopolyarnost’ formiruyetsya v real’nom mire = Multipolarity is being formed in the real world [Internet]. Available from: https://interaffairs.ru/jauthor/material/2379. (In Russ.)

2. Williamson Jeffrey G. Regional Inequality and the Process of National Development: A Description of the Patterns. Economic Development and Cultural Change. 1965; 13; 4: 1-84.

3. Uneven Regional Development [Internet]. Available from: https://onlinelibrary.wiley.com/doi/full/10.1002/9781118786352.wbieg0721.

4. List John A., Zhou Haiwen. Internal increasing returns to scale and Economic Growyh [Internet]. Nber technical working paper series. Technical working paper 336. National bureau of economic research. March 2007. Available from: https://www.nber.org/system/files/working_papers/t0336/t0336.pdf.

5. Bond-Smith Steven. The unintended consequences of increasing returns to scale in geographical economics. [Internet]. Available from: https://www.researchgate.net/publication/337705845.

6. Proost S., J-F. Thisse. What can be learned from spatial economics? Journal of Economic Literature 2019; 57(3): 575–643.

7. Barro R.J., X. Sala-i-Martin. Economic growth and convergence across the United States. NBER working paper 3419. Cambridge: National Bureau of Economic Research; 2019.

8. Quah Danny T. Galton’s Fallacy and the Convergence Hypothesis. Scandinavian Journal of Economics. 1993; 95: 427–43.

9. Regiony Rossii. Sotsial’no-ekonomicheskiye pokazateli. 2022: R32 Statisticheskiy sbornik = Regions of Russia. Socio-economic indicators. 2022: P32 Statistical collection. Moscow: Rosstat; 2022. 1122 p. P. 462-463. (In Russ.)

10. Valovoy regional’nyy produkt na dushu naseleniya po sub”yektam Rossiyskoy Federatsii v 1998-2015gg = Gross regional product per capita by constituent entities of the Russian Federation in 1998-2015. [Internet]. Available from: https://rosstat.gov.ru/search?q=%D0%92%D0%A0%D0%9F+%D0%BF%D0%BE%D0%B4%D1%83%D1%88%D0%B5%D0%B2%D0%BE%D0%B9. (In Russ.)

11. Solonin S.I. Metod gistogramm = Histogram method. Ekaterinburg: Ural Federal University Publishing House; 2014. 38 p. (In Russ.)

12. Darmanyan A.P. Statistical features of calculation and graphical presentation of macroeconomic indicators of the standard of living of the population of the Russian Federation [Internet]. Sovremennyye problemy nauki i obrazovaniya = Modern problems of science and education. 2013: 1. Available from: https://science-education.ru/ru/article/view?id=8573. (In Russ.)

13. How to Find Outliers. 4 Ways with Examples & Explanation. [Internet]. Available from: https://www.scribbr.com/statistics/outliers/.

14. Sravneniye Moskvy s Rossiyey po dokhodam i ekonomik = Comparison of Moscow with Russia in terms of income and economy [Internet]. Available from: https://vc.ru/offline/170825-otkuda-u-moskvy-dengi-i-na-chem-ona-ih-zarabatyvaet-sravnenie-moskvy-s-rossiey-po-dohodami-ekonomike. (In Russ.)

15. Ekonomika KHMAO-Yugry = Economy of Khanty-Mansi Autonomous Okrug-Yugra [Internet]. Available from: http://uralfo.gov.ru/district/KHM/hmao_economy/. (In Russ.)

16. Yamalo-Nenetskiy avtonomnyy okrug = Yamalo-Nenets Autonomous Okrug [Internet]. Available from: http://orv.gov.ru/Regions/Details/61. (In Russ.)

17. Sotsial’no-ekonomicheskiy profil’ Chukotskogo avtonomnogo okruga – 2020 = Socio-economic profile of the Chukotka Autonomous Okrug - 2020 [Internet]. Khabarovsk: FANU «Vostokgosplan; 2021. 48 p. Available from: https://vostokgosplan.ru/wp-content/uploads/chao-socialno-jekonomicheskij-profil.pdf. (In Russ.)

18. Glavnoye o regione = The main thing about the region [Internet]. Available from: http://orv.gov.ru/Regions/Details/79. (In Russ.)

19. Postanovleniye Pravitel’stva Magadanskoy oblasti ot 5/03/2020 g. N 146-pp. Ob utverzhdenii Strategii sotsial’no-ekonomicheskogo razvitiya Magadanskoy oblasti na period do 2030 g. = Decree of the Government of the Magadan Region dated 5/03/2020 N 146-pp. On approval of the Strategy for the socio-economic development of the Magadan region for the period until 2030 [Internet]. Available from: https: //www.economy.gov.ru/material/file/780abdc4e4b6eca5f8388a719c7e51f7/proekt_strategii.pdf. (In Russ.)

20. Tablitsa VVP Rossii po godam s 1995 po 2023 god = Table of Russia’s GDP by year from 1995 to 2023 [Internet]. Available from: https://gogov.ru/articles/vvp-rf. (In Russ.)

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Review

For citations:


Valeev E.R., Kirshin I.A., Kuznetsova A.M. Analysis of the Irregularity of Regional Development Based on the Asymmetry of the Empirical Distribution of GRP Per Capita of the Russian Federation Regions. Statistics and Economics. 2023;20(5):54-64. (In Russ.) https://doi.org/10.21686/2500-3925-2023-5-54-64

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ISSN 2500-3925 (Print)