Journal of Applied Economic Research
ISSN 2712-7435
Impact of the Gross Regional Product and Total Monetary Income of the Population on Savings Behavior in the Regions of Russia
V.V. Gamukin, O.S. Miroshnichenko
Tyumen State University, Tyumen, Russia
Abstract
The search for factors that could explain the formation of stable savings behavior of the population while taking into account regional conditions, remains relevant for ensuring the sustainability of a country's banking system. The aim of the study is to identify possible relationships between the indicators of gross regional product, total monetary income and deposits of the population in the regions of Russia. Within the framework of the study, the hypothesis is set and tested about the existence of a pattern between the savings behavior of the population and the share of its income relative to the gross regional product. An index method is used to determine the ratio of the indicators under consideration. Three indices are calculated: the ratio of the increase in deposits of the population, the ratio of the increase in deposits of the population to the volume of monetary income of the population of the region, and the ratio of the volume of monetary income of the population of the region to gross regional product. The latter index has not been used previously in studies of the savings behavior of the population. Additionally, the method of graphical matching of indices with scattering chart construction is applied. The indicators of the regions of Russia are divided into four clusters according to the criterion of deviation from the average values in the country. As a result, various models of behavior of depositors are determined. In 21 regions classified under cluster I and IV, there is a direct proportional relationship between the indicators considered, namely, a low tendency to save with a low share of per capita income to gross regional product. In 64 regions classified as clusters II and III, an inverse relationship between the indicators under consideration was formed, which indicates the predominance of such a model in Russia as a whole and confirms the hypothesis put forward for most regions. The distribution of the regions of the clusters according to relativity criteria from the average Russian values allows you to quickly assess the state of savings behavior of the population and predict this factor when analyzing the stability of regional banking systems within the practical activities of the territorial administrations of the Central Bank of Russia. It can also be used by credit organizations to develop interregional expansion programs.
Keywords
stability of the banking system; average per capita monetary income of the population; gross regional product; bank deposits; clustering of regions
JEL classification
E21, E52References
1. Carnevale, C., Mazzuca, M. (2014). Sustainability report and bank valuation: Evidence from European stock markets. Business Ethics: A European Review, Vol. 23, Issue 1, 69–90. Available at: onlinelibrary.wiley.com/doi/abs/10.1111/beer.12038.
2. Mircea, I. (2014). Is Sustainable Banking a Solution? Journal of Financial and Monetary Economics, Vol. 1, No. 1, 108–116. Available at: ideas.repec.org/a/vls/rojfme/v1y2014i1p108-116.html.
3. Schaeck, K., Cihak, M. (2014). Competition, efficiency and stability in banking. Financial Management, Vol. 43, No. 1, 215–241. Available at: www.jstor.org/stable/43280177.
4. Vives, X. (2016). Competition and Stability in Banking: The Role of Regulation and Competition Policy. Princeton, Oxford, Princeton University Press, 334 р. Available at: press.princeton.edu/books/hardcover/9780691171791/competition-and-stability-in-banking.
5. Vakhrusheva, M.Iu., Kharitonova, P.V., Patrusova, A.M. (2020). Problemy i meropriiatiia po sovershenstvovaniiu depozitnoi politiki banka (Problems and measures to improve the bank's deposit policy). Problemy sotsialno-ekonomicheskogo razvitiia Sibiri (Issues of Social - Economic Development of Siberia), No. 4, 29–35. (In Russ.). DOI: 10.18324/2224-1833-2020-4-29-35
6. Merkulova, N.S., Shaptala, A.R. (2021). Investitsionno-resursnyi potentsial otechestvennoi bankovskoi sistemy (Investment and resource potential of the domestic banking system). Fundamentalnye issledovaniia (Fundamental Research), No. 1, 72–78. (In Russ.). DOI: 10.17513/fr.42952.
7. Ankudinova, A.P. (2013). Sovershenstvovanie metodiki rascheta balansa denezhnykh dokhodov i raskhodov naseleniia v Rossii (Improving the Methods to Calculate the Balance of Money Income and Expenditure of the Population in Russia). Upravlenets (The Manager), No. 6 (46), 64–72. (In Russ.).
8. Andreeva, M.V., Kirik, O.B. (2020). Denezhnye dokhody naseleniia kak faktor ekonomicheskogo rosta (Monetary income of the population as a factor of economic growth). Izvestiia vysshikh uchebnykh zavedenii. Seriia: Ekonomika, finansy i upravlenie proizvodstvom [Bulletin of Higher Educational Establishments. Series Economics, Finance, and Production Management], No. 3 (45), 42–50. (In Russ.).
9. Badura, O. (2020). Interest Rates and Household Saving Behaviour: An Empirical Puzzle and a Solution Using Czech Data. Prague Economic Papers, Vol. 29, Issue 5, 545–560. DOI: 10.18267/j.pep.741.
10. Gerasimova, I.A. (2009). Istochniki dokhodov kak faktor mezhregionalnoi sotsialno-ekonomicheskoi differentsiatsii naseleniia Rossii (1995–2007 gg.). (Sources of Income as a Factor of Interregional Social Economic Differentiation of the Russia’s Population (1995-2007). Prikladnaia ekonometrika (Applied Econometrics), No. 4 (16), 60–84. (In Russ.).
11. Musaev, R.A., Volkov, S.A. (2010). Formirovanie suverennoi bankovskoi sistemy Rossii: vozmozhnost' i neobkhodimost (Sovereign Banking System in Russia: Availability and Necessity). Vestnik Moskovskogo universiteta. Seriia 6: Ekonomika (Moscow University Economics Bulletin), No. 4, 85–95. (In Russ.).
12. Přívara, A., Trnovský, K. (2021). The impact of remittances on household savings in the Baltics. Investment Management and Financial Innovations, Vol. 18, Issue 1, 335–345. DOI: 10.21511/imfi.18(1).2021.27.
13. Wellschmied, F. (2021). The welfare effects of asset mean-testing income support. Quantitative Economics, Vol. 12, Issue 1, 217–249. DOI: 10.3982/QE1241.
14. Zuanazzi, P.T., Fochezatto, A. (2020). Population aging and the probability of saving: A life cycle analysis of the Brazilian case. Nova Economia, Vol. 30, Issue 3, 951–968. DOI: 10.1590/0103-6351/4915.
15. Asdrubali, P., Tedeschi, S., Ventura, L. (2020). Household risk-sharing channels. Quantitative Economics, Vol. 11, Issue 3, 1109–1142. DOI: 10.3982/QE1000.
16. Gurgel Carneiro de Oliveira, O.A., Dos Santos Felipe, I.J., Mendes-Da-Silva, W. (2017). The impact of crisis on household savings behavior in the United States. Innovar, Vol. 27, No. 66, 137–151. DOI: 10.15446/innovar.v27n66.66808.
17. Tran, N.D., Ong, C.N., Nguyen, Q.D.L. (2020). The relationship between income inequality and savings: evidence from household‐level panel data in Vietnam. Journal of Applied Economics, Vol. 23, Issue 1, 709–728. DOI: 10.1080/15140326.2020.1816131.
18. Haagsma, R. (2018). Income inequality and saving in a class society: The role of ordinal status. Economics, Vol. 12. DOI: 10.5018/economics-ejournal.ja.2018-46.
19. Sokolova, N.G. (2011). Model sotsialnoi struktury obshchestva v issledovanii kachestva zhizni naseleniia territorii (Model of social structure in the study of life's quality of the territory's population). Ekonomika regiona (Economy of the Region), No. 3 (27), 89–94. (In Russ.).
20. Tikunov, V.S., Chereshnia, O.Iu. (2015). Indeks ekonomicheskogo razvitiia regionov Rossiiskoi Federatsii (Economic index for the regions of the Russian Federation). Vestnik Moskovskogo universiteta. Seriia 5: Geografiia (Moscow University Geography Bulletin), No. 6, 41–47. (In Russ.).
21. Kopoin, A., Moran, K., Paré, J.P. (2013). Forecasting regional GDP with factor models: How useful are national and international data? Economics Letters, Vol. 121, Issue 2, 267–270. DOI: 10.1016/j.econlet.2013.08.007.
22. Lehmann, R., Wohlrabe, K. (2014). Forecasting gross value-added at the regional level: Are sectoral disaggregated predictions superior to direct ones? Review of Regional Research, Vol. 34, Issue 1, 61–90. DOI: 10.1007/s10037–013–0083–8.
23. Schanne, N., Wappler, R., Weyh, A. (2010). Regional unemployment forecasts with spatial interdependencies. International Journal of Forecasting, Vol. 26, Issue 4, 908–926. DOI: 10.1016/j.ijforecast.2009.07.002.
24. Berdnikova, T.B. (2013). Finansovoe izmerenie sotsialnoi spravedlivosti v regionalnom masshtabe (Financial Dimension of Social Justice on a Regional Scale). Problemnyi analiz i gosudarstvenno-upravlencheskoe proektirovanie (Problem Analysis and Public Administration Projection), Vol. 6, No. 2, 46–66. (In Russ.).
25. Tarasyev, A.M., Tarasyev, A.A., Tarasyeva, T.V. (2015). Modelirovanie dinamiki ekonomicheskogo razvitiia v usloviiakh chlenstva Rossii v VTO (Modeling the dynamics of economic development in terms of Russian membership in WTO). Vestnik UrFU. Seriia Ekonomika i upravlenie (Bulletin of UrFU. Series Economics and Management), Vol. 14, No. 4, 553–573. (In Russ.).
26. Zubarevich, N.V., Safronov, S.G. (2019). Liudi i den'gi: dokhody, potreblenie i finansovoe povedenie naseleniia rossiiskikh regionov v 2000–2017 gg (People and money: Incomes, Consumption and financial Behavior of the Population of the Russian Regions in 2000–2017). Izvestiia Rossiiskoi akademii nauk. Seriia geograficheskaia, No. 5, 3–17. (In Russ.). DOI: 10.31857/S2587-5566201953-17.
27. Ilyasov, B.G., Makarova, E.A., Zakieva, E.Sh., Gizdatullina, E.S. (2019). Otsenka dannykh o dokhodakh naseleniia v regionalnom razreze metodom glavnykh komponent (Analysing the Data on Incomes in the Regional Context by the Principal Component Method). Ekonomika regiona (Economy of the Region), Vol. 15, No. 2, 601–617. (In Russ.). DOI: 10.17059/2019-2-22.
28. Izotov, D.A. (2010). Severo-Vostok Kitaia v usloviiakh mirovogo krizisa [The economy of North-West China amid a world crisis]. Ekonomika regiona (Economy of the Region), No. 4 (24), 229–233. (In Russ.).
29. Batishcheva, G.A. (2008). Modelirovanie investitsionnykh protsessov [Modelling of investment processes]. Ekonomicheskii vestnik Rostovskogo gosudarstvennogo universiteta [Economic Bulletin of Rostov State Economy], Vol. 6, No. 4-2, 54–59. (In Russ.).
30. Yakovleva, E.B., Mavrina, I.A. (2010). Puti vykhoda depressivnykh regionov iz krizisnogo sostoianiia [Options for depressed regions to escape from crisis]. Vestnik Sankt-Peterburgskogo universiteta. Seriia 5. Ekonomika (St Petersburg University Journal of Economic Studies), No. 1, 54–57. (In Russ.).
Acknowledgements
The reported study was funded by RFBR according to the research project № 19-010-00801 A.
About Authors
Gamukin Valery Vladimirovich
Candidate of Economic Sciences, Professor, Department of Economics and Finance, Tyumen State University, Tyumen, Russia (625003, Tyumen, Volodarskiy street, 6); ORCID 0000-0002-4396-274X; e-mail: valgam@mail.ru.
Miroshnichenko Olga Sergeevna
Doctor of Economics, Associate Professor, Professor of Department of Economy and Finance, Tyumen State University, Tyumen, Russia (625003, Tyumen, Volodarskiy street, 6); ORCID 0000-0002-7981-575X; e-mail: o.s.miroshnichenko@utmn.ru.
For citation
Gamukin V.V., Miroshnichenko O.S. Impact of the Gross Regional Product and Total Monetary Income of the Population on Savings Behavior in the Regions of Russia. Journal of Applied Economic Research, 2021, Vol. 20, No. 3, 383-405. DOI: 10.15826/vestnik.2021.20.3.016.
Article info
Received May 6, 2021; Revised July 3, 2021; Accepted July 20, 2021.
DOI: http://dx.doi.org/10.15826/vestnik.2021.20.3.016
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