Analysis of the relationship between financial accessibility indicators and the results of the Russian presidential election
- 作者: Kurilova A.A.1, Savenkov D.L.1, Kurilova K.K.2
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隶属关系:
- Togliatti State University
- Higher School of Economics
- 期: 卷 14, 编号 3 (2025)
- 页面: 101-115
- 栏目: Economic policy and public administration
- ##submission.datePublished##: 31.10.2025
- URL: https://bakhtiniada.ru/2070-7568/article/view/378392
- DOI: https://doi.org/10.12731/3033-5973-2025-14-3-305
- EDN: https://elibrary.ru/JFVTGA
- ID: 378392
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Background. This study analyzes the relationship between indicators of financial accessibility among the population of Russian regions and the results of presidential elections in the Russian Federation between 2000 and 2024. The study uses a comprehensive approach, including correlation and variance analysis (ANOVA) of data from 75 regions of Russia over five election cycles.
The study is based on official data from Rosstat, the Federal State Statistics Service of the Russian Federation, on ten key indicators of financial accessibility, adjusted per capita, logarithmized, and standardized. The dependent variable used was the share of votes cast for the incumbent president, Vladimir Putin, in each of the periods under review.
The purpose of the study is to identify and analyze the relationships between indicators of financial accessibility of the population in Russian regions and the results of presidential elections in the Russian Federation between 2000 and 2024, as well as to determine the degree of influence of various financial indicators on the electoral preferences of citizens in a changing economic and political situation.
Research method. A comprehensive approach was used to analyze the relationship between financial accessibility indicators and the results of presidential elections, including correlation and variance analysis (ANOVA).
Results. The results of the analysis revealed the evolution of the influence of financial factors on electoral behavior. In 2000, there were no correlations, which is explained by the economic instability of the 1990s and the novelty of the political leader. Since 2004, significant correlations have been found with the indicators of bank deposits of individuals and legal entities. By 2012, the range of influencing factors had expanded to include mortgage debt and foreign currency transactions. In 2018, the impact of the indicators decreased to the average level of correlation, which is associated with the introduction of international sanctions. In 2024, ruble deposits of individuals became the most significant factor.
The key result of the study is the discovery of predominantly negative correlations between indicators of financial accessibility and electoral support, which may indicate a critical attitude of the financially active population to the economic policy being pursued. The analysis of variance confirmed the statistical significance of the identified relationships for all the periods under review, with the exception of 2000.
The analysis showed that in 2000, no significant correlations were found between financial accessibility indicators and the share of votes for V. Putin, which can be explained by economic instability and the novelty of the political leader. Starting in 2004, significant correlations with bank deposit indicators were identified. In 2012, the range of factors expanded to include mortgage loans and foreign currency transactions. In 2018, the impact of financial indicators on election results weakened due to the introduction of international sanctions. In 2024, ruble deposits by individuals became the most significant factor.
Scope of application of results. The results of the study can be used for further analysis of the relationship between economic policy and electoral behavior, as well as for developing recommendations to improve financial accessibility and stimulate political activity among the population.
作者简介
Anastasia Kurilova
Togliatti State University
编辑信件的主要联系方式.
Email: aakurilova@yandex.ru
Professor of Institute of Finance, Economics and Management, associate professor, Doctor of Economic Sciences
俄罗斯联邦, 59, Ushakov Str., Togliatti, Samara region, 445020, Russian Federation
Dmitry Savenkov
Togliatti State University
Email: savenkov0366@yandex.ru
Professor at the Institute of Finance, Economics, and Management, Professor, Doctor of Economics
俄罗斯联邦, 59, Ushakov Str., Togliatti, Samara region, 445020, Russian Federation
Ksenia Kurilova
Higher School of Economics
Email: ksusa05052006@gmail.com
student
俄罗斯联邦, 11, Pokrovsky Boulevard, Moscow, 109028, Russian Federation
参考
- Carnahan, D., & Saiegh, S. (2020). Electoral uncertainty and financial volatility: Evidence from two-round presidential races in emerging markets. Economics and Politics, 33(1), 109–132. https://doi.org/10.1111/ecpo.12163
- Cox, J., & Griffith, T. (2019). When elections fail to resolve uncertainty: The case of the 2016 U.S. presidential election. The Journal of Financial Research, 42(4), 735–756. https://doi.org/10.1111/jfir.12194
- Demirgüç-Kunt, A., Klapper, L., & Singer, D. (2017). Financial inclusion and inclusive growth: A review of recent empirical evidence. https://doi.org/10.1596/1813-9450-8040
- Didenko, I., Petrenko, K., & Pudło, T. (2023). The role of financial literacy in ensuring financial inclusion of the population. Financial Markets Institutions and Risks, 7(2), 72–79. https://doi.org/10.21272/fmir.7(2).72-79.2023
- Fowowe, B., & Folarin, O. (2019). The effects of fragility and financial inequalities on inclusive growth in African countries. Review of Development Economics, 23(3), 1141–1176. https://doi.org/10.1111/rode.12594
- Goodell, J., McGee, R., & McGroarty, F. (2020). Election uncertainty, economic policy uncertainty and financial market uncertainty: A prediction market analysis. Journal of Banking & Finance, 110, 105684. https://doi.org/10.1016/j.jbankfin.2019.105684
- Grohmann, A., Klühs, T., & Menkhoff, L. (2018). Does financial literacy improve financial inclusion? Cross-country evidence. World Development, 111, 84–96. https://doi.org/10.1016/j.worlddev.2018.06.020
- Herispon, H. (2019). The effect of bank behavior, financial literacy on financial inclusion and debt behavior in household consumption. In 1st International Conference on Social Sciences and Interdisciplinary Studies. https://doi.org/10.4108/eai.5-9-2018.2281280
- Hussain, J., Salia, S., & Karim, A. (2018). Is knowledge that powerful? Financial literacy and access to finance. Journal of Small Business and Enterprise Development, 25(6), 985–1003. https://doi.org/10.1108/jsbed-01-2018-0021
- Kristanto, H. (2021). The impact of bank behavior, financial literacy on investment decisions, mediation of financial inclusion and debt behavior: Study on working capital and investment debtors at Regional Development Bank Yogyakarta, Indonesia. Technium Social Sciences Journal, 23, 626–635. https://doi.org/10.47577/tssj.v23i1.4619
- Lachebeb, Z., Ismail, N., Ahmad, M., & Slesman, L. (2020). The nonlinear impact of political institutional quality on financial inclusion. Jurnal Institutions and Economies, 13(2), 1–25. https://doi.org/10.22452/ijie.vol13no2.1
- Musah, G., Domeher, D., & Alagidede, P. (2022). Effect of presidential elections on investor herding behaviour in African stock markets. International Journal of Emerging Markets, 19(5), 1157–1177. https://doi.org/10.1108/ijoem-06-2021-0960
- Ozili, P. (2020a). Financial inclusion research around the world: A review. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3515515
- Ozili, P. (2020b). Financial inclusion: A strong critique. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3584574
- Rooij, M., Lusardi, A., & Alessie, R. (2012). Financial literacy, retirement planning and household wealth. The Economic Journal, 122(560), 449–478. https://doi.org/10.1111/j.1468-0297.2012.02501.x
- Sarma, M., & Pais, J. (2010). Financial inclusion and development. Journal of International Development, 23(5), 613–628. https://doi.org/10.1002/jid.1698
- Selvia, G., Rahmayanti, D., Afandy, C., & Zoraya, I. (2021). The effect of financial knowledge, financial behavior and financial inclusion on financial well-being. In 3rd International Conference on Social Sciences and Interdisciplinary Studies. https://doi.org/10.4108/eai.3-10-2020.2306600
- Shaikh, I. (2019). The U.S. presidential election 2012/2016 and investors’ sentiment: The case of CBOE market volatility index. Sage Open, 9(3). https://doi.org/10.1177/2158244019864175
- Yahaya, S. (2023). Socio-economic effects of financial literacy on financial inclusion of women in Niger State, Nigeria. GUJEDS, 3(1), 11. https://doi.org/10.57233/gujeds.v3i1.19
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