Analysis of the impact of economic and technological indicators on the transformation of the financial development of countries

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Abstract

Research in the field of financial development is an integral part of macroeconomic analysis and strategic planning at the national level. They allow the state and business to make informed decisions aimed at developing the financial system, maintaining high rates of economic growth or increasing them, etc. The aim of the study is to improve the quality and efficiency of the assessment of the financial system based on the analysis of the impact of economic and technological indicators on the pace of financial development. To achieve this goal , the following tasks were set and solved in the work: 1) the analysis of the main concepts, tools and algorithms for assessing the pace of financial development was carried out; 2) variables characterizing one of the sectors of the financial system, variables of interest were determined; 3) statistical interpretation of the processed data was carried out, 4) panel data models were constructed. Materials and Methods. The modeling used system and statistical analysis, econometric modeling of panel data. Conclusions: a conceptual approach has been developed to typologize the financial development of countries, which will allow government agencies to carry out more accurate macroeconomic forecasting and apply a strategic approach to planning economic development. The modeling of the influence of macroeconomic indicators, dummy variables of economic crises, variable technological components on indicators of financial development and variables characterizing the structure of the financial system is carried out.

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About the authors

Konstantin V. Krinichansky

Financial University under the Government of the Russian Federation

Author for correspondence.
Email: kkrin@fa.ru
ORCID iD: 0000-0002-1225-7263

Dr. Sci. (Econ.), Professor of the Department of Financial Markets and Financial Engineering, Chief Researcher at the Institute of Financial Research of the Faculty of Finance

Russian Federation, Moscow

Natalia V. Grineva

Financial University under the Government of the Russian Federation

Email: ngrineva@fa.ru
ORCID iD: 0000-0001-7647-5967

Cand. Sci. (Econ.), Associate Professor, Associate Professor of the Department of Data Analysis and Machine Learning

Russian Federation, Moscow

References

  1. Krinichansky K. V., Annenskaya N. E. The concept and prospects of financial development // Economic issues. -2022. —No. 10. —pp. 20–36. https://doi.org/10.32609/0042-8736-2022-10-20-36.
  2. Krinichansky K. V. Interrelation of financial development and economic growth: the problem of nonlinearity // Finance and credit. —2022. —Vol. 28, No. 6. —pp. 1712–1733. https://doi.org/10.24891/fc.28.6.1212 .
  3. Allen F., Bartiloro L., Gu X., Kowalewski O. Does economic structure determine financial structure? // Journal of International Economics. —2018. —Volume 114. —P. 389–409.
  4. Rapp M. S., Udoieva I. A. What matters in the finance–growth nexus of advanced economies? Evidence from OECD countries // APPLIED ECONOMICS. —2018 —Vol. 50 —No. 6 —P. 677–685.
  5. Danilov Yu. A., Pivovarov D. A. Financial structure in Russia: conclusions for public policy // Economic issues. 2018. No. 3. pp. 30–47.
  6. Krinichansky K.V. Technological transformation of debt securities markets and its effects // Finance and credit. —2023. —Vol. 29, issue 2. —pp. 244–261. https://doi.org/10.24891/fc.29.2.244.
  7. Krinichansky K. V., Yurevich M. A., Fatkin A.V. The connection of finance and growth in Russia: does the channel of small and medium-sized businesses work? // Economic issues. —2023. —No. 6. —pp. 76–93. https://doi.org/10.32609/0042-8736-2023-6-76-93.
  8. Modern concepts of financial development: theory and methodology : monograph / Col. authors; edited by K.V. Krinichansky. —Moscow : KNORUS, 2023. —252 p.
  9. Global Financial Development Database Электронный ресурс, URL: https://www.worldbank.org/en/publication/gfdr/data/global-financial-development-database.
  10. Financial Development Index Database Электронный ресурс, URL: https://data.imf.org/?sk=388dfa60-1d26-4ade-b505-a05a558d9a42 .
  11. WDI: Электронный ресурс, URL: https://datacatalog.worldbank.org/search/dataset/0037712/World-Development-Indicators.
  12. Human Development Reports: Электронный ресурс, URL: https://hdr.undp.org/data-center/documentation-and-downloads.
  13. Kapidani, M., & Luci, E. (2019). The Effects on Innovation from Financial Sector Development: Evidence from Developing Countries. Journal of Competitiveness, 11(2), p. 93.
  14. Krinichansky K. V., Sergi B. S. (2019), Financial Development and Economic Growth in Russia, in Bruno S. Sergi (ed.) Modeling Economic Growth in Contemporary Russia, Emerald Publishing, pp. 1 – 28. https://doi.org/10.1108/978-1-78973-265-820191001.
  15. Laeven, L., Valencia, F. Systemic Banking Crises Database II. IMF Econ Rev 68, 307–361 (2020) Электронный ресурс, URL: https://link.springer.com/article/10.1057/s41308-020-00107-3.
  16. Nguyen T.C, Castro V., Wood J. A new comprehensive database of financial crises: Identification, frequency, and duration. Economic Modelling 108 (2022) Электронный ресурс, URL: https://www.sciencedirect.com/science/article/abs/pii/
  17. The Complete Global Innovation Index Rankings Электронный ресурс, URL: http://stats.areppim.com/stats/links_innovationxlists.htm
  18. Feyen, Erik, Katie Kibuuka, and Diego Sourrouille. «Fin Stats 2015: A ready-to-use tool to benchmark financial sectors across countries and over time». World Bank Financial Systems Global Practice (2014)

Supplementary files

Supplementary Files
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1. JATS XML
2. Fig. 1. Map of countries by GDP growth.

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3. Fig. 2. Correlation matrix of explicable and explanatory variables.

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4. Fig. 3. Actual (blue) and model (orange) values of the variable ratio of Private credit by deposit money banks to GDP (%).

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5. Fig. 4. Actual (blue) and model (orange) values of the Credit Institutions Development Index variable.

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