Статьи

The empirical studies on the potential interconnection between tax and financial growth have gathered a great deal of attention from scholars and policymakers. However, the impact of regulatory capital on taxation performance has been ignored. In this context, the study aims to provide new discussion by assessing the linkage between capital adequacy and taxation revenues in the case of Brazil, Russia, India, China, and South Africa (BRICS) economies. We aim to find out the impact of capital adequacy ratios on the taxation performance of BRICS countries. We hypothesize that a stronger banking system is positively associated with higher taxation performance. A sound banking and financial system promotes economic development and growth, also resulting in the firms’ profitability and ultimately increasing the government’s tax revenues. Using the advanced quantile panel technique of the Methods of Moments Quantile
Method (MM-QR), the study showed that capital adequacy positively influences taxation sustainability in the BRICS economies. Besides, the findings illustrated that economic growth positively increases taxation revenues in the BRICS economies. The study suggests that regulatory capital policies can positively influence financial stability by mitigating bank risk-taking incentives and offering a buffer against losses. Hence, an increase in capital adequacy will promote financial stability, which in turn leads to increased taxation revenues. However, higher capital adequacy may increase the franchise value of core banks’ activities, which in turn allows banks to attract new investments and funds that can be used for investment in risky market-based activities. Based on the empirical analysis, the study concludes that policymakers should focus more on capital regulation and sustainable taxation revenues.

The three-dimensional representation of the solution for the ordinary differential equations system (ODE) describing convective flow is a Lorentz attractor. This system of equations is the basic deterministic system with which the development of chaos theory began. In order to derive the characteristics of this complex system, the development of a modern accessible and easy to use software product is necessary.
The aim of the work was to create a program for investigating the Lorentz attractor in Python using special command libraries. Particular attention is paid to ways of solving the system of ordinary differential equations by different numerical methods and to the clarity of the presented results.
The code blocks of the developed software are described; it is used to calculate the Lorentz attractor by varying the numerical methods for solving the ordinary differential equations and system parameters. Conclusions are drawn from the results of the calculation.