Do not mention Russia: A theoretical framework for bank penalties due to economic sanction violations and policy implications

The recent development of integrated reporting intends to address the limitations associated with corporate reporting practices. This paper aims to examine whether a statistically significant relationship exists between integrated reporting quality and financial performance. Secondary data was used, namely the integrated reports and annual financial statements of South African banks listed on the Johannesburg Stock Exchange (JSE) for 2010–2014. For the period 2005–2009, only the financial statements were used, since integrated reporting was not yet mandatory. The research design was longitudinal and it combined qualitative and quantitative methods. Descriptive statistics and Feasible Generalized Least Square (FGLS) were used to explore the relationships between financial performance and integrated reporting quality. The results indicate that there is a positive relationship between integrated reporting quality (IRQ) and earnings per share (EPS). However, there is no significant relationship between IRQ and Tobin’s q (Q-Ratio), IRQ and return on equity (ROE), IRQ and return on assets (ROA) as well as IRQ and economic value added (EVA). Moreover, there are no significant differences on the financial performance of the listed banks before and after the introduction of integrated reporting.

The article analyzes the regulatory framework in the insurance market in connection with the advent of Big Data, such as information collected from different sources that can be manipulated by new technologies. The use of Big Data offers significant opportunities to the insurance companies in terms of digitization of the distribution channels and greater knowledge of the customers, which is instrumental to a more effective identification of the individual’s risk profile, as well as improvement of the competitiveness. However, regulatory measures are needed for a proper use of Big Data in terms of respect of the individual privacy, potential discrimination and constraint on competition.

The purpose of this paper is to present the results of a meta-analysis of the relationship between determinant factors and tax evasion based on deterrence approach. Using the meta-analysis method, each statistical result of empirical studies is converted into r-pearson as standardized effect size, and then synthesized into a mean effect size in order to increase power and to resolve uncertainty. Theoretically, increasing audit, tax rate and tax penalty will decrease tax evasion. However, the results show that only tax rate has a significant impact on tax evasion. Synthesizing totally 478 outcomes from articles published between 1978 and 2018, there is a robust conclusion that decreasing tax rate is an effective tool in combating tax evasion. On the other hand, audit and penalty are not significant in influencing tax evasion. In addition, the results of heterogeneity analysis suggest that national culture and income level of the country are useful in explaining the impact of audit, tax rate and tax penalty on tax evasion. These findings should be of interest to policymakers. First, instead of sacrificing more resources in conducting audit or imposing more penalty, tax authorities should consider setting the tax rate as low as possible to diminish tax evasion. Second, considering that culture and income level influence the impact of audit and penalty on tax evasion, policymakers should consider national cultural values and income level condition when designing audit techniques and setting penalty structures.