Sarah Korein, Ahmed Abotalib, Mariusz Trojak and Heba Abou-El-Sood
This paper is motivated by the heated debates preceding the introduction of additional regulatory requirements of Basel III on capital conservation buffer (CCB) and regulatory…
Abstract
Purpose
This paper is motivated by the heated debates preceding the introduction of additional regulatory requirements of Basel III on capital conservation buffer (CCB) and regulatory leverage (RLEV) in banks of emerging markets. The paper aims to examine which policy ratio can improve bank efficiency (BE), in one of the most resilient banking settings in the Middle East and North Africa (MENA) region.
Design/methodology/approach
The analysis is performed on a sample of 13 banks for the period 2010–2018 in Egypt and proceeds in two steps. In the first step, the data envelopment analysis model is used to derive bank-specific efficiency scores. In the second step, BE scores are regressed on the two types of regulatory capital and a set of control variables.
Findings
The paper is motivated by regulatory debates on the viability of RLEV and CCB in enhancing BE. The results show that higher RLEV and CCB are associated with a reduction in BE and that RLEV is highly associated with BE compared to CCB. Hence, results are relevant to policymakers in designing measures for improving BE in emerging markets.
Originality/value
The findings contribute to a small but growing stream of research on capital adequacy in emerging markets. This study provides results on the viability of risk-based vs non-risk-based capital requirements. The findings are also relevant to bank regulators in similar emerging market settings in their efforts to introduce and phase in minimum leverage requirements according to Basel III.
Details
Keywords
Paulina Hojda, Sylwia Roszkowska and Mariusz Trojak
The study aims to examine the factors that determine the success of graduates in the labour market. This success is measured in several ways, namely, above-average wages in the…
Abstract
Purpose
The study aims to examine the factors that determine the success of graduates in the labour market. This success is measured in several ways, namely, above-average wages in the economy, employment in accordance with the field of study and job satisfaction. The research explores the employment outcomes of graduates from Jagiellonian University, which is the oldest and one of the best in Poland. Not only does the analysis focus on degree-related predictors such as discipline or faculty, but it is also extended to include activities undertaken during studies and family background.
Design/methodology/approach
The analysis is based on data collected in the graduates' career survey, which is conducted six months after graduation. For this article, a database of over 6,000 graduates from four subsequent editions of the survey was compiled. In order to identify the predictors of graduates' success, a logistic regression model was applied.
Findings
The study reveals that graduates' success in the labour market is influenced not only by their discipline, but also by the activities undertaken during their studies, the type of studies and demographic features. Studies in natural sciences give chance for higher earnings, job matching and satisfaction. The humanities and social sciences increase only graduates’ group satisfaction. The impact of activities during studies is diversified – those matched to studies increase the job matching and those unmatched lower the earnings, job matching and satisfaction. Parents' level of education resulted in salary increase. The results also confirm the premises of behavioural theory.
Research limitations/implications
Firstly, the main research limitation is that data of one particular university's graduates are used, so the results should be interpreted in the context of Poland only. Secondly, the authors propose a precise concept of success; however, it could be refined in any future study. This limitation could be mitigated by the flexibility of the model, which guarantees that other predictors of success could be involved. Furthermore, the article was based on data collected before the COVID-19 pandemic, when the labour market was completely different, so it also could be revised now.
Practical implications
The results of the analysis can be used when preparing the University’s educational offer. Since various predictors are implemented in the model, the information could be useful not only for future students, but also for current students, so they can make a more data-driven decision about their future careers. Additionally, University careers’ advisors are provided with knowledge on the determinants of graduates' success. Taking a broader view, the research findings are also informative for labour market institutions.
Originality/value
The paper offers an advanced analysis in a field that is under-researched in many transition countries, including Poland, i.e. graduates' entry into the workplace. Although the study provides insight into the factors that determine the labour market success of one particular university's graduates, this modelling can be applied to the empirical data of another higher education institution’s (HEI's) graduates.