Search results

This study aims to investigate how gender diversity and remuneration of boards of directors’ influence earnings quality for Spanish-listed firms.

The sample includes 105 nonfinancial Spanish firms from 2013 to 2018, corresponding to an unbalanced panel of 491 firm-year observations. The primary empirical method uses a Tobit semiparametric estimator with firm- and industry-level fixed effects and an innovative set of measures for earnings quality developed by StarMine.

Results exhibit a positive correlation between increased gender diversity and a firm’s earnings quality, suggesting that a gender-balanced board of directors is associated with more transparent financial reporting and informative earnings. We also find a nonmonotonic, concave relationship between board remuneration and earnings quality. This indicates that beyond a certain point, excessive board compensation leads to more opportunistic manipulation of financial reporting with subsequent degradation of earnings quality.

This study only covers nonfinancial Spanish listed firms and is silent about how alternative board features’ influence earnings quality and their informativeness.

This study introduces measures of earnings quality developed by StarMine that have not been used in the empirical literature before as well as measures of board gender diversity applied to a suitable Tobit semiparametric estimator for fixed effects that improves the precision of results. In addition, while most of the literature focuses on Anglo-Saxon countries, this study discusses board gender diversity and board remuneration in the underexplored context of Spain. Moreover, the hand-collected data set comprising financial reports provides previously untested board features as well as a nonlinear relationship between remuneration and earnings quality that has not been thoroughly discussed before.

Most research on tax evasion focused on microeconomic variables revolving around perceptions and decisions of individual taxpayers. However, a new wave of research is now investigating the role of macroeconomic variables in inducing tax evasion. This study adds to the limited studies in this new direction of research. Previous studies found that inflation, low gross domestic product (GDP) growth and gross fixed capital formation causes recession, increases unemployment, raise interest rates, hurts both domestic and foreign direct investments. This study examined the relationship between these variables and estimated tax evasion in Sub-Saharan Africa.

The study adopts a correlation research design with 2,300 data points collected from 23 countries in Sub-Saharan Africa. Specifically, tax to GDP ratio, gross fixed capital formation per GDP and the GDP annual growth report from each country for the period 2011–2020 was retrieved. Generalised least square regression technique was employed to analyse the data due to the presence of heteroskedasticity in the model and random effect was utilized based on the Hausman test. To avoid misspecification and biased result; therefore, all relevant test was conducted including the multicollinearity test.

The results indicate that GDP annual growth and gross fixed capital formation have a significant negative impact on estimated tax evasion in Sub-Saharan Africa. The findings further indicate a negative but insignificant relationship between inflation and estimated tax evasion in Sub-Saharan Africa. The study concludes that both GDP annual growth rate and gross fixed capital formation negatively influence estimated tax evasion and the policy implications in the African continent were discussed.

The new findings on the effects of GDP annual growth, growth fixed capital formation and inflation on estimated tax evasion provide novel knowledge that is currently lacking in the current literature, specifically Sub-Saharan African continent.

The relationship between ethnicity, religion and entrepreneurship is an emerging field, and an extremely important topic, considering the influence of these drivers on people’s lives and on entrepreneurs’ performance, in particular. This study aims to explore and contribute to a more robust understanding of this relationship.

The main trends were disclosed using Preferred Reporting Items for Systematic Reviews and Meta-Analysis and VOSviewer. The set of articles cover the annual period from 1973 to 2022. The coupling analysis founded links to produce a framework outlining an integrative state of the art intersecting ethnicity and religion and entrepreneurship spectrum study.

The analysis identified integrative relationships between the concepts of ethnicity, religion and entrepreneurship, which describe the direction of literature, resulting in five main categories.

This study offers a novel framework and in-depth understanding to delve into this interrelationship research agenda. Guided by the gaps in the literature, a set of outstanding avenues for future research are proposed.

The aim of this study is to analyze whether or not the interaction between academicians' cultural and social capitals has effects on their individual work performance.

A structural model was developed in the study to test the correlations between cultural capital, social capital and individual work performance. The data of the study were collected from 2,855 academicians.

The findings of the study indicate that both cultural and social capital has a simultaneous positive effect on individual work performance. It is also found that the cultural and social capital can account for 39% of the individual work performance and that social capital is a dominant driving force.

Although the cultural and social capital has significant effects on the individual work performance, these effects are not of casual nature.

Therefore, it is possible to argue that the cultural and social capital in higher education institutions should be encouraged. Future studies may employ samples of individuals to see whether not these effects have causal characteristics.

The findings of the study contributed to the existing knowledge on the work performance describing the new correlations among the patterns.