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This paper aims to analyze the differences in the efficiency of public accounting firms across both firms and countries in the post-Sarbanes-Oxley world. It also investigates the issues surrounding the dynamics of their efficiency gaps.

This study uses four-stage data envelopment analysis to estimate the efficiency of public accounting firms in the USA, the UK and Canada over the period 2008–2015. The ß- and σ- convergence tests are applied to analyze the dynamics of the efficiency gaps across firms and countries.

The results show that market competition in the accounting sector increases efficiency. Gross domestic product growth also increases it while inflation decreases it. The analytical results indicate that the lagging public accounting firms are catching up to the leading public accounting firms within the same country, within the Big 4 group and within the non-Big 4 group. They also show that the non-Big 4 groups are catching up to the Big 4 group and that the countries with less efficient accounting firms are catching up to the country with the more efficient accounting firms.

This study accounts explicitly for the effect of business environmental factors on public accounting firm efficiency. Furthermore, the research also adds to the literature by investigating the comparative dynamics of the efficiency gaps of public accounting firms.

Seeks to analyze the role of population and wealth in determining capital movements between countries.

By applying the Clark‐Jokung 50 percent portfolio theorem, considers the specific case of a two country world where the cumulative conditional expected outcome on the asset in one country is greater than or equal to that in the other country.

Specifically, lower population and wealth ratios (poor/rich) increase net capital flows to the poor country.

So far most of the literature on cross‐border capital flows has generally neglected the role of population and underestimated the role of wealth. This study addresses the gaps left by these deficiencies.

This study aims to investigate the response of green investments of emerging countries to own-market uncertainty, oil-market uncertainty and COVID-19 effect/geo-political risks (GPRs), using the tail risks of corresponding markets as measures of uncertainty.

This study employs Westerlund and Narayan (2015) (WN)-type distributed lag model that simultaneously accounts for persistence, endogeneity and conditional heteroscedasticity, within a single model framework. The tail risks are obtained using conditional standard deviation of the residuals from an asymmetric autoregressive moving average – ARMA(1,1) – generalized autoregressive conditional heteroscedasticity – GARCH(1,1) model framework with Gaussian innovation. For out-of-sample forecast evaluation, the study employs root mean square error (RMSE), and Clark and West (2007) (CW) test for pairwise comparison of nested models, under three forecast horizons; providing statistical justification for incorporating oil tail risks and COVID-19 effects or GPRs in the predictive model.

Green returns responds significantly to own-market uncertainty (mostly positively), oil-market uncertainty (mostly positively) as well as the COVID-19 effect (mostly negatively), with some evidence of hedging potential against uncertainties that are external to the green investments market. Also, incorporating external uncertainties improves the in-sample predictability and out-of-sample forecasts, and yields some economic gains.

This study contributes originally to the green market-uncertainty literature in four ways. First, it generates daily tail risks (a more realistic measure of uncertainty) for emerging countries’ green returns and global oil prices. Second, it employs WN-type distributed lag model that is well suited to account for conditional heteroscedasticity, endogeneity and persistence effects; which characterizes financial series. Third, it presents both in-sample predictability and out-of-sample forecast performances. Fourth, it provides the economic gains of incorporating own-market, oil-market and COVID-19 uncertainty.

This paper aims to examine whether the characteristics of boards are more important in determining dividend policy than management characteristics. The authors show that as the final declarers of dividend policy is a firm’s board, the composition of a firm’s board significantly subsumes the effect of management characteristics that may also influence dividend policy.

Using the dividend declaration dummy variable, the authors run a fixed effect logistic regression of the dividend indicator on board characteristics, and managerial characteristics with firm level controls, year effects and industry effects while clustering standard errors at the firm level. For dividend yield variable which is censored at zero, they use a fixed effect Tobit regression.

The results of the study show that board characteristics such as average age, female presence and size have a strong positive significant effect, whereas board independent chair and voting right of directors have a negative significant effect on the likelihood of dividend declaration. For dividend yields, the results suggest that the presence of directors with financial expertise and the board size are the main influencers of dividend policy. Managerial characteristics are subsumed by director characteristics for determining dividend policy. The results overall support the evidence on the monitoring role of boards on management.

The originality and value of this study lies in the approach of including a comprehensive number of board characteristics unlike previous studies which makes the study of the influence of board composition on dividends more encompassing.

This chapter seeks to conceptualize a new approach to the identification of the factors influencing the adoption of a political risk assessment (PRA) function. By making use of firm value maximization and risk aversion and considering the rationale for risk management activities, a number of determinants are identified which can be deployed in future PRA studies. A model for predicting the PRA adoption decision is proposed. Geographical contextualization in one or more emerging markets (EMs) provides a further dimension of originality as well as reflecting an increasingly important international business phenomenon. Political risk (PR) and political risk assessment (PRA) are of increasing importance in the context of the growth and development of emerging markets (EMs). The latter provide opportunities for inward investment from more developed economies. There has also been a rapid growth in outward foreign direct investment (OFDI) from emerging markets to other economies. This chapter adds to the current understanding of PRA by examining this issue in emerging markets (EMs) through the model developed here.

Despite the existence of a variety of approaches to the understanding of behavioral and managerial ethics in organizations and business relationships generally, knowledge of organizing systems for fidelity remains in its infancy. We use halakha, or Jewish law, as a model, together with the literature in sociology, economic anthropology, and economics on what it termed “middleman minorities,” and on what we have termed the Landa Problem, the problem of identifying a trustworthy economic exchange partner, to explore this issue.

The article contrasts the differing explanations for trustworthy behavior in these literatures, focusing on the widely referenced work of Avner Greif on the Jewish Maghribi merchants of the eleventh century. We challenge Greif’s argument that cheating among the Magribi was managed chiefly via a rational, self-interested reputational sanctioning system in the closed group of traders. Greif largely ignores a more compelling if potentially complementary argument, which we believe also finds support among the documentary evidence of the Cairo Geniza as reported by Goitein: that the behavior of the Maghribi reflected their deep beliefs and commitment to Jewish law, halakha.

Applying insights from this analysis, we present an explicit theory of heroic marginality, the production of extreme precautionary behaviors to ensure service to the principal.

Generalizing from the case of halakha, the article proposes the construct of a deep code, identifying five defining characteristics of such a code, and suggests that deep codes may act as facilitators of compliance. We also offer speculation on design features employing deep codes that may increase the likelihood of production of behaviors consistent with terminal values of the community.

This chapter presents findings from a study into reading interests and habits of prisoners in six Croatian penitentiaries, and their perception and use of prison libraries. The study was conducted with the help of self-administered print survey. A total of 30% of prison population (male and female) in selected prisons was included in the study and a total of 504 valid questionnaires were returned (response rate of 81.3%). Findings indicate that reading is the respondents’ most popular leisure activity and that they read more now than before coming to prison. Respondents read more fiction than non-fiction. Most frequently they read crime novels, thrillers, and historical novels. To a lesser degree, they read religious literature, biographies, spiritual novels, social problem novels, self-help, war novels, science fiction, erotic novels, romances, spy novels and horrors. Respondents would like to read daily newspapers and magazines, and books about sport, health, travel, computers, hobbies, cookbooks, etc. Respondents have wide reading interests (both in relation to fiction and non-fiction) but they do not have access to them in their prison library. Respondents reported that reading makes their life in prison easier and their time in prison passes faster with books. Only about a quarter of respondents are satisfied with their prison library collection. Almost a fifth of respondents does not visit the library at all because it does not have anything they would like to find there: newspapers, modern literature, non-fiction, reading material for visually impaired and computers.