Sustainability reporting patterns of companies listed on the Johannesburg securities exchange

The demand by stakeholders for information about companies’ social and environmental performance has led to sustainability reporting becoming essential. The Global Reporting Initiative (GRI) guidelines are the international reporting standard whereas the Johannesburg Securities Exchange Socially Responsible Investment (JSE SRI) Index guidelines are used in South Africa. Although South Africa is regarded as one of the leaders in sustainability reporting in the world, the JSE SRI Index is still a relatively new standard and its efficiency will only be proved over time. The research on which this paper is based, determined whether reporting patterns exist across specific market sectors of the sustainability reports of companies listed on the JSE in order to establish if the JSE SRI Index guidelines on reporting are efficient. Results indicated that all the selected market sectors reported on the environment, society and governance (ESG) categories as per requirements of the JSE SRI Index. The mining and materials sector reported more in the environment and the society categories than the other sectors, while in the governance category less reporting on indirect impacts by all the sectors was noted. The implication of this is that in general, companies find the JSE SRI Index guidelines on reporting easy to implement. However, less reporting of companies’ indirect impacts on their operating environments could mean that there is still a lack of completeness and transparency from the companies’ reports, which could be as a result of a lack of firmer guidelines by the JSE SRI Index guidelines on reporting of such issues.     

A distribution-sensitive examination of the gender wage gap in Germany

This paper provides a new examination of the gender pay gap for Germany based on a family of distribution-sensitive indicators. Wage distributions for men and women do not only differ by a fixed constant; differences are more complex. We show that focusing on the bottom of the wage distribution reveals a larger gender gap. Our distribution-sensitive analysis can also be used to study whether the statistical disadvantage of women in average pay might be ‘offset’ by lower inequality. Over a broad range of plausible preferences over inequality, we show however that ‘inequality-adjusted’ estimates of the gap can be up to three times higher than standard inequality-neutral measures in Eastern Germany and up to fifty percent higher in Western Germany. Using preference parameters elicited from a hypothetical risky investment question in our sample, inequality-adjusted gender gap measures turn out to be close to those upper bounds.     

Trading Later Rewards for Current Pleasure: Pornography Consumption and Delay Discounting

Internet pornography is a multi-billion-dollar industry that has grown increasingly accessible. Delay discounting involves devaluing larger, later rewards in favor of smaller, more immediate rewards. The constant novelty and primacy of sexual stimuli as particularly strong natural rewards make Internet pornography a unique activator of the brain's reward system, thereby having implications for decision-making processes. Based on theoretical studies of evolutionary psychology and neuroeconomics, two studies tested the hypothesis that consuming Internet pornography would relate to higher rates of delay discounting. Study 1 used a longitudinal design. Participants completed a pornography use questionnaire and a delay discounting task at Time 1 and then again four weeks later. Participants reporting higher initial pornography use demonstrated a higher delay discounting rate at Time 2, controlling for initial delay discounting. Study 2 tested for causality with an experimental design. Participants were randomly assigned to abstain from either their favorite food or pornography for three weeks. Participants who abstained from pornography use demonstrated lower delay discounting than participants who abstained from their favorite food. The finding suggests that Internet pornography is a sexual reward that contributes to delay discounting differently than other natural rewards. Theoretical and clinical implications of these studies are highlighted.     

Adaptation and Evaluation of a Nonviolent Resistance Intervention for Foster Parents: A Progress Report

Foster care faces serious challenges, such as behavioral problems in foster children and parental stress and ineffective parenting behavior in foster parents. The results of a pilot study that evaluated a training program for foster parents based on nonviolent resistance are described. In a pretest–posttest design, data were collected from 25 families. Significant reductions in externalizing, internalizing, and total problem behavior in the foster children and in parenting stress were found. Using a reliable change index, significant improvements in externalizing, internalizing, and total problem behavior were found in, respectively, 72, 44, and 80% of the cases. Most improvements proved to be clinically relevant. Effect sizes ranged from medium to large for problem behavior, and from small to medium for parenting stress.     

Review Essay

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations -     

Linking Childhood Maltreatment With Girls' Internalizing Symptoms: Early Puberty as a Tipping Point

Earlier physical maturation may often be preceded by a range of adversities and life stressors. This study investigates childhood maltreatment, internalizing symptoms, and pubertal timing in girls residing in foster care (N = 100, M = 11.54 years old at Time 1). Girls were assessed at two time points 2 years apart. There were no direct effects of maltreatment on internalizing symptoms; rather, childhood sexual abuse predicted earlier pubertal development which, in turn, was associated with higher levels of internalizing symptoms concurrently and longitudinally. This distinctive role for early pubertal timing suggests that the heightened sexual circumstances of puberty may be especially disturbing for girls whose lives have already been disrupted by inappropriate and unwanted sexual experiences.     

I disagree,therefore I am: how to test and strengthen cultural versatility

In the last few decades, a perspective on how to resolve wicked social problems has become increasingly prominent: the cultural theory pioneered by anthropologist Dame Mary Douglas. So far, the empirical evidence garnered in support of this approach has mostly been of a qualitative nature. Cultural theory has fared less well in survey-based, statistical tests. However, several features make it hard to test the theory with questionnaires. We overcome this research dilemma by showing how cultural theory can be tested with observational and experimental tests developed in cross-cultural psychology. We argue that this is possible due to the remarkable overlap between concepts and theories in cross-cultural psychology and Douglas' approach. We present five research designs that add up to a rigorous test of cultural theory. Finally, we sketch some contributions that cultural theory could make to the further development of cross-cultural psychology, as well as to efforts to resolve wicked problems, if it were thus confirmed.     

Evaluation of Laplace distribution-based ANOVA models applied to microarray data

In a microarray experiment, intensity measurements tend to vary due to various systematic and random effects, which enter at the different stages of the measurement process. Common test statistics do not take these effects into account. An alternative is to use, for example, ANOVA models. In many cases, we can, however, not make the assumption of normally distributed error terms. Purdom and Holmes [6 Purdom, E. and Holmes, S. P. 2005. Error distribution for gene expression data. Stat. Appl. Genet. Mol. Biol., 4(1) article 16 [Google Scholar]] have concluded that the distribution of microarray intensity measurements can often be better approximated by a Laplace distribution. In this paper, we consider the analysis of microarray data by using ANOVA models under the assumption of Laplace-distributed error terms. We explain the methodology and discuss problems related to fitting of this type of models. In addition to evaluating the models using several real-life microarray experiments, we conduct a simulation study to investigate different aspects of the models in detail. We find that, while the normal model is less sensitive to model misspecifications, the Laplace model has more power when the data are truly Laplace distributed. However, in the latter situation, neither of the models is able to control the false discovery rate at the pre-specified significance level. This problem is most likely related to sample size issues.