VALUING BLUE FLAG STATUS AND ESTUARINE WATER QUALITY IN MARGATE,SOUTH AFRICA1

This study estimates the costs associated with reduced water quality and withdrawal of Blue Flag status in Margate, Kwazulu‐Natal, based on travel costs and contingent behaviour (reported change in visits contingent on a hypothetical scenario). Costs associated with hypothetical loss of Blue Flag status (based on reduced visits) range between R17 and R25 million per annum. Interestingly, Blue Flag status was withdrawn shortly after completion of the survey, owing to reduced water quality. This study therefore provides an estimate of the associated welfare losses, and of the benefits of actions to improve water quality and restore Blue Flag status.     

Do financial penalties for environmental violations facilitate improvements in corporate environmental performance? An empirical investigation

Environmental regulations play an essential role in managing firm behavior and providing a reference point for the minimum standards of corporate environmental performance, yet certain firms fail to ensure their environmental performance meets these standards. This research focuses on public firms that the US government has penalized for violating environmental regulations and investigates whether these firms subsequently improved their environmental performance. Surprisingly, neither the receipt of a penalty for an environmental violation nor the imposition of a greater penalty was associated with improvements in environmental performance. Instead, a penalty for environmental violation predicted further, albeit mild, deterioration in environmental performance. While the existing literature has established that financial penalties deter most firms from committing environmental violations, this research contributes to this literature by revealing that these penalties fail to motivate firms that have violated environmental regulations to improve their environmental performance.     

Wholesale market definition in telecommunications: The issue of wholesale broadband access

The scope of a wholesale market may, in addition to demand- and supply-side substitution at the wholesale level, also be determined by substitution patterns at the retail level. Considering wholesale broadband access markets, it is argued that each of these forces can be strong enough to render a 5–10% price increase by a hypothetical monopolist at the wholesale level unprofitable and thus may lead to a wider wholesale market definition including, for example, cable networks in addition to DSL. Based on the theory of derived demand elasticities the paper discusses under which circumstances this could be the case. The position of the European Commission and the practice of national regulatory authorities are then reviewed in light of these arguments.     

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On the choice of measures of reliability and validity in the content-analysis of texts

The paper discusses several reliability measures: Scott’s pi, Krippendorff’s alpha, free marginal adjustment (Bennett, Alpert and Goldstein’s \(S\) ), Cohen’s kappa, and Perreault and Leigh’s \(I\) and the assumptions on which they are based. It is suggested that correlation coefficients between, on one hand, the distribution of qualitative codes and, on the other hand, word co-occurrences and the distribution of the categories identified with the help of the dictionary based on substitution complement the other reliability measures. The paper shows that the choice of the reliability measure depends on the format of the text (stylistic versus rhetorical) and the type of reading (comprehension versus interpretation). Namely, Cohen’s kappa and Bennett, Alpert and Goldstein’s \(S\) emerge as reliability measures particularly suited for perspectival reading of rhetorical texts. Outcomes of the content analysis of 57 texts performed by four coders with the help of computer program QDA Miner inform the analysis.     

FIRM SIZE AND STOCK RETURNS: A QUANTITATIVE SURVEY

Firm size is commonly used in numerous empirical asset pricing models as a determinant of expected stock returns. Yet there is little consensus over the magnitude and stability of the size premium. In fact, some researchers even question whether firm size should be used as a pricing factor. We collect 1746 estimates of the slope coefficients capturing the association between firm size and stock returns reported in 102 published studies and conduct the first meta‐analysis on the size premium. We find evidence of a strong bias toward publishing statistically significant negative slope coefficients. After correcting for the bias, we find that the literature implies a difference in annual stock returns on the smallest and the largest New York Stock Exchange (NYSE) market capitalization quintiles of 1.72%. For the time periods covered in the sampled articles, we find that the size premium was larger in earlier years and that the intensity of publication bias has been decreasing over time.     

A variable threshold band approach to measuring market linkages

Uncertain and changing economic conditions can have substantial effects on price relationships in spatially separated, linked markets. Although numerous studies have analysed price relationships to characterize market linkage structures, most assume that the relationships and associated linkages are time invariant. This study extends the literature by modelling and estimating time-dependent market linkages that are conditional on changes in exogenous factors. The methodology is used to investigate price relationships in North Carolina (NC) corn and soya bean markets. Empirical results indicate that generalized market-linkage models provide a better representation of price relationships over time, improving the understanding of price discovery dynamics and marketing strategies.     

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