How Media Coverage of Corporate Social Irresponsibility Increases Financial Risk

Research summary: This article explores the relationship between corporate social irresponsibility (CSI) and financial risk. We posit that media coverage of CSI generates risk by providing conditions that increase the potential for stakeholder sanctions. Through analyzing an international panel of 539 firms during 2008–2013, we find that firms receiving higher CSI coverage face higher financial risk. We show that the reach of the reporting media outlet is a critical condition for this relationship. Once the outlet has a high reach, the severity of CSI coverage is a boundary condition that further reinforces the effect. Our findings complement existing theory about the risk‐mitigating effect of corporate social responsibility by illuminating the risk‐generating effect of CSI coverage. For executives, these insights suggest complementary strategies for corporate risk management. Managerial summary: This article examines the effect of negative news on financial risk. It shows that negative media articles regarding environmental, social, and governance (ESG) issues increase a firm's credit risk. It also provides a detailed analysis of the impact of an article's reach and severity, i.e., how many readers are exposed to the article and how harshly it criticizes the firm. The results allow to quantitatively assess the risk that emanates from negative ESG news. For executives, three strategies are derived for limiting a firm's exposure to this risk: balancing corporate social responsibility programs with operational safety programs, reporting suboptimal environmental and social performance transparently and proactively, and avoiding acquisition targets and markets with a legacy of negative news. Copyright © 2017 John Wiley & Sons, Ltd.     

An empirical model of attendance factors at major sporting events

Sports events represent a major category of event revenue contributing economic benefits to cities and regions. Whilst attendance at sports events is recognised as an important leisure and entertainment activity (Shamir and Ruskin, 1984), over the past 20 years sports event attendance expenditure has been declining as a percentage of total recreation expenditure (Ross, 2006). Consequently, an understanding of the factors that influence sports event attendance is crucial to the sustainability of these events. This study identifies the antecedents of sports event attendance among 460 respondents who were surveyed in Melbourne, a city that was recognised as the Ultimate Sports City in 2008 (Church-Sanders, 2008). Structural Equation Modelling was used to create an empirical model of attendance motivations. The model identifies constructs relating to emotional responses and facilities, as the predictors of event attendance and provides a discussion of the implications of this research for sporting event and hospitality managers.     

The Tunisia Wheat Market in the Context of World Price Volatility: A Stochastic Partial Equilibrium Approach

Food security is a key objective of agricultural and food policy in Tunisia. The 2007–2008 food crisis highlighted the negative impacts of price volatility on international markets both in terms of food insecurity and budget exposure. Tunisian food subsidy expenditures ranged from $180 million to $710 million in 2006–2010, so volatile world prices meant volatile subsidy costs. Moreover, cereal production in Tunisia still has much instability due to climate conditions, which also influences imports and, consequently, subsidy expenditures. This study applies a structural model to conduct stochastic analyses of trade and policy impacts on food security and budget expenditures in the Tunisian wheat market. The methodology disaggregates durum wheat and soft wheat markets and generates projections of import prices of durum wheat and soft wheat, using projections of world prices provided by the Food and Agricultural Policy Research Institute at University of Missouri (FAPRI-MU). The key innovation is the generated stochastic analyses of subsidy costs based on stochastic world price projections and stochastic domestic wheat yields based on historic yield variances. The analysis highlights the sensitivity of subsidy costs to world prices, volumes imported and domestic production, so that alternative policy tools can be considered.