Is the Retail Gasoline Market Local or National?

This paper studies the effect of station density on prices in the retail gasoline market in the Czech Republic. We estimate the impact of the number of competing stations in various driving-distance ranges around each station on prices. We find that station density has a negative effect on prices; the effect decreases with distance and is statistically significant up to six kilometers. This suggests that the retail gasoline market is local rather than national.     

Regulation of Labour Markets in the European Union

EU regulation of labour markets under the Social Charter and Protocol to improve 'employment rights' may appear loudable but can prove costly for firms. Mandates will probably make the unskilled more difficult to employ.     

Making the ‘Invisible’ Visible: Redevelopment‐induced Displacement of Migrants in Shenzhen,China

Gentrification in China is intertwined with urban redevelopment, which causes the large‐scale displacement of rural–urban migrants from ‘villages in the city’ (ViCs). Because of the informality of ViCs, migrant renters have very insecure tenancy and during redevelopment they are treated as a negligible (‘invisible’) social group. As they are very difficult to locate after displacement, they are also literally invisible to researchers. To make the invisible visible, this study traced a sample of displaced migrants from Huangbeiling village in Shenzhen. The focus was on the displacement process and on identifying the consequences for the displaced. We found various forms of displacement during the redevelopment process. Nearby ViCs were prioritized by displaced migrants to minimize as much utility loss as possible. However, they generally suffer from decreased proximity, increased living costs, and the loss of social networks and job opportunities. Remarkably, some choose to return to the gentrifying village, enduring displacement in situ caused by increasing rents, drastic physical neighbourhood changes and declining liveability, in exchange for retaining their original social and economic networks. Large‐scale urban redevelopment is causing the rapid shrinkage of informal housing. Recognizing and addressing the housing needs of this impoverished social group is a matter of urgency.     

Pricing European Options by Numerical Replication: Quadratic Programming with Constraints

The paper considers a regression approach to pricing European options in an incomplete market. The algorithm replicates an option by a portfolio consisting of the underlying security and a risk-free bond. We apply linear regression framework and quadratic programming with linear constraints (input = sample paths of underlying security; output = table of option prices as a function of time and price of the underlying security). We populate the model with historical prices of the underlying security (possibly massaged to the present volatility) or with Monte Carlo simulated prices. Risk neutral processes or probabilities are not needed in this framework.     

Financial prediction with constrained tail risk

A new class of asymmetric loss functions derived from the least absolute deviations or least squares loss with a constraint on the mean of one tail of the residual error distribution, is introduced for analyzing financial data. Motivated by risk management principles, the primary intent is to provide “cautious” forecasts under uncertainty. The net effect on fitted models is to shape the residuals so that on average only a prespecified proportion of predictions tend to fall above or below a desired threshold. The loss functions are reformulated as objective functions in the context of parameter estimation for linear regression models, and it is demonstrated how optimization can be implemented via linear programming. The method is a competitor of quantile regression, but is more flexible and broader in scope. An application is illustrated on prediction of NDX and SPX index returns data, while controlling the magnitude of a fraction of worst losses.     

Decomposing Local: A Conjoint Analysis of Locally Produced Foods

Increasingly, foods are marketed as "locally grown." We use stated preference data from a choice-based conjoint instrument to address two issues surrounding consumer demand for locally produced goods: (1) what is the geographical extent of "local," and (2) is the value consumers place on "local" production distinct from other factors that are often confounded with locally produced foods such as farm size and product freshness? We find our subjects place similar value on products produced "in state" and "nearby" and that consumers' willingness to pay for local production is independent from values associated with product freshness and farm size.     

Corporate Social Responsibility: Exploring Stakeholder Relationships and Programme Reporting across Leading FTSE Companies

Although it is now widely recognised by business leaders that their companies need to accept a broader responsibility than short-term profits, recent research suggests that as corporate social responsibility (CSR) and social reporting become more widespread, there is little empirical evidence of the range of stakeholders addressed through their CSR programmes and how such programmes are reported. Through a CSR framework which was developed in an exploratory study, we explore the nature of stakeholder relationships reported across leading FTSE companies and the importance they attach to communicating both social and business outcomes. It is evident from the hypotheses tested that the bigger FTSE companies, particularly extraction companies and telecoms, are more adept at identifying and prioritising their stakeholders, and linking CSR programmes to business and social outcomes. However, we draw the general conclusion that building stronger stakeholder relationships through CSR programmes – other than with customers – is not currently a priority for most companies. We also conclude that a limited sophistication in managing multiple stakeholders may compromise the impact of CSR upon business and social results. Finally, the managerial implications and the contribution of our study are discussed before closing with an acknowledgement of the limitations of this work and suggestions for further research.     

Feelings that Make a Difference: How Guilt and Pride Convince Consumers of the Effectiveness of Sustainable Consumption Choices

A significant body of research concludes that stable beliefs of perceived consumer effectiveness lead to sustainable consumption choices. Consumers who believe that their decisions can significantly affect environmental and social issues are more likely to behave sustainably. Little is known, however, about how perceived consumer effectiveness can be increased. We find that feelings of guilt and pride, activated by a single consumption episode, can regulate sustainable consumption by affecting consumers’ general perception of effectiveness. This paper demonstrates the impact that guilt and pride have on perceived consumer effectiveness and shows how this effect rests on the ability of these emotions to influence perceptions of agency. After experiencing guilt or pride, consumers see themselves as the cause of relevant sustainability outcomes. The process of causal attribution associated with these emotions influences consumers’ use of neutralization techniques. Through the reduction in consumers’ ability to neutralize their sense of personal responsibility, guilt and pride positively influence perceived consumer effectiveness. The inability to rationalize-away their personal responsibility, persuades consumers that they affect sustainability outcomes through their decisions. The research advances our understanding of sustainable consumption and identifies a new avenue for the regulation of individual consumer behavior that has significant implications for the development of sustainable marketing initiatives.