Extrapolating understanding of food risk perceptions to emerging food safety cases

Important determinants of risk perceptions associated with foods are the extent to which the potential hazards are perceived to have technological or naturally occurring origins, together with the acute vs. chronic dimension in which the potential hazard is presented (acute or chronic). This study presents a case study analysis based on an extensive literature review examining how these hazard characteristics affect people’s risk and benefit perceptions, and associated attitudes and behaviors. The cases include E. coli incidences (outbreaks linked to fresh spinach and fenugreek sprouts), contamination of fish by environmental pollutants, (organochlorine contaminants in farmed salmon), radioactive contamination of food following a nuclear accident (the Fukushima accident in Japan), and GM salmon destined for the human food chain. The analysis of the cases over the acute vs. chronic dimension suggests that longitudinal quantification of the relationship between risk perceptions and impacts is important for both acute and chronic food safety, but this has infrequently been applied to chronic hazards. Technologies applied to food production tend to potentially be associated with higher levels of risk perception, linked to perceptions that the risk is unnatural. However, for some risks (e.g. those involving biological irreversibility), moral or ethical concerns may be more important determinants of consumer responses than risk or benefit perceptions. (Lack of) trust has been highlighted in all of the cases suggesting transparent and honest risk–benefit communications following the occurrence of a food safety incident. Implications for optimizing associated risk communication strategies, additional research linking risk perception, and other quantitative measures, including comparisons in time and space, are suggested.     

The competitiveness situation of the EU meat processing and beverage manufacturing sectors

The status of competitiveness for the two most important food and beverage manufacturing sectors (meat processing and beverage manufacturing) in 13 EU countries is analysed empirically, using 1995-2002 Eurostat data. After a review of earlier agribusiness competitiveness studies, an industrial competitiveness index is proposed as a composite measure for multidimensional economic performance, covering profitability, productivity and output growth. The index approach enables relative competitiveness comparisons across industries, countries and over time. The results show that during 1999-2002, as compared to 1995-1998, for both sectors overall competitiveness in real terms slightly increased. At the same time, overall competitiveness also seems to have converged slightly across countries, implying that sector performance has become more similar. However, the two country rankings differ considerably, as do the change patterns during the analysed period.     

Targeting Export Support to SMEs: Owners' International Experience as a Segmentation Basis

This paper addresses the issue of how export support programs can be effectively targeted to SMEs. This paper argues that the normally low awareness and usage of export support programs among SME owners can be countered by segmentation based on their level of export experience. The paper develops a theoretical rationale for this segmentation basis and develops hypotheses related to it. The hypotheses are tested, and largely supported, using data from Canadian SME exporters and pre-exporters. Results indicate that segmentation based on owners' level of export experience can be an effective supplement to current segmentation bases. Implications of the results for providers of export support services are discussed in the concluding section.     

Competing Environmental Labels

We study markets in which consumers prefer green products but cannot determine the environmental quality of any given firm's product on their own. A nongovernmental organization (NGO) can establish a voluntary standard and label products that comply with it. Alternatively, industry can create its own standard and label. We compare the stringency of these two types of labels, and study their strategic interaction when they coexist. We find that even with error‐free labels, environmental benefits may be smaller with two labels than with the NGO label alone, and we characterize when label competition is more likely to be environmentally beneficial.     

General Bayesian time-varying parameter vector autoregressions for modeling government bond yields

US yield curve dynamics are subject to time-variation, but there is ambiguity about its precise form. This paper develops a vector autoregressive (VAR) model with time-varying parameters and stochastic volatility, which treats the nature of parameter dynamics as unknown. Coefficients can evolve according to a random walk, a Markov switching process, observed predictors, or depend on a mixture of these. To decide which form is supported by the data and to carry out model selection, we adopt Bayesian shrinkage priors. Our framework is applied to model the US yield curve. We show that the model forecasts well, and focus on selected in-sample features to analyze determinants of structural breaks in US yield curve dynamics.