Food scare crises and developing countries: The impact of avian influenza on vertical price transmission in the Egyptian poultry sector

A bivariate smooth transition vector error correction model is applied to monthly poultry price data to analyze the effects that avian influenza has had on price transmission along the Egyptian poultry marketing chain. In order to reflect consumer awareness of the crisis, an avian influenza food scare information index is developed and used within the model as a transition variable. Our results suggest that price adjustments to deviations from the market equilibrium parity depend on the magnitude of the avian influenza crisis. Further these adjustments are found to have very different implications for market equilibrium: during the crisis retailers use their market power to increase marketing margins. In contrast, wholesaler margins are found to decline. Results also suggest that food safety information indices contribute to understanding the economic effects of food scare crises in developing countries.     

Price transmission in the Spanish bovine sector: the BSE effect

A regime-switching vector error correction model is applied to monthly price data to assess the impact of Bovine Spongiform Encephalopathy (BSE) outbreaks on price relationships and patterns of transmission among farm and retail markets for bovines in Spain. To evaluate the degree to which price transmission is affected by BSE food scares, a BSE food scare index is developed and used to determine regime switching. Results suggest that BSE scares affect beef producers and retailers differently. Consumer prices are found to be weakly exogenous and not found to react to BSE scares, while producer prices are conversely adjusted. The magnitude of the adjustment is found to depend on the magnitude of the BSE scare.     

Measuring technical efficiency of Spanish pig farming: Quantile stochastic frontier approach

The pig meat production plays a significant role in the Spanish agrofood system. The assessment of the efficiency performance with which farmers are operating is necessary to define adequate policy and management strategies. In this context, this study aimed to determine the technical efficiency (TE) performance of pig farms and to examine the key factors that may affect the production system in Spain. To do so, the analysis relies on the quantile stochastic frontier model using a sample of Spanish pig farms. Results show a significant difference between production frontier parameters across the selected quantiles, which support the relevance of using the quantile regression approach. The optimal quantile for the stochastic frontier indicates an average TE level of 75%. In addition, empirical findings suggest that pig farmers in Spain give more importance to the adoption of high technology to improve their economic and technical performance as well as their competitiveness at the European pig market.