Supermarkets in Low‐income Mediterranean Countries: Impacts on Horticulture Systems

In the past decade, supermarkets have spread rapidly in the low‐income Mediterranean countries. Focusing on a case of advanced supermarket diffusion (Turkey) and of incipient diffusion (Morocco), this article examines this development and its impact on the fresh fruits and vegetable sector, emphasising the level of backward integration by the retailers into the supply chain and the type of retailer‐supplier governance structure. Both countries' food sectors resemble those of Central and Eastern Europe (CEE) transition countries in their shift from a mixed traditional/staterun/owned retail system to a liberalised system. Moreover, Turkey is also on the road to joining the European Union, and is classed in policy discussions with the CEE candidates.     

Response to Ermisch, Martin, and Wu

Our recent paper in Demography (Gray, Stockard, and Stone 2006) has attracted the close scrutiny of several prominent academics. Three sets of formal comments, authored independently by Ermisch, Martin, and Wu (EMW), appear in this issue of Demography. In this response we argue that the analysis and evidence of our 2006 paper have withstood the scrutiny of EMW. In particular, we find that a substantial part of the rising share of nonmarital births since 1970 is due to a selection effect associated with marriage. This same selection effect also explains how birth rates could rise in both groups, even though their combined birth rate did not. In sum, though we appreciate the opportunity to expand on several key aspects of our 2006 article, we see no reason to substantially revise any of our major conclusions based on the EMW comments.     

Bias-reduced extreme quantile estimators of Weibull tail-distributions

In this paper, we consider the problem of estimating an extreme quantile of a Weibull tail-distribution. The new extreme quantile estimator has a reduced bias compared to the more classical ones proposed in the literature. It is based on an exponential regression model that was introduced in Diebolt et al. [2007. Bias-reduced estimators of the Weibull-tail coefficient. Test, to appear]. The asymptotic normality of the extreme quantile estimator is established. We also introduce an adaptive selection procedure to determine the number of upper order statistics to be used. A simulation study as well as an application to a real data set is provided in order to prove the efficiency of the above-mentioned methods.     

Quantitative Risk Assessment from Farm to Fork and Beyond: A Global Bayesian Approach Concerning Food-Borne Diseases

A novel approach to the quantitative assessment of food-borne risks is proposed. The basic idea is to use Bayesian techniques in two distinct steps: first by constructing a stochastic core model via a Bayesian network based on expert knowledge, and second, using the data available to improve this knowledge. Unlike the Monte Carlo simulation approach as commonly used in quantitative assessment of food-borne risks where data sets are used independently in each module, our consistent procedure incorporates information conveyed by data throughout the chain. It allows "back-calculation" in the food chain model, together with the use of data obtained "downstream" in the food chain. Moreover, the expert knowledge is introduced more simply and consistently than with classical statistical methods. Other advantages of this approach include the clear framework of an iterative learning process, considerable flexibility enabling the use of heterogeneous data, and a justified method to explore the effects of variability and uncertainty. As an illustration, we present an estimation of the probability of contracting a campylobacteriosis as a result of broiler contamination, from the standpoint of quantitative risk assessment. Although the model thus constructed is oversimplified, it clarifies the principles and properties of the method proposed, which demonstrates its ability to deal with quite complex situations and provides a useful basis for further discussions with different experts in the food chain.     

Testing the Cultural Theory of Risk in France

Cultural Theory, as developed by Mary Douglas, argues that differing risk perceptions can be explained by reference to four distinct cultural biases: hierarchy, egalitarianism, individualism, and fatalism. This paper presents empirical results from a quantitative survey based on a questionnaire devised by Karl Dake to measure these cultural biases. A large representative sample (N = 1022) was used to test this instrument in the French social context. Correlations between cultural biases and perceptions of 20 social and environmental risks were examined. These correlations were very weak, but were statistically significant: cultural biases explained 6%, at most, of the variance in risk perceptions. Standard sociodemographic variables were also weakly related to risk perceptions (especially gender, social class, and education), and cultural biases and sociodemographic variables were themselves inter correlated (especially with age, social class, and political outlook). The authors compare these results with surveys conducted in other countries using the same instrument and conclude that new methods, more qualitative and contextual, still need to be developed to investigate the cultural dimensions of risk perceptions. The paper also discusses relationships between perceptions of personal and residual risk, and between perceived risk and demand for additional safety measures. These three dimensions were generally closely related, but interesting differences were observed for some risk issues.     

Indigenous Elder Insights About Conventional Care Services in Alaska: Culturally Charged Spaces

Indigenous peoples around the world endure health and social disparities. In the United States, such disparities are typically ameliorated through conventional care services and organizations. Purpose: To examine points of tension that characterize culturally pluralistic care services in the United States, specifically Alaska, within context of Indigenous colonial histories. Design and Methods: The research design is ethnographic and multisited, comprising 12 months of fieldwork across urban, rural and remote village sites in Alaska. A conceptual lens that accounts for culturally diverse social spaces where relations of power are at stake frames research presented here. This work incorporates relational and participatory action research principles with Alaska Native Elders. Ethnographic evidence was collected through multiple methods, including field notes, documents, and interviews, with ethnographic analysis involving atlas.ti. Findings: Alaska Native Elders describe salient points of tension characterizing Alaska’s conventional care services through the following insights: generational curses-—a pain, prejudice on both sides—wounded, and value-systems clash—fighting. Conclusion: This article concludes with discussion about collective anxieties and implications for care services.