Vietnam is a significant consumer of wildlife, particularly wild meat, in urban restaurant settings. To meet this demand, poaching of wildlife is widespread, threatening regional and international biodiversity. Previous interventions to tackle illegal and potentially unsustainable consumption of wild meat in Vietnam have generally focused on limiting supply. While critical, they have been impeded by a lack of resources, the presence of increasingly organised criminal networks and corruption. Attention is, therefore, turning to the consumer, but a paucity of research investigating consumer demand for wild meat will impede the creation of effective consumer-centred interventions. Here we used a mixed-methods research approach comprising a hypothetical choice modelling survey and qualitative interviews to explore the drivers of wild meat consumption and consumer preferences among residents of Ho Chi Minh City, Vietnam. Our findings indicate that demand for wild meat is heterogeneous and highly context specific. Wild-sourced, rare, and expensive wild meat-types are eaten by those situated towards the top of the societal hierarchy to convey wealth and status and are commonly consumed in lucrative business contexts. Cheaper, legal and farmed substitutes for wild-sourced meats are also consumed, but typically in more casual consumption or social drinking settings. We explore the implications of our results for current conservation interventions in Vietnam that attempt to tackle illegal and potentially unsustainable trade in and consumption of wild meat and detail how our research informs future consumer-centric conservation actions.
In this paper we examine whether proximity to market affects the extent and form of corporate environmental reporting of companies listed in the FTSE 250. The reason for examining this issue is that it is frequently asserted, but not demonstrated, that closeness to market will correlate positively with proactive communication of environmental activities. Our results show that this assertion is, in particular reporting contexts, true. In particular, we find that companies who are close to market, or are brand-name companies, are highly likely to adopt one of the several forms of environmental reporting considered (particularly reporting on product life-cycle or supply chain and reporting through the BitC benchmark system). We also show that companies proximate to market are more likely to be the target of media attention, but are unable within the bounds of the research to assess whether this is a cause of increased environmental reporting or an effect of it.
Despite the growing use of country of origin (CoO) information and labels on food, the extent to which consumers really value this information is unclear. In an effort to understand this issue we present results of a hypothetical discrete choice experiment examining consumer willingness-topay for CoO information about meat and meat products. Our results reveal that CoO information is positively valued for all the food products we consider. However, it is relatively less important compared to other food attributes for a large number of products such as bacon, pizza and ready meals. Our results suggest that consumers do not value very highly CoO information for many of the food products examined. Therefore, if the associated costs of mandatory CoO implementation are sufficiently high this raises questions about the inclusion of this information on food labels.
Much of the existing literature in the area of food and consumer behavior concerns consumer evaluation of individual products. However, obesity and other food‐related health conditions typically occur as a result of poor diets and lifestyle, rather than poor individual product choices. As consumers, we generally have an imperfect understanding of our diet and lifestyle and use heuristics to process complex diet and lifestyle information. Increasingly, as ubiquitous computing applications in the area of food and consumption proliferate a number of questions arise about how consumers are using these technologies to assist them in processing their diet and lifestyle information. This article addresses this juncture by integrating streams of research in food consumption, information processing, and technology adoption to better understand consumer interaction with Digital Health Technologies (DHTs) to assist in information processing. As this represents a relatively new stream of research in an area of growing importance, the article develops a conceptual framework about consumer interaction with DHTs and identifies a number of pertinent questions for future research to examine.
In this article we employ a hypothetical discrete choice experiment (DCE) to examine how much consumers are willing to pay to use technology to customize their food shopping. We conjecture that customized information provision can aid in the composition of a healthier shop. Our results reveal that consumers are prepared to pay relatively more for individual speci…c information as opposed to generic nutritional information that is typically provided on food labels. In arriving at these results we have examined various model speci…cations including those that make use of ex-post de-brie…ng questions on attribute non-attendance and attribute ranking information and those that consider the time taken to complete the survey. Our main results are robust to the various model speci…cations we examine.
This study examined which characteristics of dogs available at a large rehoming organization in the United Kingdom influenced prospective adopters' choices. The revealed preference data used to model "consumer" choice were from the Dogs Trust rehoming web pages. The analysis of the probability of adoption involved a logistic regression model with multiple imputation. The factors that had a significant impact on the adopters' choices were age, size, pedigree status, coat length, behavior (e.g., fearfulness, adjustment issues), friendliness (toward children, dogs, and other pets), and training. This study offers a quantitative analysis of adopters' preferences that could prove to be useful for shelter personnel and researchers interested in the analysis of companion animal markets.
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