Implementing COOL: Comparative welfare effects of different labeling schemes

Joseph, Siny; Lavoie, Nathalie; Caswell, Julie A.

doi:10.1016/j.foodpol.2013.10.008

Cited by 9 publications

(9 citation statements)

References 21 publications

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“…For readers interested in a theoretical examination of CoO the recent papers by Roe et al (2014) and Bonroy and Constantatos (2015) provide excellent summaries. For research on market level impacts and resulting welfare implications for consumers and manufacturers from the introduction of mandatory CoO, Awada and Yiannaka (2012), Baltussen et al (2013), Joseph et al (2014) and USDA (2015) offer informative and insightful analysis.…”

Section: The Economics Of Coomentioning

confidence: 99%

Consumer preferences regarding country of origin for multiple meat products

Balcombe

Bradley²,

Fraser

et al. 2016

Food Policy

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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.

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Section: The Economics Of Coomentioning

confidence: 99%

Consumer preferences regarding country of origin for multiple meat products

Balcombe

Bradley²,

Fraser

et al. 2016

Food Policy

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“…Using an analytical model, Joseph et al. () explore how the absence of COOL for goods imported via foodservice channels can undermine policy goals as importers may choose to shift imports to nonlabeled channels to minimize consumer stigma. Our work also continues an older tradition in the literature of understanding how consumers evaluate nonfood products with “hybrid” origins, for example, how U.S. consumers responded to electronics that were designed in the U.S. but made in Japan (Chao, ).…”

Section: Introductionmentioning

confidence: 99%

Country of origin labeling for complex supply chains: the case for labeling the location of different supply chain links

Bienenfeld

Botkins

Roe

et al. 2016

Agricultural Economics

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We investigate the value of a country of origin label (COOL) that separately identifies the geographic location of different stages in a food product's supply chain. We estimate the willingness-to-pay (WTP) of U.S. consumers for a packaged cereal product where the key grain ingredient may be grown in one country and processed in a second country (multicountry supply chain) and compare it to equivalent products that have both stages located in a single country. We find consumer WTP for products with single-country and multicountry supply chains are statistically different, meaning that simplifying a multicountry label by listing only the country where the ingredients are grown or only the country where the ingredients are processed can result in different consumer values. We also find that for countries with a poor quality reputation, consumers respond more negatively when that country has the "last touch" than when that country's involvement is limited to upstream supply chain links.JEL classifications: D12, D82, Q18

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“…Opponents are of the opinion that the labeling law is a protectionist measure, supported by distorted expectations of the quality of products imported. They find the labeling process expensive and complicated [ 40 ].…”

Section: Introductionmentioning

confidence: 99%

“…Appropriate measurement methods are required to answer these questions in order to assess the value that consumers attach to information on traceability, but also to inform industry about market demand [ 18 ]. This would have significant consequences for public policy formulation [ 40 ]…”

Section: Introductionmentioning

confidence: 99%

Knowledge, Utility, and Preferences for Beef Label Traceability Information: A Cross-Cultural Market Analysis Comparing Spain and Brazil

Magalhães

Maza

2021

Foods

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The consumer environment determines consumers’ buying behavior and product preferences, and understanding these factors allows businesses in the industry to identify market demands. In view of the different contexts, Spain and Brazil, there are differences in the consumption of beef, in the production and the regulatory process concerning beef, and in particular the traceability system. The traceability system is mandatory in Spain and voluntary in Brazil. From these prerogatives, this cross-cultural study carried out through a self-administered questionnaire with 2132 Spanish and Brazilian beef buyers/consumers, aimed at comparing and understanding the familiarity with the bovine traceability system and traceability information of the label as a food security indicator. It is concluded that traceability information is well received by consumers as an attribute of credibility, and consumers are interested in ensuring that the item they buy is of known and reliable origin. But more incentives may help clarify the advantages of purchasing food with certified traceability, making it more effective for consumers to use this knowledge.

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Implementing COOL: Comparative welfare effects of different labeling schemes

Cited by 9 publications

References 21 publications

Consumer preferences regarding country of origin for multiple meat products

Consumer preferences regarding country of origin for multiple meat products

Country of origin labeling for complex supply chains: the case for labeling the location of different supply chain links

Knowledge, Utility, and Preferences for Beef Label Traceability Information: A Cross-Cultural Market Analysis Comparing Spain and Brazil

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