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Carbon Labeling for Consumer Food Goods AgEcon
Shewmake, Sharon; Okrent, Abigail M.; Thabrew, Lanka; Vandenbergh, Michael.
We construct a model to predict how consumers will respond to better information about the carbon content of 42 foods and a nonfood composite as well as product categories through a label, and provide guidance as to what kinds of goods would provide the highest CO¬2eq emission reductions through a labeling scheme. Our model assumes that consumers value their individual carbon footprint, allowing us to utilize estimates of own- and cross-price elasticities of demand from the literature on demand analysis. We make three different assumptions about how consumers currently value their carbon footprint and find that when a label informs consumers, their baseline perception matters. We also find that carbon labels on alcohol and meat would achieve the largest...
Tipo: Presentation Palavras-chave: Carbon emissions; Food labeling; Agricultural and Food Policy; Consumer/Household Economics; Demand and Price Analysis; Environmental Economics and Policy; Resource /Energy Economics and Policy; Q53; D83; Q18.
Ano: 2012 URL: http://purl.umn.edu/124369
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