2012
DOI: 10.1089/sus.2012.9925
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Measuring the Longitudinal Effects of Food Carbon Footprint Training on Consumers: Knowledge, Attitudes, and Behavioral Intentions

Abstract: Although the supply chains through which foods are produced, processed, and transported can have a significant impact on carbon dioxide (CO 2) emissions, consumers are largely unaware of how their food choices may impact the environment. Based on a previous related study, 1 we hypothesized that a web-based training process could increase consumer knowledge and perhaps influence consumer behavior longitudinally. To test this, food distribution networks were modeled and analyzed to determine CO 2 footprints for … Show more

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Cited by 9 publications
(6 citation statements)
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“…Product knowledge positively influences attitudes ( β =0.10, t -value=2.81, p <0.01) and intentions ( β =0.13, t -value=3.66, p <0.001). Hence, H6a and H6b were accepted; the results are consistent with previous studies (McEachern and Warnaby, 2008; Lin, 2009; Wikoff et al , 2012; Cho et al , 2013). PCE has a positive influence on attitudes ( β =0.84, t -value=14.56, p <0.001) and no influence on intentions ( β =0.02, t -value=0.16, p >0.05).…”
Section: Data Analysis Resultssupporting
confidence: 91%
“…Product knowledge positively influences attitudes ( β =0.10, t -value=2.81, p <0.01) and intentions ( β =0.13, t -value=3.66, p <0.001). Hence, H6a and H6b were accepted; the results are consistent with previous studies (McEachern and Warnaby, 2008; Lin, 2009; Wikoff et al , 2012; Cho et al , 2013). PCE has a positive influence on attitudes ( β =0.84, t -value=14.56, p <0.001) and no influence on intentions ( β =0.02, t -value=0.16, p >0.05).…”
Section: Data Analysis Resultssupporting
confidence: 91%
“…Related footprint work on potatoes and minced beef (Peschel et al 2016) has tried to explore how well-informed respondents consider themselves to be about ways to reduce carbon emissions and water usage. Other work has highlighted the importance of educating consumers with regard to carbon footprints (Wikoff, Rainbolt, & Wakeland, 2012;Upham et al 2010).…”
Section: Utility Estimates Of Latent Classes: Characterization Of Susmentioning
confidence: 99%
“…This leads to substantial 155 correlation between both types of knowledge (Brucks, 1985;Raju, et al, 1995), although this 156 was found to be stronger for products relative to non-products (e.g., financial or medical 157 services) and public relative to private goods (Carlson, et al, 2009 regard to carbon footprint information was shown to increase intentions to purchase products 165 with a lower carbon impact (Wikoff, Rainbolt, & Wakeland, 2012).…”
mentioning
confidence: 99%