ArticleFoods (Basel, Switzerland)2023
Would Altruistic Consumers Place A Higher Value on Sustainable Foods?
Article in Foods (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
0 citing papers in PubMed, 6 citations in OpenAlex.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
To advance sustainable food systems, it is necessary to explore consumer preferences and valuations of sustainable food labels. This study utilizes a discrete choice experiment to examine consumers' willingness to pay for various sustainable labels using a 12 oz ground coffee package and investigates the impact of altruism orientation on consumer valuation of sustainable coffee. The results from US consumers surveyed in spring 2020 indicate that the USDA organic claim commands the highest price premium, followed by the Carbon Trust and Fairtrade labels. Furthermore, individuals' altruism orientation positively and significantly influences their preference and willingness to pay for sustainable labels, with selfless individuals valuing them more. These findings offer insights into effectively promoting sustainable food consumption through targeting consumer subgroups and prioritizing fair trade and organic foods over newer green labels.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.