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51.
A calibrated model is used to determine the welfare impacts of various regulatory instruments for improving health. The results of a lab experiment are integrated in a partial equilibrium model representing demands for two kinds of fish, one with higher nutritional benefits (canned sardines) and one with higher contamination risks (canned tuna) in France. In the laboratory, information about health effects leads to a statistically significant decrease (increase) in the willingness to pay for tuna (sardines). Simulations with the laboratory results show that, for most cases, a per-unit tax on tuna and a per-unit subsidy on sardines without any information revealed to consumers lead to the highest welfare, because both the tax and subsidy directly internalize health characteristics. The information policy combined with a per-unit tax on tuna and a per-unit subsidy on sardines is socially profitable only if a large proportion of consumers (greater than 95%) receives health information.   相似文献   
52.
Using the example of the hashtag #veganuary, a neologism of vegan and January, on Twitter with over 52,000 tweets from 2022, this article shows how Social Media Analytics can provide valuable insights into timing, volume and sentiment within any emerging (consumer) trend. Social Media Analytics is increasingly being used for the analysis of Social Media data. Whether consumers, politicians or entrepreneurs, all stakeholders in the food value chain are present on Social Media and talk about various trends in food and agriculture. In the form of an overview article, this contribution uses the example of the Vegan Challenge to demonstrate how a combination of the manifold methods of Social Media Analytics can provide extensive insights into the public discourse on food topics. It shows that #veganuary communication on Twitter has a predominantly positive connotation in the discussion of all stakeholders involved. The Vegan Challenge can also be categorised as a strong marketing campaign with a competitive character. #veganuary is commonly discussed on Twitter in tweets related to topics, such as veganism and the climate crisis. We argue that Social Media Analytics usefully extends classical analytical tools of consumer research on emerging and spreading food trends, and offers opportunities for many research studies.  相似文献   
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