Identifying Drivers of Genetically Modified Seafood Demand: Evidence from a Choice Experiment
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Cited by:
- Smeele, Nicholas V.R. & Chorus, Caspar G. & Schermer, Maartje H.N. & de Bekker-Grob, Esther W., 2023. "Towards machine learning for moral choice analysis in health economics: A literature review and research agenda," Social Science & Medicine, Elsevier, vol. 326(C).
- Chloe S McCallum & Simone Cerroni & Daniel Derbyshire & W George Hutchinson & Rodolfo M Nayga, 2022. "Consumers’ responses to food fraud risks: an economic experiment," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 49(4), pages 942-969.
- Zheng, Qiujie & Nayga, Rodolfo M. Jr. & Yang, Wei & Tokunaga, Kanae, 2022. "Do U.S. consumers value genetically modified farmed salmon?," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322154, Agricultural and Applied Economics Association.
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Keywords
food labeling; machine learning; seafood; genetic modification; consumer preferences; risk perceptions; subjective knowledge; ambiguity aversion; choice experiment;All these keywords.
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