Living standards shape individual attitudes on genetically modified food around the world
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DOI: 10.31219/osf.io/kqdje
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References listed on IDEAS
- Jerome S. Legge Jr. & Robert F. Durant, 2010. "Public Opinion, Risk Assessment, and Biotechnology: Lessons from Attitudes toward Genetically Modified Foods in the European Union," Review of Policy Research, Policy Studies Organization, vol. 27(1), pages 59-76, January.
- Daniel P. Bebber & Mark A. T. Ramotowski & Sarah J. Gurr, 2013. "Crop pests and pathogens move polewards in a warming world," Nature Climate Change, Nature, vol. 3(11), pages 985-988, November.
- Ajay Agrawal & Joshua Gans & Avi Goldfarb, 2019. "The Economics of Artificial Intelligence: An Agenda," NBER Books, National Bureau of Economic Research, Inc, number agra-1, January.
- Agrawal, Ajay & Gans, Joshua & Goldfarb, Avi (ed.), 2019. "The Economics of Artificial Intelligence," National Bureau of Economic Research Books, University of Chicago Press, number 9780226613338.
- Aerni, Philipp & Bernauer, Thomas, 2006. "Stakeholder attitudes toward GMOs in the Philippines, Mexico, and South Africa: The issue of public trust," World Development, Elsevier, vol. 34(3), pages 557-575, March.
- Heidi Ledford, 2019. "Gene-edited animal creators look beyond US market," Nature, Nature, vol. 566(7745), pages 433-434, February.
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This paper has been announced in the following NEP Reports:- NEP-AGR-2021-05-17 (Agricultural Economics)
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