Environmental risk and the precautionary principle. “Late lessons from early warnings” applied to genetically modified plants
AbstractThe environmental risk associated with genetically modified organisms (GMO) implies that new approaches to risk assessment, risk management and risk communication are needed. In this paper we discuss the role of the precautionary principle in policy responses to GMO risk. We first discuss application of the criteria in the European Environment Agency report “Late lessons from early warnings: The precautionary principle 1896-2000” to environmental GMO risk, with focus on crop plants. Moreover, we discuss Bayesian analysis in the context of improving the informational basis for decision making under uncertainty. Finally, environmental uncertainties are intertwined with economic uncertainties. Providing incentives for improved risk assessment, risk management and risk communication is crucial for enhancing social and environmental responsibility and thereby facilitate implementation of precautionary approaches. We discuss ethical screening of companies as an example of how such incentives can be provided.
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Bibliographic InfoPaper provided by Research Department of Statistics Norway in its series Discussion Papers with number 398.
Date of creation: Dec 2004
Date of revision:
Environmental risk; precautionary principle; Bayesian analysis; genetically modified organisms.;
Find related papers by JEL classification:
- D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
- Q20 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - General
- Q50 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - General
This paper has been announced in the following NEP Reports:
- NEP-AGR-2005-02-13 (Agricultural Economics)
- NEP-ALL-2005-02-13 (All new papers)
- NEP-ENV-2005-02-13 (Environmental Economics)
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