Regulators as agents: modelling personality and power as evidence is brokered to support decisions on environmental risk

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2014-01-01T00:00:00Z

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Article

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1879-1026

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Free to read from

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G.J. Daviesa, G. Kendall, E. Soane, J. Li, S.A. Rocks, S.R. Jude, S.J.T. Pollard. Regulators as agents: modelling personality and power as evidence is brokered to support decisions on environmental risk. Science of The Total Environment. Volumes 466–467, 1 January 2014, Pages 74–83.

Abstract

Complex regulatory decisions about risk rely on the brokering of evidence between providers and recipients, and involve personality and power relationships that influence the confidence that recipients may place in the sufficiency of evidence and, therefore, the decision outcome. We explore these relationships in an agent-based model; drawing on concepts from environmental risk science, decision psychology and computer simulation. A two-agent model that accounts for the sufficiency of evidence is applied to decisions about salt intake, animal carcass disposal and radioactive waste. A dynamic version of the model assigned personality traits to agents, to explore their receptivity to evidence. Agents with 'aggressor' personality sets were most able to imbue fellow agents with enhanced receptivity (with 'avoider' personality sets less so) and clear confidence in the sufficiency of evidence. In a dynamic version of the model, when both recipient and provider were assigned the 'aggressor' personality set, this resulted in 10 successful evidence submissions in 71 days, compared with 96 days when both agents were assigned the 'avoider' personality set. These insights suggest implications for improving the efficiency and quality of regulatory decision making by understanding the role of personality and power.

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NOTICE: this is the author’s version of a work that was accepted for publication in Science of The Total Environment. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Science of The Total Environment. Volumes 466–467, 1 January 2014, Pages 74–83. DOI:10.1016/j.scitotenv.2013.06.116

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