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Provedor de dados:  AgEcon
País:  United States
Título:  USING BEST WORST SCALING TO INVESTIGATE PERCEPTIONS OF CONTROL AND CONCERN OVER FOOD AND NON-FOOD RISKS
Autores:  Erdem, Seda
Rigby, Dan
Data:  2010-05-03
Ano:  2010
Palavras-chave:  Best-worst scaling
Maximum Difference
Food
Risk
Perception
Novel Technology
E.coli
UK
Food Consumption/Nutrition/Food Safety
Institutional and Behavioral Economics
Research and Development/Tech Change/Emerging Technologies
Research Methods/ Statistical Methods
Risk and Uncertainty
Q18
Q51
D03
D12
Resumo:  This research locates a series of risks or hazards within a framework characterized by the level of control respondents believe they have over the risks, and the level of worry the risks prompt. It does this for a set of both food and non-food risks. The means by which this is done is novel and differs from past risk perception analyses in that it asks people directly regarding their relative assessments of the levels of control and worry regarding the risks presented. The cognitive burden associated with people ranking and scaling items in large sets is notoriously heavy and so this study uses an elicitation method designed to make the process intuitive and cognitively manageable for respondents. The substantive analysis of the risk perceptions has 4 main foci concerning the relative assessment of (i) novel as opposed to more familiar risks (e.g. swine flu vs. heart attack), (ii) food risks as opposed to non-food risks, (iii) perceived levels of control over the risks versus how worrying the risks are considered to be, (iv) differences in the risk perceptions across social groups, in this paper we analyze the relative assessments of farmers and consumers with a particular orientation on E. coli.
Tipo:  Conference Paper or Presentation
Idioma:  Inglês
Identificador:  http://purl.umn.edu/61518
Relação:  Agricultural and Applied Economics Association>2010 Annual Meeting, July 25-27, 2010, Denver, Colorado
Selected Paper
11476
Formato:  29
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