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On the impact of trust on consumer willingness to purchase GM food : evidence from a European survey

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Author Info
Rousselière, D.
Rousselière, S.
Abstract

Many researches try to explain consumer’s acceptance and opposition to GMO with focus on social factors. With a causal or an associationist theoretical model, different authors put forward the notion of trust as determining to define the position of individuals. Because as in the present case we could fear the simultaneity of decisions (trust, risk perceptions and acceptability), we have to take into account this endogeneity risk. With data from a European Survey (Eurobarometer 64.3 2005), multivariate probit was used to specify the importance of trust in the various organizations involved in the public debate on the acceptance of genetically modified foods on behalf of the “ordinary citizens”. We discuss this portrait of European citizens that shows them to be increasingly optimistic about biotechnology, while being divided on this question.

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Paper provided by Grenoble Applied Economics Laboratory (GAEL) in its series Working Papers with number 200901.

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Date of creation: 2009
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Handle: RePEc:gbl:wpaper:200901

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Related research
Keywords: BIOTECHNOLOGY; CONSUMER ATTITUDE; TECHNOLOGY; EUROPEAN SURVEY DATA; GENETICALLY MODIFIED FOOD; MULTIVARIATE PROBIT; TRUST;

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Find related papers by JEL classification:
C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models
D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
L66 - Industrial Organization - - Industry Studies: Manufacturing - - - Food; Beverages; Cosmetics; Tobacco

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  1. Lorenzo Cappellari & Stephen P. Jenkins, 2003. "Multivariate probit regression using simulated maximum likelihood," United Kingdom Stata Users' Group Meetings 2003 10, Stata Users Group. [Downloadable!]
    Other versions:
  2. Lorenzo Cappellari & Stephen P. Jenkins, 2006. "Calculation of Multivariate Normal Probabilities by Simulation, with Applications to Maximum Simulated Likelihood Estimation," IZA Discussion Papers 2112, Institute for the Study of Labor (IZA). [Downloadable!]
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  3. Maurizio Canavari & Rodolfo Nayga, 2009. "On consumers' willingness to purchase nutritionally enhanced genetically modified food," Applied Economics, Taylor and Francis Journals, vol. 41(1), pages 125-137. [Downloadable!] (restricted)
  4. Boisvert, Valerie & Vivien, Franck-Dominique, 2005. "The convention on biological diversity: A conventionalist approach," Ecological Economics, Elsevier, vol. 53(4), pages 461-472, June. [Downloadable!] (restricted)
  5. Fiona Steele & Anna Vignoles & Andrew Jenkins, 2007. "The effect of school resources on pupil attainment: a multilevel simultaneous equation modelling approach," Journal Of The Royal Statistical Society Series A, Royal Statistical Society, vol. 170(3), pages 801-824. [Downloadable!] (restricted)
  6. Noussair, Charles & Robin, Stephane & Ruffieux, Bernard, 2002. "Do consumers not care about biotech foods or do they just not read the labels?," Economics Letters, Elsevier, vol. 75(1), pages 47-53, March. [Downloadable!] (restricted)
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  7. Cook, A. J. & Kerr, G. N. & Moore, K., 2002. "Attitudes and intentions towards purchasing GM food," Journal of Economic Psychology, Elsevier, vol. 23(5), pages 557-572, October. [Downloadable!] (restricted)
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