Market Segmentation Analysis of Preferences for GM Derived Animal Foods in the UK
This paper undertakes a detailed market segmentation analysis of the demand for GM derived animal foods in the UK with the aim of illustrating how this analysis can provide distinct information that can assists in evaluating the welfare impacts of proposed changes to the EU's GM labelling policy. The specific modelling approach employed was the latent segment (LS) model which allows for the simultaneous determination and explanation of both segment membership and product choice. Based on psychometric and demographic variables as well as choice data, the LS model was able to identify three distinct and behaviourally consistent consumer segments. Further, the LS model was found to outperform alternative econometric approaches for accounting for preference heterogeneity. Finally, our analysis shows how it can yield distinct information over the segmented nature of the food market that can uniquely assist both European policy makers in designing GM labelling regimes and public awareness campaigns as well as the agricultural and food industry in developing pricing, marketing and new product development strategies.
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Volume (Year): 4 (2006)
Issue (Month): 1 (December)
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References listed on IDEAS
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- Carlsson, Fredrik & Frykblom, Peter & Lagerkvist, Carl-Johan, 2004.
"Consumer benefits of labels and bans on genetically modified food - An empirical analysis using Choice Experiments,"
Working Papers in Economics
129, University of Gothenburg, Department of Economics.
- Carlsson, Fredrik & Frykblom, Peter & Lagerkvist, Carl Johan, 2004. "Consumer benefits of labels and bans on genetically modified food - An empirical analysis using Choice Experiments," 2004 Annual meeting, August 1-4, Denver, CO 20370, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
- Sheldon Ian, 2004. "Europe's Regulation of Agricultural Biotechnology: Precaution or Trade Distortion?," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 2(2), pages 1-28, May.
- Moshe Ben-Akiva & Joffre Swait, 1986. "The Akaike Likelihood Ratio Index," Transportation Science, INFORMS, vol. 20(2), pages 133-136, May.
- Scarpa Riccardo & Del Giudice Teresa, 2004. "Market Segmentation via Mixed Logit: Extra-Virgin Olive Oil in Urban Italy," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 2(1), pages 1-20, August.
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