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Segmentos de preferências na aquisição da carne bovina

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  • Groot, Etiénne

Abstract

The objective of this work was to investigate the consumer preferences of the main attributes involved on beef purchase process, in Dracena - Sao Paulo State, Brazil. Thus, it was carried out 116 interviews in the city’s public thoroughfares, in July and August 2017. A structured questionnaire was used for interviews. Average preferences were determined by multinomial logistic regression and market segments were estimated through the latent class analysis. Results show that the most important attribute of beef purchase process is its appearance and it is followed by the expiration data on the packaging and meat freshness. It was found that there are five market segments. The largest, which comprises 31.3% of consumers, is characterized by the importance given to those attributes related to organoleptic quality. The second segment represents the preference of 18.9% of consumers, and they were defined as “concerned with health”, for giving priority to beef’s smell and freshness. The smallest segment is only 8.6% of consumers. To increase beef acceptance, it is necessary to take care of its aspect at selling point, and it must be in a good conservation state and with a recent slaughter date.

Suggested Citation

  • Groot, Etiénne, 2021. "Segmentos de preferências na aquisição da carne bovina," Revista de Economia e Sociologia Rural (RESR), Sociedade Brasileira de Economia e Sociologia Rural, vol. 59(2), January.
  • Handle: RePEc:ags:revi24:341050
    DOI: 10.22004/ag.econ.341050
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    1. Stephen Hynes & Nick Hanley & Riccardo Scarpa, 2008. "Effects on Welfare Measures of Alternative Means of Accounting for Preference Heterogeneity in Recreational Demand Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(4), pages 1011-1027.
    2. Francine da Silveira Espinoza & Adriana Shizue Hirano, 2003. "As dimensões de avaliação dos atributos importantes na compra de condicionadores de ar: um estudo aplicado," RAC - Revista de Administração Contemporânea (Journal of Contemporary Administration), ANPAD - Associação Nacional de Pós-Graduação e Pesquisa em Administração, vol. 7(4), pages 97-117.
    3. Erdem, Seda & Rigby, Dan, 2011. "Using Best Worst Scaling To Investigate Perceptions Of Control & Concern Over Food And Non-Food Risks," 85th Annual Conference, April 18-20, 2011, Warwick University, Coventry, UK 108790, Agricultural Economics Society.
    4. Hoppe, Alexia & Vieira, Luciana Marques & Barcellos, Marcia Dutra de, 2013. "Consumer Behaviour Towards Organic Food in Porto Alegre: an application of the Theory of Planned Behaviour," Brazilian Journal of Rural Economy and Sociology (Revista de Economia e Sociologia Rural-RESR), Sociedade Brasileira de Economia e Sociologia Rural, vol. 51(1), pages 1-22, March.
    5. T.N. Flynn & A.A.J. Marley, 2014. "Best-worst scaling: theory and methods," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 8, pages 178-201, Edward Elgar Publishing.
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