IDEAS home Printed from https://ideas.repec.org/a/ags/revi24/341050.html
   My bibliography  Save this article

Segmentos de preferências na aquisição da carne bovina

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/341050/files/Etie%CC%81nne%20Groot.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.341050?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Roy Brouwer & Solomon Tarfasa, 2020. "Testing hypothetical bias in a framed field experiment," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 68(3), pages 343-357, September.
    2. Cathal O'Donoghue & Thia Hennessy, 2015. "Policy and Economic Change in the Agri-Food Sector in Ireland," The Economic and Social Review, Economic and Social Studies, vol. 46(2), pages 315-337.
    3. Domanski, Adam, 2009. "Estimating Mixed Logit Recreation Demand Models With Large Choice Sets," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49413, Agricultural and Applied Economics Association.
    4. Varela, Elsa & Jacobsen, Jette Bredahl & Soliño, Mario, 2014. "Understanding the heterogeneity of social preferences for fire prevention management," Ecological Economics, Elsevier, vol. 106(C), pages 91-104.
    5. Solomon Tarfasa & Roy Brouwer, 2013. "Estimation of the public benefits of urban water supply improvements in Ethiopia: a choice experiment," Applied Economics, Taylor & Francis Journals, vol. 45(9), pages 1099-1108, March.
    6. Catalina M. Torres Figuerola & Nick Hanley & Sergio Colombo, 2011. "Incorrectly accounting for taste heterogeneity in choice experiments: Does it really matter for welfare measurement?," CRE Working Papers (Documents de treball del CRE) 2011/1, Centre de Recerca Econòmica (UIB ·"Sa Nostra").
    7. Cerquera Dussán, Daniel & Ullrich, Hannes, 2010. "Consumer welfare and unobserved heterogeneity in discrete choice models: The value of alpine road tunnels," ZEW Discussion Papers 10-095, ZEW - Leibniz Centre for European Economic Research.
    8. Mäntymaa, Erkki & Juutinen, Artti & Tyrväinen, Liisa & Karhu, Jouni & Kurttila, Mikko, 2018. "Participation and compensation claims in voluntary forest landscape conservation: The case of the Ruka-Kuusamo tourism area, Finland," Journal of Forest Economics, Elsevier, vol. 33(C), pages 14-24.
    9. Norton, Daniel & Hynes, Stephen, 2014. "Valuing the non-market benefits arising from the implementation of the EU Marine Strategy Framework Directive," Ecosystem Services, Elsevier, vol. 10(C), pages 84-96.
    10. Agimass, Fitalew & Lundhede, Thomas & Panduro, Toke Emil & Jacobsen, Jette Bredahl, 2018. "The choice of forest site for recreation: A revealed preference analysis using spatial data," Ecosystem Services, Elsevier, vol. 31(PC), pages 445-454.
    11. Juutinen, Artti & Kosenius, Anna-Kaisa & Ovaskainen, Ville, 2014. "Estimating the benefits of recreation-oriented management in state-owned commercial forests in Finland: A choice experiment," Journal of Forest Economics, Elsevier, vol. 20(4), pages 396-412.
    12. Yangui, Ahmed & Akaichi, Faical & Costa-Font, Montserrat & Gil, Jose Maria, 2019. "Comparing results of ranking conjoint analyses, best–worst scaling and discrete choice experiments in a nonhypothetical context," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 63(2), April.
    13. Delle Site, Paolo & Kilani, Karim & Gatta, Valerio & Marcucci, Edoardo & de Palma, André, 2019. "Estimation of consistent Logit and Probit models using best, worst and best–worst choices," Transportation Research Part B: Methodological, Elsevier, vol. 128(C), pages 87-106.
    14. Bujosa Bestard, Angel & Font, Antoni Riera, 2009. "Environmental diversity in recreational choice modelling," Ecological Economics, Elsevier, vol. 68(11), pages 2743-2750, September.
    15. Takahiro Tsuge & Yasushi Shoji & Koichi Kuriyama & Ayumi Onuma, 2022. "Using a Choice Experiment to Understand Preferences for Disaster Risk Reduction with Uncertainty: A Case Study in Japan," Sustainability, MDPI, vol. 14(8), pages 1-17, April.
    16. Rocchi, L. & Cortina, C. & Paolotti, L. & Massei, G. & Fagioli, F.F. & Antegiovanni, P. & Boggia, A., 2019. "Provision of ecosystem services from the management of Natura 2000 sites in Umbria (Italy): Comparing the costs and benefits, using choice experiment," Land Use Policy, Elsevier, vol. 81(C), pages 13-20.
    17. Hynes, Stephen & Greene, William, 2012. "Panel Travel Cost Count Data Models for On-Site Samples that Incorporate Unobserved Heterogeneity with Respect to the Impact of the Explanatory Variables," Working Papers 148834, National University of Ireland, Galway, Socio-Economic Marine Research Unit.
    18. Hynes, Stephen & Tinch, Dugald & Hanley, Nick, 2013. "Estimating the value of improvements to coastal waters resulting from revisions of the EU Bathing Waters Directive," Working Papers 160058, National University of Ireland, Galway, Socio-Economic Marine Research Unit.
    19. Chung, Chanjin & Briggeman, Brian C. & Han, Sungill, 2012. "Willingness-to-Pay for Beef Quality Attributes: A Latent Segmentation Analysis of Korean Grocery Shoppers," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 44(4), pages 447-459, November.
    20. Meyerhoff, Jurgen & Bartczak, Anna & Liebe, Ulf, 2012. "Protester or non-protester: a binary state? on the use (and non-use) of latent class models to analyse protesting in economic valuation," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 56(3), pages 1-17.

    More about this item

    Keywords

    Consumer/Household Economics;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:revi24:341050. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/inrapfr.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.