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Aquaculture International

, Volume 20, Issue 4, pp 673–691 | Cite as

Exploring consumer’s preferences for farmed sea bream

  • Gianluca Stefani
  • Riccardo Scarpa
  • Alessio Cavicchi
Article

Abstract

Sea bream (Sparus aurata) production plays a significant part in Italian aquaculture, contributing to almost 18% of national pisciculture sales revenue. In recent years, Italian firms faced higher competition from countries with lower production costs. This prompted responses toward both cost reduction and product differentiation. The objective of this study was to investigate the preferences of Italian consumers for sea bream from fish farms, with a focus on aspects of product differentiation as gleaned from the analysis of the market situation: price, product origin, type and place of fish farming, and, in particular, type of feed. Data were collected with a consumers’ survey using personal interviews conducted on a questionnaire that included a choice experiment. Consumer preferences were analyzed with choice models based on stated preference data. The models made it possible to evaluate the potential of products with different combinations of attributes for which there is currently no market information available. In particular, the country of origin emerged as an important element of consumer choice, and to a lesser degree, organic certification and fish farming in marine cages also play a relevant role and may command a price premium.

Keywords

Consumer preferences Discrete choice models Sea bream 

Notes

Acknowledgments

The authors gratefully acknowledge financial support from the Italian Ministry of University through the FISR, Special Integrated Fund for Research, Food Quality and Well being, project n. 176 “Innovative model for integrated management of mariculture plants for food safety and quality and environmental quality” (ALLITTIMA).

References

  1. Alfnes F, Guttormsen A, Steine G, Kolstad K (2006) Consumers’ willingness to pay for the color of salmon: a choice experiment with real economic incentives. Am J Agr Econ 88(4):1050–1061CrossRefGoogle Scholar
  2. Corsi A (2007) Ambiguity of measured wtp for quality improvements when quantity is unconstrained: a note. Eur Rev Agric Econ 34:501–515CrossRefGoogle Scholar
  3. DeFrancesco E (2003) The beginning of organic fish farming in Italy. FEEM working paper no. 65Google Scholar
  4. Department of Marketing & Institute of Aquaculture University of Stirling (2004) Study of the market for aquaculture produced seabass and seabream species.Technical report to the European Commission DG Fisheries, University of StirlingGoogle Scholar
  5. Donath H, Wessells CR, Johnston R, Asche F (2000) Consumer preferences for eco-labelled seafood in the United States and Norway: a comparison. Paper presented at the biennial meetings of the International Institute of Fisheries Economics and Trade, Corvallis, Oregon, USA, JulyGoogle Scholar
  6. Ferrini S, Scarpa R (2007) Designs with a priori information for nonmarket valuation with choice experiments: a Monte Carlo study. J Environ Econ Manag 53:342–353CrossRefGoogle Scholar
  7. Grunert SC, Juhl HJ (1995) Values, environmental attitudes, and buying of organic foods. J Econ Psychol 16:39–62CrossRefGoogle Scholar
  8. Hair JF, Anderson RE, Tatham RL, Black R (1998) Multivariate data analysis. Prentice Hall, Englewood CliffsGoogle Scholar
  9. Halbrendt CK, Wirth FF, Vaughn GF (1991) Conjoint analysis of the mid-Atlantic food-fish market for farm-raised hybrid striped bass. South J Agr Econy 23(1):155–163Google Scholar
  10. Halbrendt C, Wang Q, Faiz C, o’Dierno L (1995) Marketing problems and opportunities in mid-atlantic seafood retailing. Am J Agr Econ 77:1313–1318CrossRefGoogle Scholar
  11. Hensher DA, Greene WH (2003) The mixed logit model: the state of practice. Transportation 30(2):133–176CrossRefGoogle Scholar
  12. Holland D, Wessels CR (1998) Predicting consumer preferences for fresh salmon: the influence of safety inspection and production method attributes. Agr Resour Ec Rev 27(1):1–14Google Scholar
  13. ISMEA (2007) Il settore ittico in Italia e nel mondo: le tendenze recenti. ISMEA, ROMAGoogle Scholar
  14. ISMEA (2010) Il settore ittico in Italia: check-up 2010. ISMEA, ROMAGoogle Scholar
  15. Jaffry S, Pickering H, Ghulam Y, Whitmarsh D, Wattage P (2004) Consumer choices for quality and sustainability labelled seafood products in the UK. Food Policy 29:215–228CrossRefGoogle Scholar
  16. Lombardi WM, Anderson JL (1998) The market potential for farmed freshwater finfish in Germany: a focus on catfish. Aquacult Econ Manage 2(2):43–48CrossRefGoogle Scholar
  17. McFadden D (1974) Conditional logit analysis of qualitative choice behaviour. In: Zarembka P (ed) Frontiers in econometrics. Academic Press, New York, p 105Google Scholar
  18. Ngene (2008) User’s manual, institute of transport and logistics studies. University of Sydney, SydneyGoogle Scholar
  19. Oca J, Reig L, Flos R (2002) Is land based sea bream production a feasible activity on the northwest Mediterranean coast? Analysis of production costs. Aquacult Intern 10:29–41CrossRefGoogle Scholar
  20. Pieniak Z, Verbeke W (2008) Consumer interest and marketing potential of information on fish labels. Paper presented at 12th Congress of the European Association of Agricultural Economists, EAAEGoogle Scholar
  21. Pieniak Z, Verbeke W, Scholderer J, Brunso K, Olsen SO (2007) European consumers’ use of and trust in information sources about fish. Food Qual Prefer 18:1050–1063CrossRefGoogle Scholar
  22. Quagraine KK, Engle CR (2006) A latent class model for analyzing preferences for catfish. Aquacult Econ Manage 10:1–14CrossRefGoogle Scholar
  23. Sándor Z, Wedel M (2001) Designing conjoint choice experiments using managers’ prior beliefs’. J Mark Res 38:430–444CrossRefGoogle Scholar
  24. Scarpa R, Rose JM (2008) Design Efficiency for non-market valuation with choice modelling: how to measure it, whato to report and why. Agr Resour Ec 52:253–282CrossRefGoogle Scholar
  25. Scarpa R, Ferrini S, Willis K (2005) Performance of error component models for status-quo effects. In: Scarpa R, Alberini A (eds) Applications of simulation methods in environmental and resource economics. Kluwer Academic Publishers, London, pp 247–274CrossRefGoogle Scholar
  26. Scarpa R, Campbell D, Hutchinson WG (2007) Benefit estimates for landscape improvements: sequential Bayesian design and respondents’ rationality in a choice experiment study. Land Econ 83(4):617–634Google Scholar
  27. Scarpa R, Gilbride TJ, Campbell D, Hensher DA (2009) Modelling attribute non-attendance in choice experiments for rural landscape valuation. Eur Rev Agric Econ 36(2):151–174CrossRefGoogle Scholar
  28. Train KE (2003) Discrete choice methods with simulation. Cambridge University Press, CambridgeCrossRefGoogle Scholar
  29. Verbeke W, Sioen I, Brunsø K, De Henauw S, Van Camp J (2007a) Consumer perception versus scientic evidence of farmed and wild fish: exploratory insights from Belgium. Aquacult Int 15:121–136CrossRefGoogle Scholar
  30. Verbeke W, Vermeir I, Brunsø K (2007b) Consumer evaluation of fish quality as basis for fish market segmentation. Food Qual Prefer 18:651–661CrossRefGoogle Scholar
  31. Wessels CR, Holland D (1998) Predicting consumer choices for farmed and wild salmon. Aquacult Econ Manage 2(2):49–59CrossRefGoogle Scholar
  32. Wessels CR, Donath H, Johnston RJ (1999) US consumer preferences for ecolabelled seafood. Results of a consumer survey. Technical report, University of Rhode Island. Department of Environmental and Natural Resource EconomicsGoogle Scholar

Copyright information

© Springer Science+Business Media B.V. 2011

Authors and Affiliations

  • Gianluca Stefani
    • 1
  • Riccardo Scarpa
    • 2
  • Alessio Cavicchi
    • 3
  1. 1.Department of Plant, Soil and Environmental SciencesUniversity of FirenzeFirenzeItaly
  2. 2.Waikato Management SchoolUniversity of WaikatoHamiltonNew Zealand
  3. 3.Department of Studies on Economic DevelopmentUniversity of MacerataMacerataItaly

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