Pricing differentials for organic, ordinary and genetically modified food

Journal of Product and Brand Management

Volumn 14, Issue 6, 2005, Pages 387-392

  Mather, Damien ^a   Knight, John ^a   Holdsworth, David ^a  

^a UNIVERSITY OF OTAGO   (New Zealand)

Author keywords

Experimentation; Genetic modification; Organic foods; Pricing

Indexed keywords

EID: 27744493684     PISSN: 10610421     EISSN: None     Source Type: Journal    
DOI: 10.1108/10610420510624549     Document Type: Article

References (28)

1. Bishop, R.C. and Heberlein, T.A. (1979), "Measuring values of extramarket goods: Are indirect measures biased?", American Journal of Agricultural Economics, Vol. 61 No. 5, pp. 926-930.
2. Bishop, R.C. and Heberlein, T.A. (1986), Does Contingent Valuation Work?, Rowman and Littlefield, Totowa, NJ.
3. Boccaletti, S. and Moro, D. (2000), "Consumer willingness-to-pay for GM food products in Italy", AgBioForum, Vol. 3 No. 4, pp. 259-67.
4. Bohm, P. (1972), "Estimating demand for public goods: An experiment", European Economic Review, Vol. 3 No. 2, pp. 111-130.
5. Boyed, J. and Mellman, J. (1980), "The effect of fuel economy standards on the US automotive market: A hedonic demand analysis", Transportation Research, Vol. 14A Nos 5-6, pp. 367-378.
6. Burnham, K.P. and Anderson, D.R. (1998), Model Selection and Inference: A Practical Information-theoretic Approach, Springer, New York, NY.
7. Burton, M. and Pearse, D. (2003), "Consumer attitudes towards genetic modification, functional foods, and micro-organisms: A choice modeling experiment for beer", AgBioForum, Vol. 5 No. 2, pp. 51-8.
8. Carson, R.T. (1997), "Contingent valuation surveys and tests of insensitivity to scope", in Kopp, R., Pommerehne, W. and Schwarz, N. (Eds), Determining the Value of Non-Market Goods: Economic, Psychological, and Policy-Relevant Aspects of Contingent Valuation Methods, Kluwer, Boston, MA, pp. 127-63.
9. Chen, Z. and Kuo, L. (2001), "A note on the estimation of the multinomial logit model with random effects", The American Statistician, Vol. 55 No. 2, pp. 89-107.
10. Cummings, R.G., Harrison, G.W. and Rutstrom, E.E. (1995), "Home-grown values and hypothetical surveys: Is the dichotomous choice approach incentive-compatible?", American Economic Review, Vol. 85 No. 1, p. 260.
11. Dickie, M., Fisher, A. and Gerking, S. (1987), "Market transactions and hypothetical demand data: A comparative study", Journal of the American Statistical Association, Vol. 82 No. 397, p. 69.
12. Elrod, T. (2004), "Random coefficient structural equation models", Proceedings of the Conference on Recent Development of Statistical Modeling in Marketing, Institute of Statistical Mathematics, Tokyo, pp. 155-63.
13. Gaskell, G., Allum, N. and Stares, S. (2003), "Europeans and biotechnology in 2002", Eurobarometer, Vol. 58, pp. 1-69.
14. Hurvich, C.M. and Tsai, C.L. (1989), "Regression and time series model selection in small samples", Biometrika, Vol. 76 No. 2, pp. 297-307.
15. Jain, D., Vilcassim, N. and Chintagunta, P. (1994), "A random-coefficients logit brand-choice model applied to panel data", Journal of Business and Economic Statistics, Vol. 12 No. 3, pp. 317-28.
16. Kealy, M.J., Montgomery, M. and Dovidio, J.F. (1990), "Reliability and predictive validity of contingent values: Does the nature of the good matter?", Journal of Environmental Economics and Management, Vol. 19 No. 3, pp. 244-263.
17. Knight, J., Holdsworth, D. and Mather, D. (2003), Trust and Country Image: Perceptions of European Food Distributors regarding Factors that Could Enhance or Damage New Zealand's Image - Including GMOs, University of Otago, Dunedin, pp. 1-89.
18. List, J.A. and Gallet, C.A. (2001), "What experimental protocol influences disparities between actual and hypothetical stated values?", Environmental and Resource Economics, Vol. 20 No. 3, pp. 241-54.
19. Loomis, J., Brown, T., Lucero, B. and Peterson, G. (1996), "Improving validity experiments of contingent valuation methods: Results of efforts to reduce the disparity of hypothetical and actual willingness to pay", Land Economics, Vol. 72 No. 4, pp. 450-61.
20. Louviere, J.J., Hensher, D.A. and Swait, J.D. (2000), Stated Choice Methods, University Press, Cambridge.
21. Lusk, J. (2003), "Effects of cheap talk on consumer willingness-to-pay for golden rice", American Journal of Agricultural Economics, Vol. 85 No. 4, pp. 840-56.
22. McFadden, D. (1973), Conditional Logit Analysis of Qualitative Choice Behavior, Academic Press Inc., New York, NY.
23. McFadden, D. and Train, K. (2000), "Mixed MNL models for discrete response", Journal of Applied Econometrics, Vol. 15, pp. 447-70.
24. Mather, D. (2003), "Simple and improved heterogeneous MNL model estimation", Proceedings of the Australia and New Zealand Marketing Academy Conference 2003, University of South Australia, Hyatt, Adelaide, pp. 2486-91.
25. Moon, W. and Balasubramanian, S. (2003), "Is there a market for genetically modified foods in Europe? Contingent valuation of GM and non-GM breakfast cereals in the United Kingdom", Journal of Agrobiotechnology Management & Economics, Vol. 6 No. 3, pp. 128-33.
26. Morrison, M.D., Blamey, R.K., Bennett, J.W. and Louviere, J.J. (1996), A Comparison of Stated Preference Techniques for Estimating Environmental Variables, Australian National University, Canberra, pp. 1-34.
27. Neill, H.R., Cummings, R.G., Ganderton, P.T., Harrison, G.W. and McGuckin, T. (1994), "Hypothetical surveys and real economic commitments", Land Economics, Vol. 70 No. 2, pp. 145-54.
28. Wright, P. (1998), "Multivariate analysis using the MIXED procedure", Proceedings of the 23rd annual SAS Users Group International conference, SAS Institute, Opryland Hotel, Nashville, TN, p 5.