Measuring Food Product Differentiation by Quality Ratings: A Cross‐Entropy Analysis of Specialty Coffee e‐Auctions |
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Authors: | M. Laura Donnet Dave D. Weatherspoon Charles B. Moss |
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Affiliation: | M. Laura Donnet is based in the Department of Agribusiness, Universidad Austral, Rosario, Argentina. E‐mail: for correspondence. Dave D. Weatherspoon is based in the Department of Agricultural, Food and Resource Economics, Michigan State University, East Lansing, MI, USA. E‐mail: . Charles B. Moss is based in the Food and Resource Economics Department, University of Florida, Gainesville, FL, USA. E‐mail: . We thank Pamela Ortiz and Valeria Berardi for their help in data analysis and presentation of results. We are also grateful to two referees and a JAE editor for extensive revisions and suggestions. |
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Abstract: | Food quality ratings can be used for product differentiation and strategic marketing. This article develops a differentiation measure based on the cross‐entropy of two distributions for speciality coffees. It examines whether quality ratings achieve their objectives for speciality coffee supply chains. The estimation, using e‐auctions data, indicates that the quality rating is more informative in the Cup of Excellence (CofE) relative to the Q auction. To determine significance, a statistical test for comparing the information measure across different e‐auctions and segments of the quality rating was developed. The significant difference between the two auctions is not a surprise as the auctions trade coffee lots of different volumes and the quality evaluation is more important in the case of the CofE, with its jury of renowned coffee experts. The total cross‐entropy measure of product differentiation shows that the 100‐point quality rating does not carry the same information content and meaning in the two different e‐auctions and their respective supply chains. The cross‐entropy measure of product differentiation is shown to be a good indicator of the information and the value created throughout the speciality food supply chain. |
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Keywords: | e‐Auctions entropy analysis information product differentiation measure quality ratings speciality agri‐food supply chain performance assessment speciality coffee Q13 L15 L81 C14 |
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