Modeling fresh organic produce consumption with scanner data: a generalized double hurdle model approach

Feng Zhang, Chung L. Huang, Biing-Hwan Lin and James Epperson
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Feng Zhang: Department of Agricultural and Applied Economics, University of Georgia, Athens, GA 30602-7509 and Deloitte Consulting LLP, 111 S. Wacker Drive, Chicago, IL 60025, Postal: Department of Agricultural and Applied Economics, University of Georgia, Athens, GA 30602-7509 and Deloitte Consulting LLP, 111 S. Wacker Drive, Chicago, IL 60025
Chung L. Huang: Department of Agricultural and Applied Economics, University of Georgia, 313-E Conner Hall, Athens, GA 30602-7509, Postal: Department of Agricultural and Applied Economics, University of Georgia, 313-E Conner Hall, Athens, GA 30602-7509

Agribusiness, 2008, vol. 24, issue 4, 510-522

Abstract: Previous studies using consumer surveys based on contingent valuations gave inconsistent or even contradictory results with respect to the impact of some consumer characteristics on organic foods consumption. Using actual retail-level data, this study provides an objective view of the consumers' social economic characteristics related to the growth of the fresh organic produce market with a generalized double hurdle model. Market participation and conditional|unconditional consumption elasticities were computed for the generalized double hurdle model. [EconLit citations: C240, D120, Q110]. © 2008 Wiley Periodicals, Inc.

Date: 2008
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Persistent link: https://EconPapers.repec.org/RePEc:wly:agribz:v:24:y:2008:i:4:p:510-522

DOI: 10.1002/agr.20176

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