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

dc.contributor.author	Zhang, F	en
dc.contributor.author	Huang, CL	en
dc.contributor.author	Lin, B-H	en
dc.contributor.author	Epperson, JE	en
dc.date.accessioned	2014-06-06T06:48:10Z
dc.date.available	2014-06-06T06:48:10Z
dc.date.issued	2008	en
dc.identifier.issn	07424477	en
dc.identifier.uri	http://dx.doi.org/10.1002/agr.20176	en
dc.identifier.uri	http://62.217.125.90/xmlui/handle/123456789/3993
dc.title	Modeling fresh organic produce consumption with scanner data: A generalized double hurdle model approach	en
heal.type	journalArticle	en
heal.identifier.primary	10.1002/agr.20176	en
heal.publicationDate	2008	en
heal.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. © 2008 Wiley Periodicals, Inc.	en
heal.journalName	Agribusiness	en
dc.identifier.issue	4	en
dc.identifier.volume	24	en
dc.identifier.doi	10.1002/agr.20176	en
dc.identifier.spage	510	en
dc.identifier.epage	522	en