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Cited by 405

The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.

Does Local Labeling Complement or Compete with Other Sustainable Labels? A Conjoint Analysis of Direct and Joint Values for Fresh Produce Claim

Onozaka, Yuko, McFadden, Dawn Thilmany·2011·American Journal of Agricultural Economics

Abstract

As a way to explore the increasing use of sustainability labels in the marketplace, this study analyzes the differential values and interactive effects of sustainable production claims (organic, fair trade, and carbon footprint) and location claims through a conjoint choice experiment included in a 2008 U.S. survey. Locally grown is the highest valued claim, and its value is further enhanced with fair trade certification, but carbon‐intensive local products are discounted more severely than those sourced from other locations. Some negatively valued claims (imports and carbon footprint) can be mitigated by combining them with other claims (organic and fair trade).

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Crossref · 10.1093/ajae/aar005

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Metadata

Authors
Onozaka, Y., & McFadden, D. T.
Venue
American Journal of Agricultural Economics
Publisher
Wiley
Published
2011-04
Volume
93
Issue
3
Pages
693-706
ISSN
  • 0002-9092 (ISSN-L)
  • 1467-8276
OpenAlex
W2103844814
Cited by
405
References
27
FWCI
20.34
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Does Local Labeling Complement or Compete with Other Sustainable Labels? A Conjoint Analysis of Direct and Joint Values for Fresh Produce Claim. https://app.cochat.ai/papers/10.1093/ajae/aar005
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Onozaka, Y., & McFadden, D. T. (2011). Does Local Labeling Complement or Compete with Other Sustainable Labels? A Conjoint Analysis of Direct and Joint Values for Fresh Produce Claim. American Journal of Agricultural Economics. https://doi.org/10.1093/ajae/aar005

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.