Health Information Campaigns and Genetically Modified Food Labels in the Seafood Market
In this dissertation I investigate consumer responses to two forms of information provision in the seafood market: health information campaigns and genetically modified food labels. Using data from a seafood auction experiment, I explore sources of heterogeneity among auction participants and their...
Main Author: | |
---|---|
Format: | Text |
Language: | unknown |
Published: |
DigitalCommons@URI
2019
|
Subjects: | |
Online Access: | https://digitalcommons.uri.edu/oa_diss/840 https://doi.org/10.23860/diss-weir-michael-2019 https://digitalcommons.uri.edu/context/oa_diss/article/1868/viewcontent/Weir_uri_0186A_12226.pdf |
id |
ftunivrhodeislan:oai:digitalcommons.uri.edu:oa_diss-1868 |
---|---|
record_format |
openpolar |
spelling |
ftunivrhodeislan:oai:digitalcommons.uri.edu:oa_diss-1868 2023-07-30T04:02:26+02:00 Health Information Campaigns and Genetically Modified Food Labels in the Seafood Market Weir, Michael Joseph 2019-01-01T08:00:00Z application/pdf https://digitalcommons.uri.edu/oa_diss/840 https://doi.org/10.23860/diss-weir-michael-2019 https://digitalcommons.uri.edu/context/oa_diss/article/1868/viewcontent/Weir_uri_0186A_12226.pdf unknown DigitalCommons@URI https://digitalcommons.uri.edu/oa_diss/840 doi:10.23860/diss-weir-michael-2019 https://digitalcommons.uri.edu/context/oa_diss/article/1868/viewcontent/Weir_uri_0186A_12226.pdf Open Access Dissertations text 2019 ftunivrhodeislan https://doi.org/10.23860/diss-weir-michael-2019 2023-07-17T18:58:06Z In this dissertation I investigate consumer responses to two forms of information provision in the seafood market: health information campaigns and genetically modified food labels. Using data from a seafood auction experiment, I explore sources of heterogeneity among auction participants and their responses to health information in the context of current United States Departments of Agriculture and Health and Human Services policy goals using a mixed effects finite mixture model. My second and third chapters explore the potential effect of the forthcoming National Bioengineered Food Disclosure Standard on demand for genetically modified seafood. Considering the new labeling standard and the development of a genetically modified fish I collect data using an online choice experiment to investigate 1) consumer preferences and willingness to pay for Atlantic Salmon fillets with labels denoting the presence or absence of GM technology and 2) influence of behavioral measures on consumer preference for GM seafood using an application of machine learning techniques. The use of these techniques allows for rigorous identification of treatment effects that hold important implications for policy makers in the ever adapting “Information Age.” Text Atlantic salmon University of Rhode Island: DigitalCommons@URI |
institution |
Open Polar |
collection |
University of Rhode Island: DigitalCommons@URI |
op_collection_id |
ftunivrhodeislan |
language |
unknown |
description |
In this dissertation I investigate consumer responses to two forms of information provision in the seafood market: health information campaigns and genetically modified food labels. Using data from a seafood auction experiment, I explore sources of heterogeneity among auction participants and their responses to health information in the context of current United States Departments of Agriculture and Health and Human Services policy goals using a mixed effects finite mixture model. My second and third chapters explore the potential effect of the forthcoming National Bioengineered Food Disclosure Standard on demand for genetically modified seafood. Considering the new labeling standard and the development of a genetically modified fish I collect data using an online choice experiment to investigate 1) consumer preferences and willingness to pay for Atlantic Salmon fillets with labels denoting the presence or absence of GM technology and 2) influence of behavioral measures on consumer preference for GM seafood using an application of machine learning techniques. The use of these techniques allows for rigorous identification of treatment effects that hold important implications for policy makers in the ever adapting “Information Age.” |
format |
Text |
author |
Weir, Michael Joseph |
spellingShingle |
Weir, Michael Joseph Health Information Campaigns and Genetically Modified Food Labels in the Seafood Market |
author_facet |
Weir, Michael Joseph |
author_sort |
Weir, Michael Joseph |
title |
Health Information Campaigns and Genetically Modified Food Labels in the Seafood Market |
title_short |
Health Information Campaigns and Genetically Modified Food Labels in the Seafood Market |
title_full |
Health Information Campaigns and Genetically Modified Food Labels in the Seafood Market |
title_fullStr |
Health Information Campaigns and Genetically Modified Food Labels in the Seafood Market |
title_full_unstemmed |
Health Information Campaigns and Genetically Modified Food Labels in the Seafood Market |
title_sort |
health information campaigns and genetically modified food labels in the seafood market |
publisher |
DigitalCommons@URI |
publishDate |
2019 |
url |
https://digitalcommons.uri.edu/oa_diss/840 https://doi.org/10.23860/diss-weir-michael-2019 https://digitalcommons.uri.edu/context/oa_diss/article/1868/viewcontent/Weir_uri_0186A_12226.pdf |
genre |
Atlantic salmon |
genre_facet |
Atlantic salmon |
op_source |
Open Access Dissertations |
op_relation |
https://digitalcommons.uri.edu/oa_diss/840 doi:10.23860/diss-weir-michael-2019 https://digitalcommons.uri.edu/context/oa_diss/article/1868/viewcontent/Weir_uri_0186A_12226.pdf |
op_doi |
https://doi.org/10.23860/diss-weir-michael-2019 |
_version_ |
1772813228310528000 |