A multinomial logit analysis is employed to analyze consumers' perceptions about purchasing biotech foods and their preferences for mandatory and voluntary labeling. Results showed that consumers who are sensitive to the possible side effects of biotech crops on wildlife and the environment are more likely to support a mandatory labeling policy. Results also indicated that respondents who believe biotech foods may have unforeseen health risks are more likely to favor mandatory labeling. Furthermore, the study found that respondents who are willing to buy a meat product produced using biotechnology are more likely to favor a voluntary labeling policy
We applied a multinomial logit model to determine consumer characteristics affecting three possible ...
This article contributes to the ongoing discussion about the impact of different labeling practices ...
Abstract: Eight perceived attributes of agro-biotechnology were identified to be associated with con...
A multinomial logit analysis is employed to analyze consumers' perceptions about purchasing biotech ...
Conjoint analysis is used to measure the preferences of United States consumers for labeling of biot...
by R. Wes Harrison and Everald Mclennon Conjoint analysis is used to measure the preferences of Unit...
Conjoint analysis is used to measure consumer preferences for alternative biotech labeling formats. ...
This study uses multivariate statistical procedures to assess producers’ preferences for mandatory l...
The issue of whether or not to label will be a crucial one for the U.S. agricultural sector in the c...
Risk perceptions about biotechnology and genetically modified (GM) foods drive the choices made by m...
This paper employs household survey data to further examine whether biotech food labeling has an imp...
This study evaluates producers' perceptions on mandatory labeling of GM food products. The analysis ...
During the past decade, there has been growing public attention and concern over consuming products ...
Emerging technologies applied to food products often evoke controversy about their safety and whethe...
Conjoint analysis is used to elicit consumer preferences for attributes of genetically modified food...
We applied a multinomial logit model to determine consumer characteristics affecting three possible ...
This article contributes to the ongoing discussion about the impact of different labeling practices ...
Abstract: Eight perceived attributes of agro-biotechnology were identified to be associated with con...
A multinomial logit analysis is employed to analyze consumers' perceptions about purchasing biotech ...
Conjoint analysis is used to measure the preferences of United States consumers for labeling of biot...
by R. Wes Harrison and Everald Mclennon Conjoint analysis is used to measure the preferences of Unit...
Conjoint analysis is used to measure consumer preferences for alternative biotech labeling formats. ...
This study uses multivariate statistical procedures to assess producers’ preferences for mandatory l...
The issue of whether or not to label will be a crucial one for the U.S. agricultural sector in the c...
Risk perceptions about biotechnology and genetically modified (GM) foods drive the choices made by m...
This paper employs household survey data to further examine whether biotech food labeling has an imp...
This study evaluates producers' perceptions on mandatory labeling of GM food products. The analysis ...
During the past decade, there has been growing public attention and concern over consuming products ...
Emerging technologies applied to food products often evoke controversy about their safety and whethe...
Conjoint analysis is used to elicit consumer preferences for attributes of genetically modified food...
We applied a multinomial logit model to determine consumer characteristics affecting three possible ...
This article contributes to the ongoing discussion about the impact of different labeling practices ...
Abstract: Eight perceived attributes of agro-biotechnology were identified to be associated with con...