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Measuring consumer knowledge and dem...
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You, So Ye.
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Measuring consumer knowledge and demand response to food-related biotechnology, recombinant bovine growth hormone (rbGH).
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Measuring consumer knowledge and demand response to food-related biotechnology, recombinant bovine growth hormone (rbGH)./
作者:
You, So Ye.
面頁冊數:
152 p.
附註:
Source: Dissertation Abstracts International, Volume: 60-06, Section: B, page: 2656.
Contained By:
Dissertation Abstracts International60-06B.
標題:
Agriculture, Food Science and Technology. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9922582
ISBN:
0599356049
Measuring consumer knowledge and demand response to food-related biotechnology, recombinant bovine growth hormone (rbGH).
You, So Ye.
Measuring consumer knowledge and demand response to food-related biotechnology, recombinant bovine growth hormone (rbGH).
- 152 p.
Source: Dissertation Abstracts International, Volume: 60-06, Section: B, page: 2656.
Thesis (Ph.D.)--The University of Wisconsin - Madison, 1999.
The expected utility model was applied to explain the way consumers would take action to affect their risk perceptions and incorporated consumers' self-protection actions regarding risk perceptions and drove consumer milk demand.
ISBN: 0599356049Subjects--Topical Terms:
1017813
Agriculture, Food Science and Technology.
Measuring consumer knowledge and demand response to food-related biotechnology, recombinant bovine growth hormone (rbGH).
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Source: Dissertation Abstracts International, Volume: 60-06, Section: B, page: 2656.
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Supervisors: Robin A. Douthitt; Lydia Zepeda.
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Thesis (Ph.D.)--The University of Wisconsin - Madison, 1999.
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The expected utility model was applied to explain the way consumers would take action to affect their risk perceptions and incorporated consumers' self-protection actions regarding risk perceptions and drove consumer milk demand.
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The objectives of this study were to determine what factors influence consumers' long-term and short-term risk perceptions for rbGH-treated milk, and whether the factors were similar between short-term and long-term risk-perceptions, to test whether consumer risk perceptions or other factors influence consumer self-protection actions, and to estimate consumer demand response for fluid milk in light of the self-protection actions and other economic and demographic factors.
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The data was collected in a U.S. Nationwide Consumer Survey during 1995 using a Computer Assisted Telephone Interview system. Finally, 1,910 households were interviewed and 1,466 were used to investigate consumer milk demand regarding risk perceptions and self-protection actions. The general structure of the model was recursive, since consumer risk perception was included in the equation of self-protection action, and the self-protection action was included in milk demand as explanatory variables. Heckman's two stage estimation procedure was applied to estimate the model by calculating the covariance matrix using the software package LIMDEP (7.0).
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The data presented in this study demonstrates that consumers are concerned about the milk from rbGH-treated cows, even though the Food and Drug Administration has ruled that it is safe for consumption. The data showed that consumers had concerns about the food safety risk to their health from consuming rbGH-treated milk, but actual amount of consumption was not found to be significantly influenced by self-protection actions. This implied that consumers might consider the adverse health outcomes to be probabilistic, and hence, the adverse health outcomes might not have occurred to them.
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In fact, the results did demonstrate that labeling availability significantly influenced consumers' self-protection action. That is, in markets where labeled alternatives were present, concerned consumers were more likely to self protect by substituting to these products. A policy implication of this result is that labeling food products produced using biotechnology enhances consumer choice. Hence, consumers could express a more accurate demand response and reduce the perceived food safety risk.
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