The effect of trust on public support for biotechnology: Evidence from the U.S. Biotechnology Study, 1997-1998
AbstractThe purpose of this article is to examine the extent to which trust directly affects public support for biotechnology, particularly in applications to food production and genetic modification of crop plants. Unlike previous research in which trust is assumed to be exogenous, this article posits that trust is endogenously determined. An econometric model is developed that controls for the endogeneiy of trust using instrumental variable and selection correction techniques. Using data from the U.S. Biotechnology Study, this study finds that the effect of trust on public support is substantially stronger than previous estimates. [JEL Codes: Q13, Q16, Q18.] © 2003 Wiley Periodicals, Inc. Agribusiness 19: 155-168, 2003.
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Bibliographic InfoArticle provided by John Wiley & Sons, Ltd. in its journal Agribusiness.
Volume (Year): 19 (2003)
Issue (Month): 2 ()
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Web page: http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1520-6297
Find related papers by JEL classification:
- Q13 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Markets and Marketing; Cooperatives; Agribusiness
- Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services
- Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Harvey James, 2002. "On the Reliability of Trusting," Microeconomics 0202002, EconWPA.
- Vella, Francis & Verbeek, Marno, 1999. "Estimating and Interpreting Models with Endogenous Treatment Effects," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(4), pages 473-78, October.
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