Some Fundamentals of Environmental Choice Modelling

By Jeffrey Bennett, G. Adak. 2001

296 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/f7c1f58f5c68209fa3c4f04787806d9387803fa4

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Citations in the corpus

• Discrete Choice Models and Valuation Experiments (2003, unknown): “According to Bennett (1999), the minimum number of people in a subsample should be around 50, taken as a rule of thumb for practitioners.”
• Designing Policy for Reducing the Off-farm Effects of Soil Erosion Using Choice Experiments (2005, background): “Again, the scale parameter cancels out in this expression (Bennett and Adamowicz, 2001):”
• Economic valuation of cultural heritage sites: A choice modeling approach (2010, background): “Alternative choice options in a CM application can be presented to respondents in two formats: labeled (or alternative specific) or unlabelled (or generic) (Bennett & Adamowicz, 2001: p. 54).”
• Using Recreation Specialization to Understand Multi-Attribute Management PReferences (2006, methodology): “Fractional factorial designs that generate a tractable number of choice sets also reduce the number of trip profiles needed to estimate the desired effects while maintaining the orthogonality of the full factorial (Bennett & Adamowicz, 2001).”
• A Choice Modeling Application for Greek Heritage Attractions (2005, background): “Other applications of systematic heterogeneous choice models include travel mode choice (Bhat 1998), water supply options (Blamey, Gordon, and Chapman 1999), recreation demand (Breffle and Morey 2000), and holiday destination choices (Huybers and Bennett 2000). The use of personal characteristics in”
• Consumer attitudes to genetically modified organisms in food in the UK (2001, methodology): “Formally, the approach is based within the framework of random utility theory, and there have been extensive applications in marketing and environmental valuation (e.g. Morrison et al., 1996; Adamowicz et al., 1998; Blamey et al., 1998; Bennett, 1999; Hansen and Schmidt, 1999).”
• Heterogeneous preferences for water quality attributes: The Case of eutrophication in the Gulf of Finland, the Baltic Sea (2010, methodology): “Finding a set of attributes that illustrate broad and interdependent consequences of eutrophication, and are relevant to both policy makers and respondents (Bennett and Adamowicz, 2001) is important and challenging.”
• Consumer preferences for GM food and other attributes of the food system (2003, unknown): “Formally, it is based within the framework of Random Utility Theory, and there have been extensive applications in marketing and environmental valuation (e.g., Bennett 1999; Morrison et al .”
• Patch occupancy of grassland specialists: Habitat quality matters more than habitat connectivity (2018, background): “22), indicates a good, or even a very good, model performance (Bennett, 1999).”