Comparison of contingent valuation and choice experiment in solid waste management programs in Macao

By Jianjun Jin, Zhishi Wang, Sheng-hong Ran. 2006

147 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Management, Monitoring, Policy and Law, Transportation

View Paper: https://www.semanticscholar.org/paper/df6df8a0833791d988f7b703a8ab8c30951a1e6d

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Citations in the corpus

What drives the willingness to pay for crop insurance against extreme weather events (flood and drought) in Pakistan? A hypothetical market approach (2016, background): “A comparative study (Jin, Wang, & Ran, 2006) concluded that both CVM and CM methods can be applied for such a purpose and can arrive at similar estimates (Jin et al., 2006).”
Designs with a priori information for nonmarket valuation with choice experiments: A Monte Carlo study (2007, unknown): “[37] 3 1þ sq 8 Main effects MNL 260 (EE) ð24Þ factorial design”
Willingness to pay for eco-labelled wood furniture: Choice-based conjoint analysis versus open-ended contingent valuation (2007, background): “More recently, Jin et al. (2006) compared CA (with linear utility model) and double-bounded dichotomous choice CV, applied to valuation of solid waste management programmes, and found no significant differences between estimates.”
Contemporary Guidance for Stated Preference Studies (2017, background): “Multiple studies have investigated the convergent validity of estimates from these two formats (e.g., Adamowicz et al. 1998; Hanley et al. 1998; Cameron et al. 2002; Foster and Mourato 2003; Ryan 2004; Jin, Wang, and Ran 2006; Mogas, Riera, and Bennett 2006; Goldberg and Rosen 2007).”
The state of the art of environmental valuation with discrete choice experiments (2010, background): “DCE can also provide the opportunity to elicit a deeper understanding of the trade-offs between different attributes (Adamowicz et al., 1998; Jin et al., 2006).”