2008
DOI: 10.1007/s10640-008-9248-2
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Combining Contingent Valuation and Choice Experiments. A Forestry Application in Spain

Abstract: Forest valuation, Forest externalities, Choice modeling, Choice experiments, Contingent valuation, Q23, Q26, Q20,

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Cited by 21 publications
(10 citation statements)
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References 23 publications
(27 reference statements)
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“…In addition, residents in olive-grove dependent municipalities reap a direct benefit from the payments. These relationships would be in line with those detected by Mogas et al (2009) related to increased quality of reforestation programs, who also identify a higher preference for the non-status quo option in higher-income respondents, individuals living in areas where the benefits would be provided and respondents undertaking recreational activities in forests. Lastly, respondents declaring a higher level of difficulty in completing the choice experiment exercise are more willing to move away from the status quo.…”
Section: Resultssupporting
confidence: 81%
“…In addition, residents in olive-grove dependent municipalities reap a direct benefit from the payments. These relationships would be in line with those detected by Mogas et al (2009) related to increased quality of reforestation programs, who also identify a higher preference for the non-status quo option in higher-income respondents, individuals living in areas where the benefits would be provided and respondents undertaking recreational activities in forests. Lastly, respondents declaring a higher level of difficulty in completing the choice experiment exercise are more willing to move away from the status quo.…”
Section: Resultssupporting
confidence: 81%
“…The majority of these studies adhere to the stated preference paradigm to estimate welfare improvements associated with reduction of fire risk, or focus on the evaluation of forest restoration projects in areas having experienced a significant wildfire (Mogas et al, ; Riera and Mogas, ). Stetler et al () and Loomis () are examples of the application of hedonic property models that find significant decrease in property value as a result of proximity to fire afflicted areas.…”
mentioning
confidence: 99%
“…Researchers have studied the same object with two different methods and compared their results. CE turned out to be more effective (Hanley et al, 1998;Mogas et al, 2009). CE is advantageous in behavioral analysis: incentive measures are controlled in the hands of experimenters; orthogonal matrices provide the biggest statistical benefits; the various changes of attributes can be observed; the introduction and exclusion of products and services can be done directly (Louviere and Hensher, 1983).…”
Section: Introductionmentioning
confidence: 99%