Valuing Environmental Preferences: Theory and Practice of the Contingent Valuation Method in the US, EU and Developing Countries

Households Willingness to Pay for the Conservation of Noug: A Case Study

“…The hypothesis to the hypothetical market is 'each individual's reply to hypothetically quantified questions is equivalent with the individual response to the actual market'. Finally, the estimation practice begins by asking respondents the amount they will pay in real money or contribute labour to the scenario formulated in the hypothetical market (Bateman and Willis, 2001;Cawley, 2008). We formulated a hypothetical market called 'on farm Guizotia abyssinica conservation Program'.…”

Estimating the Social Value of Digital Signage Landmarks as Sustainable Tourist Attractions

“…Traditionally, the Single-Bound Dichotomous Choice (SBDC) model has been prevalent in tourism, and gauges willingness to pay through one question [82]. However, critiques from environmental economics highlight its limitations in accurately measuring a willingness to pay and its propensity for overestimation [84]. This study adopts the double-bound dichotomous choice (DBDC) model, which incorporates additional questions to refine the accuracy and efficiency of willingness-to-pay assessments.…”

COVID-19 risk perception and tourist satisfaction: A mixed-method study of the roles of destination image and self-protection behavior

“…The results showed (Table 5) that risk perception significantly influenced negative destination image (β = 0.385, p < 0.001), thus H1 was supported; risk perception significantly and positively influenced selfprotection behavior of tourists (β = 0.196, p < 0.001), therefore H2 was supported; risk perception had a significant negative effect on tourist satisfaction (β = -0.213, p < 0.001) providing support to H3; negative destination image had a significant positive effect on self-protection behavior (β = 0.290, p < 0.001), therefore H4 was supported; negative destination image had a significant negative effect on tourist satisfaction (β = -0.199, p < 0.001) which supports H5; self-protection behavior had a significant negative effect on tourist satisfaction had no significant effect (β = 0.110, p > 0.05) thus H6 was not supported. Finally, we applied model 6 of the process macro program developed by Hayes to check for indirect effects and used a bias-corrected bootstrap confidence intervals (CIs) method with 5,000 replicate samples (Hanemann and Kanninen, 1996;Arrow, 2001) to assess potential independent and serial mediation effects, and if the indirect effect of 95% CI does not contain 0 then the mediating effect is indicated. Table 6 shows a significant direct effect between risk perception and satisfaction (β = -0.155, 95% CI = -0.231, -0.080) and a significant indirect effect of negative destination image between risk perception and tourist satisfaction (β = -0.054, 95% CI = -0.088, -0.025), with a significant partial independent mediating effect of negative destination image between the two which supports H7a.…”