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• W4207071436 abstract "Assessing the public's willingness to pay (WTP) for the coronavirus disease 2019 (COVID-19) vaccine by the contingent valuation (CV) method can provide a relevant basis for government pricing. However, the scope issue of the CV method can seriously affect the validity and reliability of the estimation results.To examine whether there are scope issues in respondents' WTP for the COVID-19 vaccine and to further verify the validity and reliability of the CV estimate results.In this study, nine different CV double-bounded dichotomous choices (DBDC) hypothetical COVID-19 vaccine scenarios were designed using an orthogonal experimental design based on the vaccine's attributes. A total of 2450 samples from 31 provinces in Mainland China were collected to independently estimate the public's WTP in these nine scenarios with logistic, normal, log-logistic and log-normal parameter models. Based on this estimation, several external scope tests were designed to verify the validity and reliability of the CV estimate results.In the 20 pairs of COVID-19 vaccine scenarios, 6 pairs of scenarios were classified as negative scope issues, therefore not passing the external scope test. Of the remaining 14 pairs of scenarios, only four pairs of scenarios completely passed the external scope test, and one pair of scenarios partially passed the external scope test. Significant negative scope and scope insensitivity issues were revealed.In the context of a dynamic pandemic environment, the findings of this study reveal that the CV method may face difficulty in effectively estimating respondents' WTP for the COVID-19 vaccine. We suggest that future studies be cautious in applying the CV method to estimate the public's WTP for the COVID-19 vaccine." @default.
• W4207071436 created "2022-01-26" @default.
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• W4207071436 date "2022-01-10" @default.
• W4207071436 modified "2023-10-05" @default.
• W4207071436 title "Scope Issue in Contingent Valuation Studies of the COVID-19 Vaccine: The Case of China" @default.
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• W4207071436 doi "https://doi.org/10.1007/s40258-021-00706-9" @default.
• W4207071436 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35001293" @default.
• W4207071436 hasPublicationYear "2022" @default.
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