Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/45661
DC FieldValueLanguage
dc.contributor.authorTseng, W.C.en_US
dc.contributor.author陳吉仲zh_TW
dc.contributor.authorChen, C.C.en_US
dc.contributor.authorChang, C.C.en_US
dc.contributor.authorChu, Y.H.en_US
dc.contributor.author曾偉君zh_TW
dc.date2009zh_TW
dc.date.accessioned2014-06-06T08:15:25Z-
dc.date.available2014-06-06T08:15:25Z-
dc.identifier.issn0165-0009zh_TW
dc.identifier.urihttp://hdl.handle.net/11455/45661-
dc.description.abstractResearchers of climate change have suggested that climate change and variability has a significant influence on the epidemiology of infectious diseases, particularly vector-borne diseases. The purpose of this study is to explore how climate conditions and the dengue fever epidemic in Taiwan are related and to estimate the economic impact of climate change on infectious diseases. To achieve these objectives, two different methods, one involving the Panel data model and the other the Contingent Valuation Method (CVM), are applied in this study. At first, we use the Panel data model to assess the relationship between climate conditions and the number of people infected by dengue fever during the period from January 2000 to February 2006 in 308 cities and townships in the Taiwan. The results of the empirical estimation indicate that climate conditions have an increasingly significant impact on the probability of people being infected by dengue fever. The probability of being infected by dengue fever due to climate change is then calculated and is found to range from 12% to 43% to 87% which represent low, mid, and high probabilities of infection caused by climate change when the temperature is increased by 1.8A degrees C. The respondent's willingness to pay (WTP) is also investigated in the survey using the single-bounded dichotomous choice (SBDC) approach, and the results show that people would pay NT$724, NT$3,223 and NT$5,114 per year in order to avoid the increased probabilities of 12%, 43%, and 87%, respectively, of their being infected with dengue fever.en_US
dc.language.isoen_USzh_TW
dc.relationClimatic Changeen_US
dc.relation.ispartofseriesClimatic Change, Volume 92, Issue 1-2, Page(s) 123-140.en_US
dc.relation.urihttp://dx.doi.org/10.1007/s10584-008-9437-6en_US
dc.subjectwillingness-to-payen_US
dc.subjecterror components modelsen_US
dc.subjectrisk-reductionen_US
dc.subjectvaluationen_US
dc.titleEstimating the economic impacts of climate change on infectious diseases: a case study on dengue fever in Taiwanen_US
dc.typeJournal Articlezh_TW
dc.identifier.doi10.1007/s10584-008-9437-6zh_TW
item.languageiso639-1en_US-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.openairetypeJournal Article-
item.fulltextno fulltext-
item.grantfulltextnone-
Appears in Collections:應用經濟學系
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