Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/110963
DC FieldValueLanguage
dc.contributor經濟系
dc.creator許志義zh-tw
dc.creatorHsu, George J. Y.;Xu, Hong-Minen-US
dc.date2000-09
dc.date.accessioned2017-07-12T03:52:06Z-
dc.date.available2017-07-12T03:52:06Z-
dc.date.issued2017-07-12T03:52:06Z-
dc.identifier.urihttp://nccur.lib.nccu.edu.tw/handle/140.119/110963-
dc.description.abstractA computationally fuzzy multiobjective programming (MOP) approach with a Leontief interindustry model is used to investigate the trade-offs between per capita gross domestic product, national employment, and per capita CO 2 emissions in Taiwan. To achieve the objectives of our investigation, the relevant literature is first reviewed, followed by construction of a fuzzy MOP coupled with an input-output model to evaluate the economic impact of the reduction of CO 2 emissions on Taiwan’s economy as a whole. Empirical data have been collected, and various strategies for mitigating industrial CO 2 emissions are simulated. Based on these simulations, policy recommendations are also proposed.
dc.format.extent213 bytes-
dc.format.mimetypetext/html-
dc.relationEnvironmental Economics and Policy Studies, 3, 335-345
dc.titleImpact of Mitigating CO2 Emission on Taiwan: A Fuzzy Multiobjective Programming Approach
dc.typearticle
dc.identifier.doi10.1007/BF03354044
dc.doi.urihttp://dx.doi.org/10.1007/BF03354044
item.fulltextWith Fulltext-
item.grantfulltextrestricted-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypearticle-
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