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    Please use this identifier to cite or link to this item: http://ir.cnu.edu.tw/handle/310902800/22295


    標題: Effects of carbon taxes on different industries by fuzzy goal programming: A case study of the petrochemical-related industries, Taiwan
    作者: Cheng F. Lee
    Sue J. Lin
    Charles Lewis
    Yih F. Chang
    貢獻者: 觀光事業管理系
    關鍵字: Carbon taxes
    Fuzzy goal programming
    Industries
    日期: 2007-08
    上傳時間: 2010-01-15 14:40:00 (UTC+8)
    摘要: Implementation of a carbon tax is one of the major ways to mitigate CO2 emission. However, blanket taxes applied to all industries in a country might not always be fair or successful in CO2 reduction. This study aims to evaluate the effects of carbon taxes on different industries, and meanwhile to find an optimal carbon tax scenario for Taiwan's petrochemical industry. A fuzzy goal programming approach, integrated with gray prediction and input–output theory, is used to construct a model for simulating the CO2 reduction capacities and economic impacts of three different tax scenarios. Results indicate that the up-stream industries show improved CO2 reduction while the down-stream industries fail to achieve their reduction targets. Moreover, under the same reduction target (i.e. return the CO2 emission amount to year 2000 level by 2020), scenario SWE induces less impact than FIN and EU on industrial GDP. This work provides a valuable approach for researches on model construction and CO2 reduction, since it applies the gray envelop prediction to determine the boundary values of the fuzzy goal programming model, and furthermore it can take the economic interaction among industries into consideration.
    關聯: Energy Policy 35(8): p.4051-4058
    Appears in Collections:[觀光事業管理系(含溫泉所)] 期刊論文

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