Chia Nan University of Pharmacy & Science Institutional Repository:Item 310902800/22295
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 18074/20272 (89%)
Visitors : 4076308      Online Users : 1351
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: https://ir.cnu.edu.tw/handle/310902800/22295


    Title: Effects of carbon taxes on different industries by fuzzy goal programming: A case study of the petrochemical-related industries, Taiwan
    Authors: Cheng F. Lee
    Sue J. Lin
    Charles Lewis
    Yih F. Chang
    Contributors: 觀光事業管理系
    Keywords: Carbon taxes
    Fuzzy goal programming
    Industries
    Date: 2007-08
    Issue Date: 2010-01-15 14:40:00 (UTC+8)
    Abstract: 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.
    Relation: Energy Policy 35(8): p.4051-4058
    Appears in Collections:[Dept. of Tourism Management] Periodical Articles

    Files in This Item:

    File SizeFormat
    0KbUnknown2883View/Open


    All items in CNU IR are protected by copyright, with all rights reserved.


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback