English  |  正體中文  |  简体中文  |  Items with full text/Total items : 58323/91867 (63%)
Visitors : 14038298      Online Users : 89
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU 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: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/107009

    Title: The applicability of marginal abatement cost approach: A comprehensive review
    Authors: Huang, K. Shihping;Kuo, Lopin;Chou, Kuei-Lan
    Keywords: Marginal abatement cost;Climate change policy;Cost-effectiveness;Technology-specific;Market-oriented
    Date: 2016-07-20
    Issue Date: 2016-08-15
    Publisher: Elsevier BV
    Abstract: The Marginal Abatement Cost (MAC) methodology is widely used in climate change policies. Policy-makers rely on MAC to assess feasible strategies and related costs to achieve emission reduction goals. This paper introduces a variety of MAC methodologies, aiming at solving diverse problems, which utilizes various calculable-logic, thus producing different results and implications. This study applies a mind-mapping method to capture differentiation of MAC methods, and systematically classify MAC methodologies. The applicability path analysis was proposed, based on principles such as stakeholder type, decision-making objectives, cost concept, strategy mode and information scope. Our goal is to assess the applicability of different methodologies, to reduce misuse by policy-makers, and to serve as a guide for subsequent research, which might prompt and lead to the derivation of more consequential results in future studies. The results of this study suggest that the complex method is not always better than the simplified method because policy-makers are required to select the appropriate method according to the type of information needed. It may even be suggested that MAC could be reliable by ranking relative-value of options compared with baseline, rather than focusing on the absolute value of individual measures.
    Relation: Journal of Cleaner Production 127, p.59-71
    DOI: 10.1016/j.jclepro.2016.04.013
    Appears in Collections:[Graduate Institute & Department of Accounting] Journal Article

    Files in This Item:

    File SizeFormat

    All items in 機構典藏 are protected by copyright, with all rights reserved.

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