• DocumentCode
    2865751
  • Title

    Multi-level Subsidy and Penalty Strategy for a Green Industry Sector

  • Author

    Wang, Hsiao-Fan

  • Author_Institution
    Dept. of IEEM, Nat. Tsing Hua Univ., Hsinchu, Taiwan
  • fYear
    2011
  • fDate
    12-14 Dec. 2011
  • Firstpage
    776
  • Lastpage
    783
  • Abstract
    To achieve worldwide environmental protection, each government and enterprise must work out policies to reduce carbon emissions from energy consumption and to increase recycle products. This study proposes a bi-level mixed-integer nonlinear programming (BLMINLP) model to develop subsidy and penalty strategies for governments and enterprises engaged in the collection and recovery operations of environmental protection. The government is the leader who intends to reduce environmental impacts and seek the financial balance in energy saving policies for the recovery and carbon emission. The enterprise is the follower who wants to minimize its costs of recycling and refunding subject to the unit subsidy and unit penalty decisions of the government. This study applies the Karush-Kuhn-Tucker approach to solve the trade-off problem between the government and the enterprise. Numerical Example was provided for illustration.
  • Keywords
    air pollution control; environmental legislation; government policies; integer programming; nonlinear programming; recycling; Karush-Kuhn-Tucker approach; bilevel mixed integer nonlinear programming model; carbon emission reduction; energy consumption; energy saving policy; enterprise policy; financial balance; government policy; green industry sector; multilevel subsidy; penalty strategy; product recycling; unit penalty decision; worldwide environmental protection; Carbon dioxide; Carbon tax; Government; Mathematical model; Programming; Recycling; Transportation; Karush-Kuhn-Tucker approach; bi-level programming; energy saving; refund; subsidy and penalty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Dependable, Autonomic and Secure Computing (DASC), 2011 IEEE Ninth International Conference on
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    978-1-4673-0006-3
  • Type

    conf

  • DOI
    10.1109/DASC.2011.132
  • Filename
    6118904