English  |  正體中文  |  简体中文  |  Items with full text/Total items : 64180/96952 (66%)
Visitors : 11318369      Online Users : 7840
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: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/24774


    Title: Welfare analysis of privatization in a mixed market with bargaining
    Authors: Jiang, Lily
    Contributors: 淡江大學經濟學系
    Date: 2006-07-01
    Issue Date: 2009-11-30 18:36:32 (UTC+8)
    Publisher: Western Economic Association International
    Abstract: The author analyzes the welfare effects of privatization in a mixed duopoly model in which the wage rate for the privatized firm is determined by Nash bargaining beforehand. The evaluations are based on three-stage privatization frameworks respectively under two regimes: Cournot competition and a public firm acting as a Stackelberg leader. The author finds that the optimal degrees of privatization from the viewpoint of social welfare may be different for various types of competition. The article also shows that even optimal privatization set by a welfare-maximization government may not guarantee welfare improvement, owing to the interference of wage bargaining.
    Relation: Contemporary Economic Policy 24(3), pp.395-406
    DOI: 10.1093/cep/byj029
    Appears in Collections:[經濟學系暨研究所] 期刊論文

    Files in This Item:

    File Description SizeFormat
    0KbUnknown372View/Open
    index.html0KbHTML103View/Open
    Welfare analysis of privatization in a mixed market with bargaining.pdf167KbAdobe PDF0View/Open

    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