English  |  正體中文  |  简体中文  |  Items with full text/Total items : 62805/95882 (66%)
Visitors : 3903051      Online Users : 380
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/987654321/106357


    Title: Unpacking Images of China Using Causal Layered Analysis
    Authors: Jeanne Hoffman
    Keywords: International relations theory;realism;liberalism;China threat;peaceful rise;causal layered analysis
    Date: 2012-03
    Issue Date: 2016-04-22 13:47:18 (UTC+8)
    Abstract: The aim of this paper is to use Causal Layered Analysis (CLA) to map the International Relations
    (IR) theories of ‘China threat’ and ‘Peaceful rise’. The paper looks at the way in which Western
    and Chinese constructs and prevailing metaphors impact the debate on the ‘rise’ of China and what
    limitations each view brings to the discourse. Both theories are shown to be problematic in their own
    way. It is argued that China futures need to be further investigated using more complex tools such as
    CLA to enable more than well rehearsed patterns of the future to emerge.
    Relation: Journal of Futures Studies 16(3), pp.1-24
    Appears in Collections:[Master's Program, Graduate Institute of Futures Studies] Journal Article

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML232View/Open
    Unpacking Images of China Using Causal Layered Aalusis.pdf361KbAdobe PDF16View/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