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  • 标题:A Measurement Framework for Knowledge-Based Economy (KBE) Efficiency in ASEAN: A Data Envelopment (DEA) Window Approach
  • 本地全文:下载
  • 作者:Munshi Naser Afzal ; Roger Lawrey
  • 期刊名称:International Journal of Business and Management
  • 印刷版ISSN:1833-3850
  • 电子版ISSN:1833-8119
  • 出版年度:2012
  • 卷号:7
  • 期号:18
  • 页码:57
  • DOI:10.5539/ijbm.v7n18p57
  • 出版社:Canadian Center of Science and Education
  • 摘要:

    The objective of this paper is to assess the relative efficiencies of ASEAN-5 countries in their development of
    knowledge-based economies (KBEs) during the period 2005-2010. The KBE concept was first used by the
    Organization for Economic Co-operation and Development (OECD) describing it as an economy which is
    directly based on the production, distribution and use of knowledge and information. Subsequently, the Asia
    Pacific Economic Cooperation forum (APEC) and the World Bank Institute (WBI), along with the OECD,
    extended the concept and developed frameworks to compare the status of the knowledge base of different
    economies. These frameworks identify four core dimensions: knowledge acquisition, production, distribution
    and utilization, and use many structural and qualitative variables in their analysis. But none of the current
    methodologies explicitly divide the KBE indicators under these four core dimensions or measure the efficiency
    with which knowledge inputs are transformed to knowledge outputs. This paper attempts to fill the gap in
    existing literature by building a policy-focused KBE framework, selecting appropriate indicators from the
    existing OECD and WBI KBE frameworks and assessing the relative input-output efficiencies of the ASEAN-5
    countries in the development of their KBEs over time. For this purpose we use the linear programming
    application of Data Envelopment (DEA) Window Analysis. The DEA/Window scores allow the comparison of
    the relative performance of each country regarding each dimension of KBE. The importance of this study,
    however, is not so much the immediate result which highlights comparative efficiencies, but rather that
    DEA/Window is a workable model which can take the study of KBE further in investigating the contributory
    factors of KBE.

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