A Measurement Framework for Knowledge-Based Economy (KBE) Efficiency in ASEAN: A Data Envelopment (DEA) Window Approach

Munshi Naser Ibne Afzal, Roger Lawrey

Abstract


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.


Full Text: PDF DOI: 10.5539/ijbm.v7n18p57

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International Journal of Business and Management   ISSN 1833-3850 (Print)   ISSN 1833-8119 (Online)

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