Investigating World Bank Knowledge Assessment Methodology (KAM) using Data Envelopment Analysis (DEA): A study in ASEAN region

Munshi Naser Ibne Afzal, Dr. Roger Lawrey

Abstract


This paper investigates the World Bank Knowledge Assessment Methodology (KAM) by using Data Envelopment Analysis (DEA), a non-parametric mathematical concept.  KAM is designed to present a basic evaluation of countries’ readiness for the knowledge economy, and identifies areas where member countries may need to focus more attention. This paper considers selected Association of South East Asian Nations (ASEAN) countries to apply DEA technique in order to exhibit how KAM can be better explained for the client countries.


References


Afzal, M.N.I and Lawrey, R. (2012a). KBE frameworks and their applicability to a resource-based country: The case of Brunei Darussalam. Asian Social Science, 8(7), 208-218.

Afzal, M.N.I and Lawrey, R. (2012b). Knowledge-based economy (KBE) frameworks and empirical investigation of KBE input-output indicators for ASEAN. International Journal of Economics and Finance 4(9).

Afzal, M.N.I and Lawrey, R. (2012c). A measurement framework for knowledge-based economy (KBE) efficiency in ASEAN: A Data Envelopment (DEA) Window Approach. International Journal of Business and Management, 7(18), Forthcoming.

Afzal, M.N.I and Lawrey, R. (2012d). Evaluating the comparative performance of technical and scale efficiencies in knowledge-based economies (KBEs) in ASEAN: A Data Envelopment Analysis (DEA) Application, European Journal of Economics, Finance and Administrative Sciences 51(8), forthcoming.

Australia Bureau of Statistics (ABS). (2002). Measuring a knowledge-based economy and society – an Australian framework. Discussion paper (cat. No. 1375.0).

Charnes, A., Cooper, W.W. and Rhodes, E. (1978). Measuring efficiency of decision making units. European Journal of Operational Research. 3, 429-44.

Coelli, T. (1996). A guide to DEAP version 2.1: A data envelopment Analysis (computer) program. CEPA Working Paper 96/08.

Cooper, W.W., Seiford, L.M. and Tone, K. (2000). Data Envelopment Analysis: A Comprehensive text with Models, Application, References, and DEA software, New York, NY: Springer.

Derek, H., Chen, C. and Dahlman C. J. (2006). The knowledge economy, the KAM methodology and World Bank operations, working paper.

Hsu, M., Luo, X. & Chao, G. (2005).The fog of OECD and non-OECD country efficiency: a data envelopment analysis approach”, In Johnston, T.C. (Ed)., Proceedings of the Annual Meeting of the association of collegiate marketing educators. March 1-5, 2005, Texas, 121-130.

Lee, K. S. (2001). Economic development through knowledge creation- the case of Korea, Proceedings of the 34th Hawaii International Conference on System Science, 2001

Norman, M. and Stoker, B. (1991). Data Envelopment Analysis: The Assessment of Performance, Chichester: John Wiley & Sons.

Ramanathan, R. (2003). An Introduction to Data Envelopment Analysis a Tool for Performance Measurement, New Delhi: Sage Publications.

Scheel, H. (2000). Efficiency Measurement System, Version 1.3 (http:// www.wiso.uni-dortmund.de/lsfg/or/scheel/ems/) (Accessed 10th January, 2012)

World Bank Institute (WBI). (1999). World development report 1998/99: knowledge for development, World Bank, Washington.

World Bank Institute. (2002). Programme on knowledge for development. Knowledge Assessment Methodology and Scorecards.

World Competitiveness Yearbook (WCY CD-ROM). (1995-2010). Switzerland: IMD

World Development Indicators (WDI online). (1995-2010). Washington: World Bank

Yue, C.S. and Lim, J.J. (2003). Singapore: A regional hub in ICT, Masuyama, S. and Vandenbrink, D. (Ed.), Towards a Knowledge-based Economy: East Asia’s Changing Industrial Geography, ISEAS & NRI, Singapore & Tokyo, 259.


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ISSN : 2251-1563