A PRINCIPLE COMPONENT ANALYSIS — NUMERICAL TAXONOMY APPROACH FOR EXPORT PERFORMANCE ASSESSMENT: THE CASE OF IRANIAN CHEMICAL UNITS

A. Azadeh () and G. H. Ataei ()
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A. Azadeh: Department of Industrial Engineering, Center of Excellence for Intelligent Based Mechanical Experiments and Department of Engineering Optimization Research, College of Engineering University of Tehran, Iran, P. O. Box 11365–4563, Iran
G. H. Ataei: National Iranian Oil Company (NIOC), Department of Strategic Planning, Tehran, Iran

The Singapore Economic Review (SER), 2009, vol. 54, issue 04, 689-707

Abstract: This paper presents an integrated approach for assessment of export performance based on principal component analysis (PCA) and Numerical Taxonomy (NT). The integrated assessment is influenced by shaping factors such as export value, production value, export growth, R&D expenditure and value added. Iranian chemical industries are selected as a case study according to the format of International Standard for Industrial Classification (ISIC) for a five-year period. The modeling approach of this paper could be used for analyzing other sectors and countries. This study shows how total export efficiency is obtained through the proposed approach whereas previous studies consider conventional productivity approach by a single indicator.

Keywords: Export indicators; PCA; numerical taxonomy; international standard; cluster analysis (search for similar items in EconPapers)
Date: 2009
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Citations: View citations in EconPapers (2)

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DOI: 10.1142/S0217590809003446

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