IDENTIFYING THE ECONOMIC IMPORTANCE OF INDUSTRIAL SECTORS BY MULTIVARIATE ANALYSIS.

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AZADEH M.A.; JALAL S.

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Journal: Year:2001 | Volume:35 | Issue:3 (73) Page(s): 437-449

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Title

IDENTIFYING THE ECONOMIC IMPORTANCE OF INDUSTRIAL SECTORS BY MULTIVARIATE ANALYSIS.

Author(s)

AZADEH M.A. | JALAL S. | Issue Writer Certificate

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Abstract

The objective of this paper is to identify the economic importance of Iranian industries by multivariate analysis. This study is among the first in the world to examine the industrial sectors by two robust approaches, namely, Principal Component Analysis (PCA) and Data Envelopment Analysis (DEA). DEA is a mathematical programming approach and PCA is a multivariate statistical technique. Furthermore, the results of PCA is verified and validated by DEA through a nonparametric statistical test. The two methodologies are used to rank and analyze the Decision-Making Units (DMUs) which in our case are the industrial sectors. To achieve the above objective, first the industrial sectors are classified according to two-digit International Standard for Industrial Classification for all economics activities. ISIC is the most well known industrial classification format in the world. It is used by such international organization as UNIDO, UN and World Bank. ISIC classification ranges between two to four digit formats. This study considers the two digit format of industrial classification and further analysis (three and four digit) is left for a future research paper. Second, a comprehensive study was conducted to locate the most important economic shaping factors in the world, which were identified as eight economic indicators such as value added per employee. The eight indicators are obtained (for PCA) by two output and four input measures (for DEA). The findings of PCA and DEA show the importance and influence of each of the eight indicators used in this study. Also, the industrial sectors (DMUs) are ranked to reveal the best and worst industrial sectors with respect to the selected indicators. In addition, the weak and strong points of each industrial sector are identified. This paper presents an integrated standard approach for economic assessment and ranking of industrial sectors in Iran and the world. Furthermore, for the first time the Iranian industrial sectors (and in the world) are analyzed and ranked by multivariate analyses according to international standards. Also, the results and rankings of PCA and DEA are verified and validated through Spearman test of correlation. The test shows a direct relationship between DEA and PCA, with Spearman test statistic rs = 0.873 which is very close to unity at ex = 0.05 level of significance. In summary, this paper presents a unique standard methodology for assessment and ranking of industrial sectors based on economic indicators. The structure and approach of this paper could be applied for other sectors in particular and other countries in general. The results of this study would help policy makers and top managers to have better understanding of their sectors with respect to economic factors. Also, designers and engineers could identify weak and strong points in regard to economic factors.

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APA: Copy

AZADEH, M.A., & JALAL, S.. (2001). IDENTIFYING THE ECONOMIC IMPORTANCE OF INDUSTRIAL SECTORS BY MULTIVARIATE ANALYSIS.. JOURNAL OF FACULTY OF ENGINEERING (UNIVERSITY OF TEHRAN), 35(3 (73)), 437-449. SID. https://sid.ir/paper/14065/en

Vancouver: Copy

AZADEH M.A., JALAL S.. IDENTIFYING THE ECONOMIC IMPORTANCE OF INDUSTRIAL SECTORS BY MULTIVARIATE ANALYSIS.. JOURNAL OF FACULTY OF ENGINEERING (UNIVERSITY OF TEHRAN)[Internet]. 2001;35(3 (73)):437-449. Available from: https://sid.ir/paper/14065/en

IEEE: Copy

M.A. AZADEH, and S. JALAL, “IDENTIFYING THE ECONOMIC IMPORTANCE OF INDUSTRIAL SECTORS BY MULTIVARIATE ANALYSIS.,” JOURNAL OF FACULTY OF ENGINEERING (UNIVERSITY OF TEHRAN), vol. 35, no. 3 (73), pp. 437–449, 2001, [Online]. Available: https://sid.ir/paper/14065/en

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