A Study on Assessing the Operational Performance of Construction Industry in Taiwan

• Main Authors: CHO,YI-LI, 卓益豊
• Other Authors: HSAO,CHING-KAI
• Format: Others
• Language: zh-TW
• Published: 2005
• Online Access: http://ndltd.ncl.edu.tw/handle/35410594883181904581

碩士 === 國立中興大學 === 應用經濟學研究所 === 93 === Abstract Construction industry has been called "the engine" of the industry, which is close to the national economy and related people's livelihood and residence, and thus has strong implications for developing related industries. According to the census for industry and services in Taiwan area by Directorate-General Executive Yuan in 2001, number of companies registered in the construction industry is 55,666, while the number of employee reaches 456,049. These two numbers indicate the importance of construction industry. This study uses 14 construction companies which sell the stocks in the open market as the research object, and selects 16 financial indicators as the appraisal standards. The primary factors and the weights were derived by using the principal component analysis method, and the operational performance assessment model for construction industry was built. Next, the discriminant analysis method was using to find the most important financial indicator factors. It is hoped that the results will be used by the policy-makers in the future. Based on the research findings conclusions of this study are as follows. 1、To establish the assessment criteria for operational performance of construction industry. This study extracts primary factors by way of the principal component analysis method and reduces to 5 factor dimensions. These 5 factors can explain the total variation of 92.176 %, hence the explanation ability is good. These 5 factors are very much the same as five strength analyses of business management. This indicated that the 16 financial indicators are extremely suitable for judging the construction industry’s operational performance. 2、To build the model for assessing the operational performance of construction industry. Based on various factor weights, this study derives an assessment equation for operational performance. The empirical results have shown that this equation model can appropriately reflect the 14 construction companies’ actual performance between year 2001 and year 2003. Thus this equation is effective in assessing the operational performance of construction industry. 3、 To derive the significantly influential financial indicators for the operational performance of construction industry. The results of this study indicated that the factor 3, namely "the moving force factor", contains 2 financial indicators, with the most significant influence on the operational performance of construction industry. And the factor 1, namely "the earning power factor", contains 6 financial indicators, also with significant influence on construction industry. These results have shown that the moving force and the earning power are more important for the operational performance of construction industry, therefore manages should adopt these two strengths to promote the operational performance.