A Study on Performance Evaluation of Plastics Industry in Taiwan：An Application of Data Envelopment Analysis Method

• Main Authors: Hsiao-Yuan Hung, 洪小媛
• Other Authors: 廖冠傑
• Format: Others
• Language: zh-TW
• Published: 2010
• Online Access: http://ndltd.ncl.edu.tw/handle/58946048166163187716

碩士 === 樹德科技大學 === 經營管理研究所 === 98 === This study uses some plastics companies of its industry in Taiwan to assess a performance model by Data Envelopment Analysis (DEA) among years as from 2004 to 2007. We propose a input-output model to conduct its resource-performance relationship, including four input variables as operating expenses, total assets, fixed assets, and the other assets; for output variables as net operating income, extra operating income, profit income, and earnings per share. Through efficiency analysis, slack variable analysis, sensitivity analysis, and Malmquist productivity index analysis, these help enhance to understand how the various manufacturers can be used to the case of productive resources and the direction of efficiency improvement to measure the inter-period changes in total factor productivity. These analysis also support managers to improve the operating principles, future loss, and appropriate, resource allocation. The results showed as the followings: (1) The value of 0.9468 in the average pure technical efficiency of the industry; the value of 0.9435 in the average scale efficiency. The former one is greater than the latter one, which refers to improve its scale efficiency can be considerable from size adjustment; (2) The four plastics companies (Asia Polymer, Taiwan Styrene Monomer, UPC Technology, and Yem Chio) showed the unnecessary adjustment to its of input-output model because of the relative efficiency value of 1.00 to reach the necessary efficiency; (3) Through the sensitivity analysis, the most influential inputs was the total operating income; (4) By the Malmquist productivity index analysis, the overall plastics industry manufacturers, productivity, and technical efficiency showed the growth phenomena. However, technology growth still improves necessarily by their appropriate input-output adjustments.