A Study on the Assessment of Business Performance of Machinery Industry in Taiwan and Mainland China with the Application of Dynamic Data Envelopment Analysis(DEA)

• Main Authors: Show-Jung Wu, 吳紹榕
• Other Authors: Wei-Kang Wang
• Format: Others
• Language: zh-TW
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/88884848980391666239

碩士 === 元智大學 === 管理碩士在職專班 === 104 === This study uses a total of 136 decision making units(DMU) among the listing companies in machinery industry in Taiwan and mainland as the subject, uses dynamic data envelopment analysis to analyze the business efficiency of each decision making unit from 2010 to2014, and uses the methods such as slack variable analysis and sensitivity analysis to discuss the effect of input item and output item on the efficiency value. It also uses the financial statements from 2009 to 2014 of each unit as the analysis data and then puts forward the proper suggestions, and thereby promotes the operational performance of machinery industries in Taiwan to reach the target of sustainable operation. The empirical results find the efficiency percentage of each decision making unit in the overall DMUs from 2010 to 2014: (1) under the total technical efficiency(TE), the relatively efficient decision making units account for 11.8%, 8.1%, 2.9%, 5.1% and 8.8% of the overall DMUs respectively. Under the pure technical efficiency(PTE), the relatively efficient decision making units account for 14.7%, 12.5%, 3.7%, 5.9% and 9.6% of the overall DMUs respectively, and under the scale efficiency(SE), the relatively efficient decision making units account for 52.2%, 50.7%, 36.8%, 41.2% and 35.3% of DMUs respectively; (2) through slack variable analysis, the basis of input and output increase and decrease can be provided for the relatively inefficient decision making units; (3) by virtue of sensitivity analysis, it can be learnt that the business cost influences the efficiency value of DMUs is the most compared to other input variables, as the basis for the decision making unit managers to improve in priority.