Applying Two-Stage DEA of Game Model to Evaluate the Performance of Taiwanese Semiconductor Industry

• Main Authors: Lu, Ching-Cheng, 盧清城
• Other Authors: Chiu, Yung-Ho
• Format: Others
• Language: en_US
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/01852536083581467558

博士 === 東吳大學 === 經濟學系 === 102 === Semiconductor, one of the most important components in the electronic system, widely offers industrial electronic applications downstream. In recent decades, the semiconductor industry has occupied a great position in the support of the reputation of Taiwanese electronics Kingdom. In recent years, Taiwan has received international competitive pressure from South Korea, China, India and extrinsic factors such as the poor economic environment, weak demand and exchange rate after the financial crisis. The output value gradually has declined since 2008, the industry no longer possess a competitive advantage. In order to break through the existing operating difficulties, the management should understand their business advantage to improve operations performance. Traditionally Data envelopment analysis (DEA) is a method for measuring the efficiency of peer DMUs, many researches focused on measurement of the production side or market side separately, but did not jointly evaluate both sides of their efficiencies. The purpose of this paper is to explore the performance of members in Taiwanese semiconductor industry. More specifically, this study is to measure the overall efficiency of both sides of production and markets with two-stage model. We apply both Non-cooperative (Leader-Follower) and Cooperative game model connecting productive efficiency with market efficiency to measure overall efficiency. Our finding, first, higher productive efficiency does not always come with higher market efficiency. Secondly, the average overall efficiency of DMUs has lower efficiency than stage 1 or stage 2 in this period. The other results show that either higher productive efficiency or market efficiency may not necessarily bring out higher overall efficiency. Additionally, we apply the meta-frontier and group frontiers to estimate the average overall technology gap of Taiwanese semiconductor industry. Compared with the other sectors, the average overall efficiency of IC design was lower during 2008 to 2011.