Productivity Index Analyses of Listed Auto-Parts Companies in Taiwan

• Main Authors: Wu Chin Yen, 吳金燕
• Other Authors: Lee Tung-Chieh
• Format: Others
• Language: zh-TW
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/upu934

碩士 === 南臺科技大學 === 企業管理系 === 104 === This study employed data envelopment analysis (DEA) window analysis and Malmquist productivity change index to evaluate the business performance and efficiency changes of Taiwan’s listed auto parts companies during the post-2008 financial crisis period (i.e., 2008–2014). Companies that sell and/or manufacture four types of auto part products, namely engine components and parts, transmission systems, electrical and electronics, and miscellaneous auto parts, were investigated. The calculated Malmquist productivity change index were compared with the DEAwindow analysis scores to assess the pure management efficiency change index (PEch), scale efficiency change index (SEch), and total efficiency change index (TEch) of these companies. This study considered the costs, operating expenses, and fixed assets as the input parameters and calculated the net operating revenue as the output. The results revealed that (a) in contrast to miscellaneous auto parts products, products in the other three types exhibit declined scale efficiency , indicating that the auto parts industry must enhance its scale efficiency. The resultant pure management efficiency suggested that transmission products were less influenced by the 2008 financial crisis compared with the other types of auto products. (b) The calculated Malmquist productivity change index indicated technological advancement occurring in 2010–2012 in the auto industry, implying a recovery from the 2008 financial crisis. (c) The comparison between the Malmquist productivity change index and DEA window analysis scores revealed considerable variations in the PEch, SEch, and TEch of the distinct investigation periods. Moreover, when the investigation period was short, low Malmquist productivity change index were obtained, indicating trivial efficiency frontier changes (i.e., technology). In this context, window analysis should be used in the productivity change analysis.