The Research on the Relationship between Taiwanese IT Firms with OFDI in China and the Market Share in Japan

• Main Authors: Ching-Hua Kuo, 郭靜樺
• Other Authors: Sen-Kuei Liao
• Format: Others
• Language: zh-TW
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/yh4hr6

碩士 === 國立臺北科技大學 === 經營管理系碩士班 === 102 === The clusteringof OFDI on the home export to host market has been so far rarely explored. One of the reasons for a lack of such research may be that there are none in the world like Taiwanese firms which have directed so much of their OFDI to China and have replicated industry clustering effects in China. More than 60% of Taiwan’s accumulative OFDI from 1991 to 2012 was directed to China. The strategic alliances and technology transfer between high-tech companies in Japan and in Taiwan have set successful examples for high-tech industries around the globe. This study examines the effect of the OFDI made by Taiwan’s IT industries in China on the share of Taiwanese IT products in Japan during the time period 1994-2012 by applying multiple regression analysis to the data on Electronic Parts and Components Manufacturing and Computers, Electronic Products and Optical Products Manufacturing – the industries that has largest accumulative OFDI in China, has the greatest export competitiveness advantage, and has the most significant synergy from vertical integration and interdependence. The results indicate a increase in investments in China by Taiwanese electronic parts and components manufacturers caused the market share of the products of this kind to rise by 0.569%, slightly higher than a 0.504% increase caused by a 1% increase in investments in China by Taiwanese computers, electronic products and optical products manufacturers, showing that investments in China by Taiwanese electronic parts and components manufacturers exercised a more significant impact on Japanese enterprises, thereby increasing purchases of Taiwanese high-level IT components. The methodology of this study is to employ both quantitative analysis by using multiple regression and qualitative analysis by conducting in-depth interviews with manufacturers and officials.