Abstract
Knowledge spillover is regarded as one of the important sources of industrial agglomeration. To gauge its importance in agglomeration economies, this thesis attempts to assess the knowledge spillover effects on HsinChu Science-based Industrial Park (HSIP)’s high-tech firm performance, following Jaffe’s methodology (1986) to construct knowledge spillover variables. Then, through the result of k-mean clustering, we further construct intra- and inter-cluster knowledge spillovers and analyzed their impacts in this thesis. Furthermore, the influence of the international knowledge spillover from Silicon Valley on HSIP semiconductor industry are also examined A first-difference GMM econometric method is applied to examine firm-specific effect and simultaneity. A firm-level dataset, which consists of 92 HSIP firms over the period of 2000-2004, are used in analysis. At the end, the results indicate total, local and external, domestic and international knowledge spillovers all positively affect high-tech firms’ net sales, whereas only external and international knowledge spillovers are statistically significant.