| Summary: | 碩士 === 逢甲大學 === 企業管理所 === 93 === In recent years, industrial clusters attract a lot of concerns on research field. The main reason is that industrial clusters offer an efficient way to examine the interdependence relation among the industry and firms in the cluster and help the government to draft the regional industrial policy. The flourishing development of IT industry drives the economy of Taiwan to attain the competitive advantage. One of the important government policies is to form an industrial cluster, Hsinchu Science Park. Industrial cluster has become an important policy of regional development. However, is the performance of a firm in a cluster different from a firm outside the cluster? We use the financial indexes as the firm’s performance measure to identify the source of firm performance.
We use the firm data from the IT industry in TEJ database as our sample. Utilize traditional financial performance index ROA and new developing financial performance index EVA and MVA to represent the basis of company''s performance. We also use two statistic models, VARCOMP procedure and independent-samples T test, to carry on the empirical research of industry''s clustering effect.
In VARCOMP analysis, empirical result shows that the results of variance component of ROA, EVA ,and MVA are not consistent. It can’t support that the effect of industrial clusters has obvious influence on company''s performance. The findings also suggest that the firm factor dominates the variance of firm performance. Besides, in independent-samples T test, the firm performance in a cluster did not show significantly differ from the firm outside the cluster.
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