以模糊多準則模式探討產業群聚成長之關鍵驅動力

Finding the Determinative Driving Forces for the Growth of Industrial Clusters Based on Fuzzy MCDM Method

孫嘉祈(Chia-Chi Sun) ； 林亭汝(Grace T.R Lin)

《建國科大學報》 28卷2期 (2009/01) Pp. 69-80

https://doi.org/10.6995/JCTU.200901.0069

摘要

產業群聚在最近受到產管學界大量討論與研究，產業群聚能帶動區域經濟成長與成功，而本研究探討過去對於產業群聚相關文獻，旨欲瞭解產業群聚成長驅動力為何，本研究以台灣新竹科學園區為本研究對象，首先，瞭解過去對於產業群聚驅動力相關研究，進一步以模糊層級分析法為本研究方法，藉由模糊層級分析法發掘產業群聚成長主要驅動力為何，由本研究結果發現，要素稟賦對於產業群聚之成長扮演主要且決定性角色，本研究將提出相關產業群聚政策提供產業界與政府制訂策略與政策之參考依據。

關鍵字

產業群聚 ； 驅動力 ； 新竹科學園區 ； 模糊層級分析法

並列摘要

In the recent years, industrial clusters have received considerable attention from economists and industrial analysts, because they are seen as the main reason for economic growth and success of certain economic region. This study systematically reviews past researches of industrial cluster. The purpose of this paper is to contribute to the understanding of this issue regarding the driving forces for the growth of industrial cluster and find out the priority among these driving forces. Taiwan Hsin Chu Science Park is a prime example for this paper, and its connection with the innovative participators. We begin with an examination of the literature on cluster about its driving forces upon which we propose a conceptual framework. In doing so, we explore the cluster-based industrial system. Then this research adopts the Fuzzy Analytic Hierarchy Process as the analytical tool. The Fuzzy Analytic Hierarchy Process method is used to determine the weightings for evaluation dimension among decision makers. From our research results, the Factor Conditions is the most important driving force for advancing the industrial cluster performance. Overall, this paper concludes with some simulations of cluster policy alternatives confronting the industry and the Taiwanese government.

並列關鍵字

Industrial cluster ； driving force ； Taiwan Hsinchu Science Park ； Fuzzy Analytic Hierarchy Process