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地理鄰近性與生產研發網絡之研究-以新竹工業地域為對象呂明勳 Unknown Date (has links)
傳統產業區位理論主要在探討人類活動對空間之影響,其所著重者乃為經濟面之分析觀點,相較於傳統產業區位理論,網絡發展理論更加著重產業發展非經濟因素之探討以及網絡體系在空間結構中之建構與快速交流、互動,故近年來,產業網絡之研究受到台灣學術界的甚多重視,眾多研究指出,健全且緊密聯結的產業合作網絡,為台灣廠商國際競爭力的重要來源。而新竹科學工業園區與新竹工業區在政府政策的推動下,已引導出各自不同的產業群聚現象,並賦予其特有的任務與角色,尤其二工業(園)區距離僅約10公里,在空間上已具有鄰近性的特質,故本文主要是從廠商地理鄰近性的觀點,探討在新竹地域此一生產環境下,新竹科學工業園區與新竹工業區廠商之原料購買與產品銷售關係向外伸展的生產網絡,其地理空間結構分布情形,以及二者上下游廠商生產、研發合作網絡之連結關係,及其是否因地理鄰近性而產生影響。
本研究首先藉文獻回顧以瞭解產業生產網絡之特性與型態,以及地理集中現象對於產業群聚及廠商間的互動,具有之衝擊與影響;並針對新竹工業地域之發展情形、產業結構之轉變以及新竹科學工業園區、新竹工業區二大產業聚集地內各項重大產業之網絡連結情形作進一步之探討。再配合問卷調查方式,以得出二工業(園)區廠商生產、研發合作網絡之連結關係與區位選擇考量情形;最後運用二元羅吉特迴歸模式逐步篩選擷取出影響廠商選擇設廠於新竹科學工業園區及新竹工業區之重要變項,並進而分析論述地理鄰近性與生產、研發網絡二者之關係。
本研究實證分析結果如下:一、地理鄰近性與廠商區位之選擇有關;二、新竹科學工業園區呈現跨國界性的生產網絡關係,而新竹工業區則屬於跨區域性之生產網絡;三、新竹科學工業園區內廠商在上下游投入產出關係中是較為密切,這也正是其吸引六大產業廠商在此群聚之原因,同時促使產業群聚現象亦愈為顯著;四、地理空間的鄰近促使互動的限制隨著鄰近性的增加而減少,同時也增加了成員間溝通的速度,故在新竹工業地域產業群聚的環境下,地理的鄰近對新竹科學工業園區及新竹工業區廠商生產網絡之連結建立了更佳的平台;五、地理鄰近對工業(園)區廠商研發合作網絡之形構助益不大,而產業型態之不同,應是彼此合作網絡連結簿弱之主因。
最後建議政府在規劃整體工業(園)區環境時,尤應因應產業性質之不同,提供廠商資訊交流平台,以增進產業交流。同時應協助工業(園)區廠商建立垂直、水平或異業間研發合作網絡關係,俾使彼此互享生存資源並有效降低研發成本與風險,而新產品或技術創新之時間也得以縮短,相互合作進而提升產業競爭能力。此外,日後工業(園)區服務中心除了收取經費或場地租借外,亦應兼具訊息交流功能,並從生產鏈或價值鏈之觀點,尋覓適合之廠商進駐,以活化工業(園)區產業群聚效益,進而促進彼此生產或研發合作網絡連結關係。 / The industry location theory mainly discusses the impact of human activities on space from mainly the economic perspective. Compared with this conventional theory, the network development theory puts a stronger emphasis on the non-economic factors in industrial development and a network system’s construction, development, and interaction in a spatial structure. In recent years, much academic attention has been paid to the study of industrial networks in Taiwan. Many studies have pointed out that a firm and closely-linked network of industrial cooperation is the main source of international competitiveness for Taiwanese firms. Under the promotion of the government, industrial clusters have been created in Hsinchu Science Park and Hsinchu Industrial Park, with each cluster given a specific role and missions. As the two parks are only 10km away from each other, they can be said to have the characteristic of geographic proximity. Therefore, this study was aimed to investigate, from the perspective of geographic proximity, the geographic structure of the production network developed under the demand for raw materials and sales of products among the firms in the two parks. Besides, it further probed into the linkage in production and R&D among upstream/downstream firms in the two parks as well as the impact of geographic proximity on inter-firm cooperation.
Literature review was first conducted to understand the features and patterns of production networks and the impact of geographic concentration on industrial clustering and firm interactions. Geographic development, transformation of structure of industries in Hsinchu and the networks formed by major industries in the two parks were further investigated. Through a questionnaire survey, the linkages in production and R&D among firms in the two parks and factors considered in their location choice were explored. Finally, variables affecting firms’ location choice were progressively extracted using the binary logit model. Based on these variables, the relationship between geographic proximity and production and R&D networks were further analyzed.
From this empirical analysis, the following results were obtained: (1) Geographic proximity is correlated with location choice of firms. (2) The production networks in the Hsinchu Science Park are cross-national, while those in Hsinchu Industrial Park are more cross-regional. (3) Upstream/downstream firms in Hsinchu Science Park have a closer input-output relationship, which is the main reason why firms across six industries cluster in this park and industrial clustering is becoming more significant. (4) Proximity in geographic space reduces constraints on firm interactions and facilitates communications among members. Thus, in Hsinchu where industries cluster, geographic proximity provides a better platform for firms in the both parks to establish production networks. (5) The positive effect of geographic proximity on the buildup of an R&D network among firms in the two parks is limited. Difference in industry patterns is probably the main cause of the weakness of their cooperation linkages.
Finally, the following suggestions were proposed: In the planning of an industrial park, the government should provide a firm information exchange platform according to properties of each industry to facilitate industry exchange. Besides, efforts should be made to assist firms in the park to establish horizontal, vertical or cross-industry R&D networks, so that these firms can share resources of survival and effectively reduce R&D cost and risks. Besides, through cooperation, their new product development or technical innovation time can be shortened and their competitiveness can be enhanced. In the future, in addition to collection of funds or administration of lands, the park service center should also provide information exchange services. From the perspective of production chain or value chain, it can proactively seek suitable firms to move into the park. Thus, the effect of industrial clustering can be increased, and production or R&D network linkages among firms can be further strengthened.
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