知識(shí)溢出視角下產(chǎn)業(yè)集群創(chuàng)新能力實(shí)證研究
[Abstract]:The development of industrial clusters has become an important strategy for the economic transformation and revitalization of old industrial bases. The old industrial bases in Birmingham and Wales, England, take the development of industrial clusters as the main strategic direction, and the industrial clusters in the old industrial bases as the focus, and vigorously promote the product innovation, organizational innovation and institutional innovation of industrial clusters. Forming the industrial organization form of agglomeration, specialization within the industrial cluster and diversification among the industrial clusters, and then promoting the economic transformation and revitalization of the old industrial base. The old industrial base based on natural development should be transformed from resource-oriented to innovation-oriented. Innovation and R & D, knowledge spillover has become the internal power of the development of old industrial base, and the competitiveness is increasingly shown between the possession and utilization of knowledge. Under the background of economic transformation of old industrial base, it is particularly important to study the innovation ability of industrial clusters from the perspective of knowledge spillover. Based on the old industrial base, this paper investigates the innovation ability of industrial clusters from the perspective of knowledge spillover. Based on the research at home and abroad, this paper expounds the theory of knowledge spillover, puts forward the corresponding theoretical hypotheses according to the development status of industrial clusters in various regions of Liaoning Province, and sets up three econometric models to verify the theoretical assumptions put forward. Knowledge spillover can be divided into three parts: Jacobs knowledge spillover, knowledge spillover from per capita education cost, knowledge spillover from R & D process. The enterprise data is divided into cluster level data by using Chinese industrial enterprise database, and the Liaoning industrial cluster is screened according to the needed data index. Finally, 63 industrial clusters in Liaoning Province from 2005 to 2007 were selected as panel data, and an empirical model was constructed for regression analysis. In addition, the virtual variable of technology level and the virtual variable of geographical location are introduced into the model to investigate the influence of different technology level and different geographical location on the innovation ability of industrial cluster. From the regression results of the whole sample, it can be seen that the knowledge spillover in industrial clusters has a positive correlation with the innovation ability of industrial clusters, while knowledge spillover among industrial clusters has no significant impact on the innovation ability of industrial clusters. On this basis, this paper divides the industrial cluster of Liaoning Province into four regions, namely, central Liaoning, southern Liaoning, eastern Liaoning and northwest Liaoning, and investigates the influence of different variables in different regions on the innovation ability of industrial cluster. The results of the study were slightly different from the regression results of the whole sample. Finally, the relationship between knowledge spillover and innovation ability is summarized, and the final conclusion of this paper is obtained, which provides a certain research basis for the revitalization of old industrial base.
【學(xué)位授予單位】:東北大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2014
【分類號(hào)】:F121
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