知识溢出视角下产业集群创新能力实证研究
发布时间：2018-07-17 08:31
【摘要】：发展产业集群已经成为老工业基地实现经济转型和振兴的重要战略。英国伯明翰、威尔士等国外老工业基地将发展产业集群作为主要战略方向,将发展老工业基地中的产业集群作为重点,大力促进产业集群产品创新、组织创新、制度创新、形成集聚化、产业集群内专业化、产业集群间多样化的产业组织形式,进而有力的推动老工业基地经济转型与振兴。将自然开发为主的老工业基地从资源主导型向创新主导型转变。创新研发、知识溢出成为老工业基地发展的内在动力,竞争力的大小日益表现为知识的占有和利用之间。以老工业基地经济转型为背景研究知识溢出视角下产业集群创新能力就显得尤为重要。本文以老工业基地为背景,从知识溢出的角度考察产业集群创新能力。本文在国内外研究基础上,阐述知识溢出理论,根据辽宁省各个地区产业集群发展现状提出相应的理论假设,设定3个计量模型对提出的理论假设进行验证。并将知识溢出分为MAR知识溢出、Jacobs知识溢出、人均教育费用产生的知识溢出、研发过程产生的知识溢出。利用中国工业企业数据库对企业数据信息进行划分,将企业层面数据划分为集群层面数据,根据所需数据指标,对辽宁省产业集群进行筛选,最终选取辽宁省2005～2007年63个产业集群为面板数据,构建实证模型进行回归分析。此外,将技术水平虚拟变量以及地理位置虚拟变量引入到模型中,考察不同技术水平以及不同地理位置对产业集群创新能力的影响。从全样本的回归结果中可以看出,产业集群内知识溢出对产业集群创新能力呈正相关关系,而产业集群间知识溢出对产业集群创新能力影响不显著。在此基础上,本文进步将辽宁省产业集群划分为辽中、辽南、辽东、辽西北四个地区,分别考察不同地区各个变量对产业集群创新能力的影响,研究结果与全样本做出的回归结果略有不同。最后对知识溢出和创新能力之间的关系进行总结归纳,得出本文最终研究结论,为老工业基地振兴提供一定的研究基础。
[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.
【学位授予单位】：东北大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：F121
本文编号：2129814
[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.
【学位授予单位】：东北大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：F121
【参考文献】
相关期刊论文 前10条
1 张宇帆;丁晓燕;;东北老工业基地振兴的成就与对策[J];经济纵横;2013年06期
2 杨扬;李采薇;;东北老工业基地产业集群竞争态势及对策分析[J];当代经济;2013年07期
3 孟韬;;从国有企业到产业集群:老工业基地集群创新的演化分析[J];经济管理;2012年05期
4 陈伟;马一博;;高等教育创新能力与产业绩效关联度研究[J];学习与探索;2011年06期
5 侯晓辉;王青;冯宗宪;;自主研发、技术引进与中国工业行业的技术创新[J];研究与发展管理;2011年05期
6 彭向;蒋传海;;产业集聚、知识溢出与地区创新——基于中国工业行业的实证检验[J];经济学(季刊);2011年03期
7 任胜钢;胡春燕;王龙伟;;我国区域创新网络结构特征对区域创新能力影响的实证研究[J];系统工程;2011年02期
8 王青;冯宗宪;侯晓辉;;自主创新与技术引进对我国技术创新影响的比较研究[J];科学学与科学技术管理;2010年06期
9 泮策;;产业集群与区域经济增长——基于浙江诸暨大唐袜业集群的分析[J];现代营销(学苑版);2010年03期
10 纪玉俊;;基于网络组织的产业集群分析[J];财经科学;2010年02期
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