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机构地区:[1]华东师范大学中国现代城市研究中心,上海200062 [2]华东师范大学商学院,上海200241
出 处:《地理科学》2014年第9期1051-1059,共9页Scientia Geographica Sinica
基 金:国家社会科学重大项目(10ZD&016);国家自然基金面上项目(41071093;41371147);德国科学基金会(LI 981/8-1AOBJ:595493)资助
摘 要:利用国家重点产业专利信息服务平台,对长三角装备制造业联合申请发明专利数据进行检索,绘制了长三角地区企业、厂、公司与高校、科研机构之间的产学研创新网络,从节点、部类、城市、区域等4个层面,采用中心度、网络密度等网络结构指标,对1985~2010年长三角装备制造业产学研创新网络的结构及空间特征进行分析。研究发现,长三角装备制造业产学研创新网络的演化具有明显的阶段性特征,中心度较高的成员多为高校,区域内各城市的产学研空间分异特征明显,地理邻近、行政邻近及知识规模邻近是影响行为主体建立创新合作联系重要的因素,网络建构处于初级阶段。Network perspective has already been applied in diverse areas. However, the adoption of innovation network formed by companies, universities and research institutes is not as common and integrated as that the academic research might have emphasized, especially the equipment manufacturing industry in the Changjiang River Delta of China. This article, using data from the national key industry patent information service plat- form, focuses on the structural and spatial characteristics of the innovation network from 1985 to 2010. Combin- ing the judgment that universities have been the main forces in the field of public research since 2000, we ana- lyze the evolution of the innovation network in terms of node type, segmented industry category and location by four stages in 1985-1999, 2000-2005, 2006-2008 and 2009-2010. Utilizing the analytical approach of the so- cial network, there are some main conclusions drawn from the research. 1) Features of innovation network of equipment manufacturing industry in the Changjiang River Delta have changed obviously from 1985 to 2010, showing a "core-periphery" paradigm. The bidirectional interaction of cooperative innovation mechanism be- tween universities and companies has not yet been established. It still stays at the initial stage. 2) From the spa- tial characteristics of the network during 1985-2010, cities have different characteristics individually. Although other cities out of the region, such as Beijing, have become a powerful knowledge pool, cities located in the re- gion of Changjiang River Delta still tend to cooperate with local universities or research institutions. It is obvi- ous that geographic proximity, administrative proximity and knowledge size proximity become the most impor- tant factors which influence agents to build the cooperation networks. 3) In order to promote the performance of innovation network, the article deems that we should select key enterprises, firms and factories. By supporting the central nodes, establishing the knowledge tran
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