| 中国电子信息产业创新的集群网络模式与演化路径 |
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| 引用本文： | 周灿,曹贤忠,曾刚.中国电子信息产业创新的集群网络模式与演化路径[J].地理研究,2019,38(9):2212-2225. |
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| 作者姓名： | 周灿 曹贤忠 曾刚 |
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| 作者单位： | 浙江工商大学经济学院,杭州,310018;华东师范大学中国现代城市研究中心,上海,200062 |
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| 基金项目： | 教育部人文社科基地重大项目(17JJD790006);国家自然科学基金青年项目(41801109) |
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| 摘 要： | 流空间背景下,多空间尺度网络耦合对创新至关重要已达成学界共识。综合运用区位熵与社会网络分析,识别32个电子信息产业集群,进而基于1985—2015年合作申请发明专利数据,运用卡方检验和Infomap社区发现算法,借助Pajek和ArcGIS等软件,揭示中国电子信息产业创新合作空间模式,探讨创新网络空间组织演化规律。结果表明：① 中国电子信息产业创新合作呈现集群互联的模式,集群区域的创新主体更倾向于同本地和其他集群区域的创新主体合作,这与非集群区域的创新主体结网方式明显不同,印证了关系经济地理学者提出的全球集群网络论断。② 集群创新网络社区的空间组织从位于集群地理边界内,本地化特征显著,演化为超越集群地理边界,呈现等级差异明显的核心-边缘层级式特征,反映出地理邻近对集群主体创新结网影响程度的动态变化。
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| 关 键 词： | 创新网络 集群网络 演化路径 电子信息产业 中国 |
| 收稿时间： | 2018-09-03 |
| 修稿时间： | 2019-06-06 |
Cluster networks and evolution path of China’s electronic information industry innovation |
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| ZHOU Can,CAO Xianzhong,ZENG Gang.Cluster networks and evolution path of China’s electronic information industry innovation[J].Geographical Research,2019,38(9):2212-2225. |
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| Authors: | ZHOU Can CAO Xianzhong ZENG Gang |
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| Institution: | 1. School of Economics, Zhejiang Gongshang University, Hangzhou 310018, China;2. Center for Modern Chinese City Studies, East China Normal University, Shanghai 200062, China |
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| Abstract: | With the change of ‘space of places’ to ‘space of flows’, the knowledge flows and innovation linkages at different spatial scales have attracted the attention of economic geographers. It is an academic consensus that multi-scale networks coupling is critical to innovation. In line with other theorizations of trans-local linkages at various scales, relational economic geographers develop a framework of global cluster networks. From the network perspective of multi-cluster level, our paper takes China’s electronic information industry as the objects. We identify 32 electronic information industrial clusters in China by using location quotient and social network analysis. Drawing on chi-square test and community detection, we analyze spatial pattern and evolution path of China’s electronic information industry innovation networks based on the co-patent data issued by the National Intellectual Property Administration of China (CNIPA) from 1985 to 2015. The main findings of this study are drawn as follows. (1) The innovation of China’s electronic information industry shows a pattern of cluster networks. The innovation actors in cluster area have significant difference in spatial location from innovation actors in non-cluster area while choosing innovation partners due to a comprehensive consideration of local knowledge spillover and cross-regional ‘tacit knowledge pool’. As a result, they prefer to cooperate with the innovators in local and other clusters for the reason that cluster is helpful for knowledge acquisition and collective learning. This finding offers support for ‘global cluster networks’ hypothesis proposed by relationship economic geographers. (2) Our analysis reveals that geographic boundaries of industrial clusters have become a poor predictor of the community structure of cluster innovation networks along with the development of China’s electronic information industry. The community structure of cluster innovation networks has gradually changed from the geographic boundaries of clusters with a significant characteristic of localization to a pattern that local communities and cross-cluster communities coexist, to a hierarchical structure that surpasses the geographic boundaries of clusters. Overall, because of cognitive proximity and social proximity, cluster actors have largely expanded their innovation connections with actors located in other clusters. |
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| Keywords: | innovation networks cluster networks evolution path electronic information industry China |
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