| 区域间专利转让的网络结构研究 |
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| 引用本文： | 谢祥,高新宇,李志鹏,肖尤丹.区域间专利转让的网络结构研究[J].科技管理研究,2019,39(7). |
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| 作者姓名： | 谢祥 高新宇 李志鹏 肖尤丹 |
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| 作者单位： | 北京交通大学经济管理学院,北京,100044;中国科学院科技战略咨询研究院,北京100190;中国科学院大学公共政策与管理学院,北京100049 |
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| 基金项目： | 国家自然科学基金项目“开放环境下我国高校科技评价体系研究”（71573011） |
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| 摘 要： | 基于社会网络分析的方法，构建我国区域间专利转让的网络结构，了解2016年我国各省、市、自治区的跨区域专利转让情况。并通过计算各节点的点度中心度，分类聚类，构建“核心-边缘”网络结构模型等方法，对我国31个省、市、自治区专利转让的网络结构、区块特征等进行分析，得出以北京市、上海市和江苏省为首，我国在各省、市、自治区之间已经建立了较为广泛但还不够成熟的区域间专利转让网络，其专利转让大致保持在一个较为稳定的状态，只有陕西省和广东省在专利输出和吸纳方面具有较大的差异，除北京市、上海市、江苏省以及浙江省之外，其余区域在网络结构中均属于边缘节点，在整体网络结构中参与度较低。最后在得出所有研究结论的基础上，提出提升我国区域间专利转让效果的政策与启示。
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| 关 键 词： | 专利转让 社会网络分析 聚类分析 区块特征 “核心-边缘”分析 |
| 收稿时间： | 2018/6/4 0:00:00 |
| 修稿时间： | 2019/3/26 0:00:00 |
Research on the Network Structure of Interregional Patent Transfer |
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| Abstract: | Based on the method of social network analysis, this paper constructs a network structure for the interregional patent transfer in China to understand the situation of it among each province in 2016. Through calculating the degree of each node''s centrality, clustering , building a "core-periphery" network architecture model and other methods, the network structure and block characteristics of patent transfer among 31 provinces in China are analyzed. Then this paper gives a conclusion that taking Beijing, Shanghai and Jiangsu Provinces as typical examples, China has established a relatively wide but not so mature interregional patent transfer network among provinces, and the situation of them have generally maintained a relatively stable state, except that Shaanxi Province and Guangdong Province have big patent output and absorption difference. With the exception of Beijing, Shanghai, Jiangsu and Zhejiang Province, all other provinces belong to the marginal nodes in the network structure, and their participation in the overall network structure is relatively low. Finally, on the basis of drawing all the research conclusions, the paper puts forward the policy and enlightenment of improving the effect of interregional patent transfer in China. |
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| Keywords: | Patent Transfer Social Network Analysis Cluster Analysis Block Features & quot Core-periphery& quot Analysis |
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