地理科学 ›› 2013, Vol. 33 ›› Issue (10): 1180-1187.doi: 10.13249/j.cnki.sgs.2013.010.1180

• • 上一篇    下一篇

基于不同时空尺度的知识溢出网络结构特征研究

李丹丹1,2, 汪涛3(), 周辉4   

  1. 1.中国科学院南京地理与湖泊研究所,江苏 南京210008
    2.中国科学院大学,北京 100049
    3.南京师范大学地理科学学院,江苏 南京 210023
    4.聊城市国土资源局,山东 聊城 252000
  • 收稿日期:2013-01-06 修回日期:2013-06-09 出版日期:2013-10-20 发布日期:2013-10-20
  • 作者简介:

    作者简介: 李丹丹(1988-),女,河南焦作人,博士研究生。主要从事产业集聚、区域创新与知识网络研究。E-mail: ddli@niglas.ac.cn

  • 基金资助:
    国家自然科学基金项目(40971069,41130750,41329001)、国家软科学项目(2013GXS4D116)、江苏软科学项目(BR2013079)和ISTIC-THOMSON科学计量学联合实验室开放基金资助

The Structural Characteristics of Knowledge Spillover Networks Based on Different Spatial and Temporal Scales

Dan-dan LI1,2, Tao WANG3(), Hui ZHOU4   

  1. 1. Nanjing Institute of Geography & Limnology, Chinese Academy of Sciences, Nanjing ,Jiangsu 210008, China
    2. University of Chinese Academy of Sciences, Beijing 100049, China
    3. School of Geography Science, Nanjing Normal University, Nanjing ,Jiangsu 210023, China
    4. Liaocheng Municipal Bureau of Land and Resources, Liaocheng, Shandong 252000, China
  • Received:2013-01-06 Revised:2013-06-09 Online:2013-10-20 Published:2013-10-20

摘要:

知识溢出的多空间尺度耦合、空间知识溢出的测度以及空间知识溢出的机制是近期国内外有关知识溢出地理效应研究的主要新动向。借助科学计量学追踪知识溢出的方法,以2000~2009年被国际ISI及国内重庆维普数据库收录的,中国大学和科研院所等机构在生物技术领域合作发表科学论文的信息为数据源,从社会网络的视角,运用社会网络分析和GIS空间分析方法,分别以国家、省份和城市为单元,从国际、国家和长三角层面(区域),分析2000年以来,中国大学和科研院所知识溢出网络的拓扑结构和空间结构变动特征,并从地理距离、社会距离、认知距离、组织距离等方面探讨影响知识溢出效应的机理。研究发现:① 2003~2004年为知识溢出网络发展的拐点期;② 国际和国家层面网络接近小世界网络,长三角层面的网络体现出更多的随机网络特征;③ 知识在国际层面的空间溢出具有明显的路径依赖性,主要受到社会距离和组织距离的影响;④ 在国家层面呈现由三角形向钻石形发展的趋势,随着网络发育的日益成熟,地理距离的影响逐步减弱,社会距离和组织距离的影响得以加强;⑤ 在长三角层面总体上呈现三点一线特征,地理距离在区域尺度的影响最为显著,知识溢出既遵循了等级扩散的规律,也体现了距离衰减的特点。

关键词: 知识溢出, 社会网络, 科学计量学, 创新政策

Abstract:

In recent years, there are some trends in the research field of geographical effect of knowledge spillovers, such as coupling of knowledge spillovers between various space scales, measuring the space track of knowledge spillovers, and exploration the mechanism of spatial knowledge spillovers. By using the metrology of tracking knowledge spillovers from Scientometrics, this article takes statistical data of the scientific papers published in cooperation about the biotechnology both in the database of Thompson R ISI Web of Knowledge (ISI) and Chinese Scientific and Technical Journals (Journal of Chongqiing VIP) from 2000 to 2009 as data source. From the perspective of social network, using countries, provinces and cities as nodes, the knowledge spillover networks is constructed respectively at international, national and regional (the Yangtze Delta) levels. By using the Social Network Analysis (SNA) and the GIS spatial analysis method, this article analysis the topological and spatial structure characteristics of the knowledge spillover networks since 2000, and study the Influence factors of knowledge spillover effects from the perspective of geographic distance, cognitive distance, social distance and organization distance. The results show that: 1)The period of 2003-2004 is the turning period of the development of knowledge spillover network; 2) The networks are more like small-world networks at international and national level, but at the Yangtze Delta level, the characteristics of networks are closed to random network; 3)The spatial spillovers of knowledge are path dependence at international level, and mainly affected by the social distance and organizational distance; 4)At the national level, the spatial distribution of network present the trend from triangle form to diamond form. With the maturity of network, the influences of geographical distance gradually diminishing, on the contrary, the influences of social distance and organizational distance gradually strengthen; 5)At the regional level of the Yangtze Delta, the spatial distribution of network appears three point and one line features, and geographical distance plays a significant impact at the regional scale, which means knowledge spillovers not only follow the law of hierarchical diffusion, but also reflect the characteristics of distance decay.

Key words: knowledge spillover, social network, scientometrics, innovation policy

中图分类号: 

  • F224