Please wait a minute...
New Technology of Library and Information Service  2011, Vol. 27 Issue (5): 62-68    DOI: 10.11925/infotech.1003-3513.2011.05.10
Current Issue | Archive | Adv Search |
Influence Factors of the Spatial Distribution of Academic Information on Internet of China——An Empirical Research Based on Spatial Statistic
Su Jinyan
Bibliometrics and Science Research Centre, Chinese Academy of Social Science, Beijing 100732, China
Export: BibTeX | EndNote (RIS)      
Abstract  According to the sample collected by search engines, the Spatial Error Model (SEM), considering spatial dependence of academic information on Internet is established, which is a quantitative method to analyze the spatial agglomeration phenomenon of academic information on Internet. It is found that spatial dependence exists and SEM is the best model when analyzing this problem. Five factors are main influence factors of spatial distribution of academic information on Internet,and they are economic development level, size of research team, network development level, population base and number of urban residents.
Key wordsAcademic information on Internet      Spatial distribution      Spatial statistic      Influence factors     
Received: 29 March 2011      Published: 11 July 2011



Cite this article:

Su Jinyan. Influence Factors of the Spatial Distribution of Academic Information on Internet of China——An Empirical Research Based on Spatial Statistic. New Technology of Library and Information Service, 2011, 27(5): 62-68.

URL:     OR

[1] 苏金燕, 邱均平. 网络学术信息的地理空间集聚研究[J]. 图书情报知识 ,2011(2): 56-63.

[2] 陈传夫, 王云娣. 机构典藏资源的分布及获取策略研究[J]. 中国图书馆学报 , 2008,34(1): 69-71.

[3] 苏金燕. 网络学术信息空间依赖性研究[J]. 现代图书情报技术 , 2011(2): 62-68.

[4] Griliches Z. Issues in Assessing the Contribution of R&D to Productivity Growth[J]. Bell Journal of Economics, 1979(10): 92-116.

[5] Jaffe A B. Real Affects of Academic Research[J]. American Economics Review, 1989,79(5): 970-975.

[6] Fischer M M, Varga A. Production of Knowledge and Geographically Mediated Spillovers from Universities International . In: Proceedings of the 41st Congress of the European Regional Science Association, Zagreb, Croatia.2001.

[7] Greunz L. Geographically and Technologically Mediated Knowledge Spillovers Between European Regions[J]. Annals of Regional Science, 2003,37(4): 657-680.

[8] Anselin L. Spatial Econometrics: Methods and Models[M]. Dordrecht: Kluwer Academic, 1988.

[9] Anselin L, Varga A, Acs Z. Local Geographic Spillovers Between University Research and High Technology Innovations[J]. Journal of Urban Economics, 1997,43(3): 422-448.

[10] 吴延兵. 知识生产及其影响因素——基于中国地区工业的实证研究[J]. 世界经济文汇 , 2009(2): 57-73.

[11] 陶长琪, 齐亚伟. R&D投入的影响因素与知识生产函数的应用研究——基于中国区域的面板数据分析[J]. 科技管理研究, 2008, 28(7): 155-158.

[12] 向希尧, 蔡虹. 试论地理距离与社会距离对知识溢出的影响——基于专利引用研究视角[J]. 外国经济与管理 , 2008,30(11): 18-26.

[13] 孙兆刚, 王鹏, 陈傲. 技术差距对知识溢出的影响分析[J]. 科技进步与对策 , 2006,23(7): 165-167.

[14] 钱晓烨, 迟巍, 黎波. 人力资本对我国区域创新及经济增长的影响——基于空间计量的实证研究[J]. 数量经济技术经济研究 , 2010(4): 107-121.

[15] GSISS-Spatial Tools-GeoDa [EB/OL].[2010-03-15].

[16] 吴玉鸣. 中国区域研发、知识溢出与创新的空间计量经济研究[M]. 北京: 人民出版社, 2007.

[17] 王贤文. 基于GIS的区域科技发展空间结构与合作网络分析 . 大连:大连理工大学, 2009.

[18] 吴玉鸣, 何建坤. 研发溢出、区域创新集群的空间计量经济分析[J]. 管理科学学报 , 2008(4): 59-66.

[19] 李纪生, 陈超. 省域农业科研投资生产率增长效应的空间计量分析[J]. 中国人口·资源与环境 , 2010, 20(7): 164-169.
[1] Su Jinyan. Study on Spatial Dependence of Academic Information on Internet[J]. 现代图书情报技术, 2011, 27(2): 62-68.
[2] Tian Hui,Cao Feifei,Li Pengxiang. Theory Basis of Application of Human Network in the Competitive Intelligence Activity[J]. 现代图书情报技术, 2007, 2(9): 1-5.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938