Proceedings of the 2013 the International Conference on Education Technology and Information System (ICETIS 2013)

Knowledge Spillover Structure within Shanghai Districts: A Spatial Analysis of Aggregation and Correlation

Authors
Anyu Yu, Jie Ma
Corresponding Author
Anyu Yu
Available Online June 2013.
DOI
10.2991/icetis-13.2013.38How to use a DOI?
Keywords
Knowledge Spillover; Spatial Autocorrelation; Gravity Model; Principle Component Analysis
Abstract

According to previous empirical researches in developing nations, study of knowledge spillover effect within urban districts is scarce. Based on the spatial autocorrelation and block analysis, this paper researched on intra-Shanghai knowledge spillover structure with enterprise-level data, by calculating the extent of knowledge aggregation and correlation with methods of local Geary’s C statistics and Concor algorithm. The results of aggregation analysis and correlation analysis highlight that knowledge stocks volume within different Shanghai districts are various, which indicates that knowledge spillover effects in Shanghai are unbalanced. According to unbalanced knowledge spillover effects, Shanghai could be divided into four regions. For each region, this paper finally outlines a few scenarios to enhance knowledge spillover effect

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2013 the International Conference on Education Technology and Information System (ICETIS 2013)
Series
Advances in Intelligent Systems Research
Publication Date
June 2013
ISBN
10.2991/icetis-13.2013.38
ISSN
1951-6851
DOI
10.2991/icetis-13.2013.38How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Anyu Yu
AU  - Jie Ma
PY  - 2013/06
DA  - 2013/06
TI  - Knowledge Spillover Structure within Shanghai Districts: A Spatial Analysis of Aggregation and Correlation
BT  - Proceedings of the 2013 the International Conference on Education Technology and Information System (ICETIS 2013)
PB  - Atlantis Press
SP  - 170
EP  - 175
SN  - 1951-6851
UR  - https://doi.org/10.2991/icetis-13.2013.38
DO  - 10.2991/icetis-13.2013.38
ID  - Yu2013/06
ER  -