Proceedings of the 2017 International Conference on Economics, Finance and Statistics (ICEFS 2017)

A study on the motivation of knowledge spillovers under the influence of high speed railway

Authors
Chongren Bi, Yun Zhao
Corresponding Author
Chongren Bi
Available Online January 2017.
DOI
https://doi.org/10.2991/icefs-17.2017.83How to use a DOI?
Keywords
Knowledge spillovers, high speed railway, spatial econometric model.
Abstract
In order to estimate the influence of high speed railway on the knowledge spillovers among different provinces, this paper defines the connotation of knowledge spillovers. According to the analysis framework of knowledge spillover, the SAR/SDM panel data model are established based on the spatial econometric model to analysis the spatial change of knowledge innovation process. The results proved the existence of knowledge spillovers, and analyzed the different motivation of spatial spillover. The main reason for the spatial spillover of knowledge innovation is the path dependence caused by the time lag effect. Based on the analysis of knowledge spillovers in knowledge innovation, it can be found that regional innovation tends to agglomeration under the spillover effect of high speed railway, while regional production tends to be dispersed.
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Proceedings
2017 International Conference on Economics, Finance and Statistics (ICEFS 2017)
Part of series
Advances in Economics, Business and Management Research
Publication Date
January 2017
ISBN
978-94-6252-311-1
ISSN
2352-5428
DOI
https://doi.org/10.2991/icefs-17.2017.83How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Chongren Bi
AU  - Yun Zhao
PY  - 2017/01
DA  - 2017/01
TI  - A study on the motivation of knowledge spillovers under the influence of high speed railway
BT  - 2017 International Conference on Economics, Finance and Statistics (ICEFS 2017)
PB  - Atlantis Press
SP  - 585
EP  - 589
SN  - 2352-5428
UR  - https://doi.org/10.2991/icefs-17.2017.83
DO  - https://doi.org/10.2991/icefs-17.2017.83
ID  - Bi2017/01
ER  -