Proceedings of the 2017 International Seminar on Artificial Intelligence, Networking and Information Technology (ANIT 2017)

Government Subsidies, Spatial Agglomeration and Innovation Performance--An empirical study of industrial policy disputes

Authors
Rongjian Yu, Jinwei Wang
Corresponding Author
Rongjian Yu
Available Online December 2017.
DOI
https://doi.org/10.2991/anit-17.2018.46How to use a DOI?
Keywords
government subsidies, location choice, spatial agglomeration, innovation performance.
Abstract
This paper uses the panel data of high-tech industry enterprises to study the impact of government subsidies on enterprise innovation performance. And test whether the government subsidy policy affects the location choice of enterprises, further enhancing the spatial agglomeration, Making the government subsidy policy indirectly play an innovation effect. The empirical results show that government subsidies can actively promote the innovation performance of enterprises, but the government subsidies do not significantly affect the location choice of enterprises or enhance the spatial agglomeration of enterprises in the region. This shows that the government subsidy policy plays a single role in the innovation effect, and fails to form a close relationship with the market mechanism of the spatial agglomeration effect.
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Proceedings
2017 International Seminar on Artificial Intelligence, Networking and Information Technology (ANIT 2017)
Part of series
Advances in Intelligent Systems Research
Publication Date
December 2017
ISBN
978-94-6252-447-7
ISSN
1951-6851
DOI
https://doi.org/10.2991/anit-17.2018.46How 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  - Rongjian Yu
AU  - Jinwei Wang
PY  - 2017/12
DA  - 2017/12
TI  - Government Subsidies, Spatial Agglomeration and Innovation Performance--An empirical study of industrial policy disputes
BT  - 2017 International Seminar on Artificial Intelligence, Networking and Information Technology (ANIT 2017)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/anit-17.2018.46
DO  - https://doi.org/10.2991/anit-17.2018.46
ID  - Yu2017/12
ER  -