Proceedings of the 2015 International Conference on Industrial Technology and Management Science

The Intelligence Industry: Guiding the New Way of Industrial Innovation Evidence from Hi-Tech Parks of PRD

Authors
Li. Zhou
Corresponding Author
Li. Zhou
Available Online November 2015.
DOI
10.2991/itms-15.2015.398How to use a DOI?
Keywords
intelligence industry; four industries' classification model; industrial innovation; Hi-Tech parks
Abstract

The research aims to find out the new driving force during the economic slowdown to fit the Chinese “new normal phase”. Through case study in Hi-Tech parks of PRD, the research finds evidences to confirm that the emergence and boom of the intelligence industry is guiding the new way of industrial innovation either in manufacturing cities or special economic zone, which also suggests that four industries classification model has replaced the traditional one to better reflect the real conditions of modern industrial structure and manifest the times' feature and industrial sophistication.

Copyright
© 2015, 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 2015 International Conference on Industrial Technology and Management Science
Series
Advances in Computer Science Research
Publication Date
November 2015
ISBN
978-94-6252-123-0
ISSN
2352-538X
DOI
10.2991/itms-15.2015.398How to use a DOI?
Copyright
© 2015, 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  - Li. Zhou
PY  - 2015/11
DA  - 2015/11
TI  - The Intelligence Industry: Guiding the New Way of Industrial Innovation Evidence from Hi-Tech Parks of PRD
BT  - Proceedings of the 2015 International Conference on Industrial Technology and Management Science
PB  - Atlantis Press
SP  - 1635
EP  - 1638
SN  - 2352-538X
UR  - https://doi.org/10.2991/itms-15.2015.398
DO  - 10.2991/itms-15.2015.398
ID  - Zhou2015/11
ER  -