Proceedings of the 2017 7th International Conference on Education, Management, Computer and Society (EMCS 2017)

Empirical Analysis of Low-Carbon Innovation System Construction from low-carbon Listed Companies

Authors
Tingfa Zhang
Corresponding Author
Tingfa Zhang
Available Online March 2017.
DOI
10.2991/emcs-17.2017.219How to use a DOI?
Keywords
Low-carbon; Innovation ability; Enterprise innovation; Innovation system
Abstract

The low-carbon innovation factor system is a collection of many elements that affect the organization's low-carbon independent innovation activities, which form the organization's low-carbon innovation capacity through interaction, which is also a constituent element of organizational low-carbon innovation. By means of China's 225 listed low-carbon companies as samples, a low carbon innovation ability index system which uses factor analysis is built on the basis of theoretical analysis and comparison.

Copyright
© 2017, 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 2017 7th International Conference on Education, Management, Computer and Society (EMCS 2017)
Series
Advances in Computer Science Research
Publication Date
March 2017
ISBN
10.2991/emcs-17.2017.219
ISSN
2352-538X
DOI
10.2991/emcs-17.2017.219How to use a DOI?
Copyright
© 2017, 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  - Tingfa Zhang
PY  - 2017/03
DA  - 2017/03
TI  - Empirical Analysis of Low-Carbon Innovation System Construction from low-carbon Listed Companies
BT  - Proceedings of the 2017 7th International Conference on Education, Management, Computer and Society (EMCS 2017)
PB  - Atlantis Press
SP  - 1143
EP  - 1148
SN  - 2352-538X
UR  - https://doi.org/10.2991/emcs-17.2017.219
DO  - 10.2991/emcs-17.2017.219
ID  - Zhang2017/03
ER  -