Proceedings of the 2nd International Conference on Culture, Education and Economic Development of Modern Society (ICCESE 2018)

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Measurement and Evaluation of Industrial Cluster in China

Authors
Xiaoyan Wang
Corresponding Author
Xiaoyan Wang
Available Online March 2018.
DOI
10.2991/iccese-18.2018.251How to use a DOI?
Keywords
industrial clusters; location quotient; input-output method
Abstract

Identification of industrial cluster is an important foundation to quantitatively evaluate the performance of industrial cluster. The identification methods have been used to identify the initial cluster cultivate does not apply to some. In this paper, for the need of strategic assessment of the progress in the areas of the economic transformation, we make comments on these first. Then we set out our views. That is, we decide whether it is industry Cluster with the improved location quotient and the input-output method.

Copyright
© 2018, 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 2nd International Conference on Culture, Education and Economic Development of Modern Society (ICCESE 2018)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
March 2018
ISBN
978-94-6252-495-8
ISSN
2352-5398
DOI
10.2991/iccese-18.2018.251How to use a DOI?
Copyright
© 2018, 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

risenwbib
TY  - CONF
AU  - Xiaoyan Wang
PY  - 2018/03
DA  - 2018/03
TI  - Measurement and Evaluation of Industrial Cluster in China
BT  - Proceedings of the 2nd International Conference on Culture, Education and Economic Development of Modern Society (ICCESE 2018)
PB  - Atlantis Press
SP  - 1122
EP  - 1124
SN  - 2352-5398
UR  - https://doi.org/10.2991/iccese-18.2018.251
DO  - 10.2991/iccese-18.2018.251
ID  - Wang2018/03
ER  -