Proceedings of the 2016 International Conference on Advances in Management, Arts and Humanities Science

Chongqing High-tech Industry Performance Evaluation

Authors
Lihua Yang, Wenbin Ma
Corresponding Author
Lihua Yang
Available Online December 2016.
DOI
https://doi.org/10.2991/amahs-16.2016.51How to use a DOI?
Keywords
High-tech industry, Innovation Performance, Super Efficiency DEA Approach, Autoregressive Distributed Lag Model
Abstract

The technology innovation performance of high tech industry in Chongqing 1997-2013 is studied by using the super efficiency DEA and ARDL model. Firstly,the relative effective and invalid years of DEA are analyzed from the technology and scale of input output,and the projection value of the invalid years is improved. Secondly,the introduction of lag concept,the ARDL model to analyze the regional investment the influence degree of the factors on innovation output. Finally,this paper puts forward the pertinence suggestion of improving the technological innovation performance of high tech industry in Chongqing.

Copyright
© 2016, 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 2016 International Conference on Advances in Management, Arts and Humanities Science
Series
Advances in Social Science, Education and Humanities Research
Publication Date
December 2016
ISBN
978-94-6252-266-4
ISSN
2352-5398
DOI
https://doi.org/10.2991/amahs-16.2016.51How to use a DOI?
Copyright
© 2016, 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  - Lihua Yang
AU  - Wenbin Ma
PY  - 2016/12
DA  - 2016/12
TI  - Chongqing High-tech Industry Performance Evaluation
BT  - Proceedings of the 2016 International Conference on Advances in Management, Arts and Humanities Science
PB  - Atlantis Press
SP  - 244
EP  - 250
SN  - 2352-5398
UR  - https://doi.org/10.2991/amahs-16.2016.51
DO  - https://doi.org/10.2991/amahs-16.2016.51
ID  - Yang2016/12
ER  -