Proceedings of the 2016 4th International Education, Economics, Social Science, Arts, Sports and Management Engineering Conference (IEESASM 2016)

A Kernel Function DEA Method for Efficiency Evaluation of Technological Innovation in Scientific Research Institutions

Authors
Nuonuo Shang
Corresponding Author
Nuonuo Shang
Available Online September 2016.
DOI
10.2991/ieesasm-16.2016.159How to use a DOI?
Keywords
Technology Innovation; Efficiency Evaluation; Kernel Function; DEA Method
Abstract

To improve the efficiency of technology innovation is to improve the important way of innovation output. Therefore, this paper presents a kind of kernel DEA method, designs the index system of inputs and outputs, maps input indicators to a new dimension space by kernel function. Combined with BCC model to evaluate the method, the experiment proves the effect of this method in efficiency evaluation for technological innovation in scientific research institutions.

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 4th International Education, Economics, Social Science, Arts, Sports and Management Engineering Conference (IEESASM 2016)
Series
Advances in Economics, Business and Management Research
Publication Date
September 2016
ISBN
978-94-6252-230-5
ISSN
2352-5428
DOI
10.2991/ieesasm-16.2016.159How 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  - Nuonuo Shang
PY  - 2016/09
DA  - 2016/09
TI  - A Kernel Function DEA Method for Efficiency Evaluation of Technological Innovation in Scientific Research Institutions
BT  - Proceedings of the 2016 4th International Education, Economics, Social Science, Arts, Sports and Management Engineering Conference (IEESASM 2016)
PB  - Atlantis Press
SP  - 763
EP  - 766
SN  - 2352-5428
UR  - https://doi.org/10.2991/ieesasm-16.2016.159
DO  - 10.2991/ieesasm-16.2016.159
ID  - Shang2016/09
ER  -