The Study of Regional R&D Innovation Efficiency Based on Improved Two-Stage DEA Model: Evidence from 30 Provinces of China

Yuyu Li; Bo Huang; Bo Fu

doi:doi:10.11648/j.si.20180602.15

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The Study of Regional R&D Innovation Efficiency Based on Improved Two-Stage DEA Model: Evidence from 30 Provinces of China

Yuyu Li, Bo Huang, Bo Fu

Published in Science Innovation (Volume 6, Issue 2)

Received: 20 June 2018 Accepted: Published: 22 June 2018

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Abstract

The improved two-stage DEA model removed constrains that efficiency values of decision making units are not greater than one by means of the handling method in super-BCC model. In this way, those efficient DMUs were separated from the efficient frontier and therefore the problem that they were unable to sort in the traditional two-stage DEA model. In the meantime, this improved model gave full consideration to the dual role of intermediate outputs and the influence of scale effect， which gave the evaluation results larger reference value. Lastly, the case study of 30 provinces demonstrated the feasibility and rationality of the improved model. It is found that the level of research and innovation efficiency in east China is the highest; the comprehensive efficiency and stage efficiency of mid-south and north China are high; the comprehensive efficiency level in southwest and northwest China is high while the efficiency of scientific research and development is low; the efficiency of research and innovation in northeast China is lowest.

Published in	Science Innovation (Volume 6, Issue 2)
DOI	10.11648/j.si.20180602.15
Page(s)	80-86
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Improved Two-Stage DEA Model, Ranking of Efficient DMUs, Intermediate Outputs, Dual Role, Scale Effect

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Yuyu Li, Bo Huang, Bo Fu. (2018). The Study of Regional R&D Innovation Efficiency Based on Improved Two-Stage DEA Model: Evidence from 30 Provinces of China. Science Innovation, 6(2), 80-86. https://doi.org/10.11648/j.si.20180602.15

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ACS Style

Yuyu Li; Bo Huang; Bo Fu. The Study of Regional R&D Innovation Efficiency Based on Improved Two-Stage DEA Model: Evidence from 30 Provinces of China. Sci. Innov. 2018, 6(2), 80-86. doi: 10.11648/j.si.20180602.15

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AMA Style

Yuyu Li, Bo Huang, Bo Fu. The Study of Regional R&D Innovation Efficiency Based on Improved Two-Stage DEA Model: Evidence from 30 Provinces of China. Sci Innov. 2018;6(2):80-86. doi: 10.11648/j.si.20180602.15

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@article{10.11648/j.si.20180602.15,
  author = {Yuyu Li and Bo Huang and Bo Fu},
  title = {The Study of Regional R&D Innovation Efficiency Based on Improved Two-Stage DEA Model: Evidence from 30 Provinces of China},
  journal = {Science Innovation},
  volume = {6},
  number = {2},
  pages = {80-86},
  doi = {10.11648/j.si.20180602.15},
  url = {https://doi.org/10.11648/j.si.20180602.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.si.20180602.15},
  abstract = {The improved two-stage DEA model removed constrains that efficiency values of decision making units are not greater than one by means of the handling method in super-BCC model. In this way, those efficient DMUs were separated from the efficient frontier and therefore the problem that they were unable to sort in the traditional two-stage DEA model. In the meantime, this improved model gave full consideration to the dual role of intermediate outputs and the influence of scale effect， which gave the evaluation results larger reference value. Lastly, the case study of 30 provinces demonstrated the feasibility and rationality of the improved model. It is found that the level of research and innovation efficiency in east China is the highest; the comprehensive efficiency and stage efficiency of mid-south and north China are high; the comprehensive efficiency level in southwest and northwest China is high while the efficiency of scientific research and development is low; the efficiency of research and innovation in northeast China is lowest.},
 year = {2018}
}

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TY  - JOUR
T1  - The Study of Regional R&D Innovation Efficiency Based on Improved Two-Stage DEA Model: Evidence from 30 Provinces of China
AU  - Yuyu Li
AU  - Bo Huang
AU  - Bo Fu
Y1  - 2018/06/22
PY  - 2018
N1  - https://doi.org/10.11648/j.si.20180602.15
DO  - 10.11648/j.si.20180602.15
T2  - Science Innovation
JF  - Science Innovation
JO  - Science Innovation
SP  - 80
EP  - 86
PB  - Science Publishing Group
SN  - 2328-787X
UR  - https://doi.org/10.11648/j.si.20180602.15
AB  - The improved two-stage DEA model removed constrains that efficiency values of decision making units are not greater than one by means of the handling method in super-BCC model. In this way, those efficient DMUs were separated from the efficient frontier and therefore the problem that they were unable to sort in the traditional two-stage DEA model. In the meantime, this improved model gave full consideration to the dual role of intermediate outputs and the influence of scale effect， which gave the evaluation results larger reference value. Lastly, the case study of 30 provinces demonstrated the feasibility and rationality of the improved model. It is found that the level of research and innovation efficiency in east China is the highest; the comprehensive efficiency and stage efficiency of mid-south and north China are high; the comprehensive efficiency level in southwest and northwest China is high while the efficiency of scientific research and development is low; the efficiency of research and innovation in northeast China is lowest.
VL  - 6
IS  - 2
ER  -

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Author Information

Yuyu Li

College of Computer and Information Science, Chongqing Normal University, Chongqing, China
Bo Huang

School of Economics and Business Administration, Chongqing University, Chongqing, China
Bo Fu

Shanghai Pudong Development Bank Co Ltd Qingdao Branch, Qingdao, China

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Plain Text BibTeX RIS

APA Style

Yuyu Li, Bo Huang, Bo Fu. (2018). The Study of Regional R&D Innovation Efficiency Based on Improved Two-Stage DEA Model: Evidence from 30 Provinces of China. Science Innovation, 6(2), 80-86. https://doi.org/10.11648/j.si.20180602.15

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ACS Style

Yuyu Li; Bo Huang; Bo Fu. The Study of Regional R&D Innovation Efficiency Based on Improved Two-Stage DEA Model: Evidence from 30 Provinces of China. Sci. Innov. 2018, 6(2), 80-86. doi: 10.11648/j.si.20180602.15

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AMA Style

Yuyu Li, Bo Huang, Bo Fu. The Study of Regional R&D Innovation Efficiency Based on Improved Two-Stage DEA Model: Evidence from 30 Provinces of China. Sci Innov. 2018;6(2):80-86. doi: 10.11648/j.si.20180602.15

Copy | Download

@article{10.11648/j.si.20180602.15,
  author = {Yuyu Li and Bo Huang and Bo Fu},
  title = {The Study of Regional R&D Innovation Efficiency Based on Improved Two-Stage DEA Model: Evidence from 30 Provinces of China},
  journal = {Science Innovation},
  volume = {6},
  number = {2},
  pages = {80-86},
  doi = {10.11648/j.si.20180602.15},
  url = {https://doi.org/10.11648/j.si.20180602.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.si.20180602.15},
  abstract = {The improved two-stage DEA model removed constrains that efficiency values of decision making units are not greater than one by means of the handling method in super-BCC model. In this way, those efficient DMUs were separated from the efficient frontier and therefore the problem that they were unable to sort in the traditional two-stage DEA model. In the meantime, this improved model gave full consideration to the dual role of intermediate outputs and the influence of scale effect， which gave the evaluation results larger reference value. Lastly, the case study of 30 provinces demonstrated the feasibility and rationality of the improved model. It is found that the level of research and innovation efficiency in east China is the highest; the comprehensive efficiency and stage efficiency of mid-south and north China are high; the comprehensive efficiency level in southwest and northwest China is high while the efficiency of scientific research and development is low; the efficiency of research and innovation in northeast China is lowest.},
 year = {2018}
}

Copy | Download

TY  - JOUR
T1  - The Study of Regional R&D Innovation Efficiency Based on Improved Two-Stage DEA Model: Evidence from 30 Provinces of China
AU  - Yuyu Li
AU  - Bo Huang
AU  - Bo Fu
Y1  - 2018/06/22
PY  - 2018
N1  - https://doi.org/10.11648/j.si.20180602.15
DO  - 10.11648/j.si.20180602.15
T2  - Science Innovation
JF  - Science Innovation
JO  - Science Innovation
SP  - 80
EP  - 86
PB  - Science Publishing Group
SN  - 2328-787X
UR  - https://doi.org/10.11648/j.si.20180602.15
AB  - The improved two-stage DEA model removed constrains that efficiency values of decision making units are not greater than one by means of the handling method in super-BCC model. In this way, those efficient DMUs were separated from the efficient frontier and therefore the problem that they were unable to sort in the traditional two-stage DEA model. In the meantime, this improved model gave full consideration to the dual role of intermediate outputs and the influence of scale effect， which gave the evaluation results larger reference value. Lastly, the case study of 30 provinces demonstrated the feasibility and rationality of the improved model. It is found that the level of research and innovation efficiency in east China is the highest; the comprehensive efficiency and stage efficiency of mid-south and north China are high; the comprehensive efficiency level in southwest and northwest China is high while the efficiency of scientific research and development is low; the efficiency of research and innovation in northeast China is lowest.
VL  - 6
IS  - 2
ER  -

Copy | Download