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 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), 2018. Published by Science Publishing Group

Keywords

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

References

[1]	Yao Chen, Liang Liang, Feng Yang et al. Evaluation of information technology investment: a data envelopment analysis approach[J]. Computers Operations Research, 2006, 33(3):1368-1379.
[2]	Kao C, Hwang S N. Efficiency measurement for network systems: IT impact on firm performance [J]. Decision Support Systems, 2010, 48(3):437-446.
[3]	陈凯华,官建成.共享投入型关联两阶段生产系统的网络DEA效率测度与分解[J].系统工程理论与实践,2011,31(7):1211-1221。
[4]	冯锋,张雷勇,高牟等.两阶段链视角下科技投入产出链效率研究——来自我国29个省市数据的实证[J].科学学与科学技术管理,2011,32(8):33-38。
[5]	马建峰,何枫.包含共享投入与自由中间产出的技术创新两阶段DEA效率评价[J].系统工程,2014,32(1):1-9。
[6]	刘瑞翔,吕大雪,骆依.不良贷款约束下我国商业银行效率的测评--基于两阶段DEA模型的分析[J].南京审计大学学报, 2016,13(6):41-50。
[7]	黄薇.中国保险机构资金运用效率研究:基于资源型两阶段DEA模型[J].经济研究,2009,(8):37-49。
[8]	王美强,李勇军.具有双重角色和非期望要素的供应商评价两阶段DEA模型[J].中国管理科学,2016,24(12):91-97。
[9]	代明,刘可新,陈俊.中国高技术产业研发创新效率研究[J].中国科技论坛,2016,(1):5-10。
[10]	Yang G L, Fukuyama H, Song Y Y. Measuring the inefficiency of Chinese research universities based on a two-stage network DEA mode l[J]. Journal of Informetrics, 2018, 12(1):10-30.
[11]	Izadikhah M, Tavana M, Caprio D D, et al. A Novel Two-Stage DEA Production Model with Freely Distributed Initial Inputs and Shared Intermediate Outputs [J]. Expert Systems with Applications, 2018, In Press:213-230.
[12]	Andersen P., Petersen N. C. A Procedure for Ranking Efficient Units in Data Envelopment Analysis [J]. Management Science，1993, (39):1261-1264.
[13]	吉生保,席艳玲,赵祥.中国农业上市公司绩效评价——基于SORM-BCC超效率模型和Malmquist的DEA-Tobit分析[J].农业技术经济,2012(3):114-127。
[14]	R. D. Banker, A. Charnes, W. W. Cooper. Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis [J]. Management Science, 1984, 30(9):1078-1092.
[15]	王金祥.基于超效率DEA模型的交叉效率评价方法[J].系统工程,2009,27(6):115-118。
[16]	李婧.基于动态空间面板模型的中国区域创新集聚研究[J].中国经济问题,2013,(6):56-66。
[17]	吴延兵.中国地区知识生产效率测算[J].财经研究,2008,(10):4-14。
[18]	石岿然,赵顺龙.R&D资本存量与我国高技术产业若干指标的相关性分析[J].科学学与科学技术管理,2010,(1):107-111。

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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