DEA控制投影模型及其应用

Abstract

Abstract: Considering the restricted ranges of the input/output factors,we propose a multi-objective DEA projection model and also present the projection of CRS-inefficient DMUs.Then,survey data from 182 innovative enterprises’are used to analyze the relationship of competitiveness and technological innovation capability based on the model.We find that the efficiency distributions got from the model are evidently same with CRS model.Also,the projection results according to different industries,which are based on various competitiveness dimensions,provide the scientific benchmark for auditing competitiveness.

Key words: DEA, controlling projection, competitiveness, technological innovation capability, innovative enterprises

CLC Number:

C931

GUAN Jian-cheng, MA Ning. A Multi-objective DEA Projection Model and its Applications[J]. Chinese Journal of Management Science, 2003, (1): 66-70.

[1]	XU Cheng-lei, ZHU Zi-jie, DUAN Wan-chun. Non-Radial Exceeding Expected Management Efficiency Evaluation Considering Multi-dimensional Cooperation Strategies [J]. Chinese Journal of Management Science, 2021, 29(1): 237-248.
[2]	LIU Hai-ying, WANG Yu. Research on Initial Allocation of Energy-consuming Right and CO₂-emission Right Based on Historical Method and ZSG-DEA Method [J]. Chinese Journal of Management Science, 2020, 28(9): 209-220.
[3]	GONG Ri-zhao, LIU Yu-xi, PAN Fen-ping. DEA Super Efficiency Evaluation Model with Weight Constraints and Its Application [J]. Chinese Journal of Management Science, 2020, 28(4): 164-173.
[4]	WANG Nan, CHEN Xiang-xiang, QI Yun-li, WANG Li-ya. The Research on Influence Factors of User Innovation Community Idea Adoption Based on Elaboration Likelihood Model [J]. Chinese Journal of Management Science, 2020, 28(3): 213-222.
[5]	LIU Jin-pei, YANG Hong-wei, CHEN Hua-you, ZHOU Li-gang. Group Decision Making with Interval Multiplicative Linguistic Preference Relations based on Cross-efficiency DEA and Group Consensus [J]. Chinese Journal of Management Science, 2020, 28(2): 190-198.
[6]	CHEN Xing-xing. Difference of Energy Efficiency in China Based on Non-Expected Output [J]. Chinese Journal of Management Science, 2019, 27(8): 191-198.
[7]	WANG Qia. On-Demand Extra Resource Allocation [J]. Chinese Journal of Management Science, 2019, 27(6): 206-216.
[8]	WANG Ying, WANG Ying-ming. Study on Resource Allocation DEA Model Based on the Future Efficiency with Consideration of Efficiency & Equity: An Application in Distribution of Carbon Emission Rights in each Chinese Province [J]. Chinese Journal of Management Science, 2019, 27(5): 161-173.
[9]	XIONG Xi, GUAN Zhong-cheng, YANG Guo-liang, ZHENG Hai-jun. Measuring S&T Efficiency and its Decomposition using a Two-stage DEA Model with Nested Parallel Structure [J]. Chinese Journal of Management Science, 2019, 27(3): 206-216.
[10]	ZHANG Ran, RAN Lun, DU Tao, LI Jin-lin. A Fixed Cost Allocation Based on Two-stage DEA and Satisfaction Degree [J]. Chinese Journal of Management Science, 2019, 27(2): 138-149.
[11]	ZHOU Tian-yi, CHANG Wei, CHEN Qing-zhu. Platform Competition, Exclusive Dealing Contracts and Competitive Bottlenecks [J]. Chinese Journal of Management Science, 2019, 27(10): 209-216.
[12]	YI Rong-hua, SHAO Jie-hao. International Comparison of Chinese Securities Market Competitiveness Based on DEA [J]. Chinese Journal of Management Science, 2019, 27(1): 11-21.
[13]	YI Ru, MA Zhan-xin. A Generalized Sample Interval DEA Model with Only Output [J]. Chinese Journal of Management Science, 2019, 27(1): 194-204.
[14]	YANG Ying-zhe, HUANG Guang-qiu. Product Portfolio Strategy Selection Model-Based on Transformation Objectives [J]. Chinese Journal of Management Science, 2018, 26(7): 179-186.
[15]	LIU Wen-li, WANG Ying-ming, LV Shu-long. Ranking Decision Making Units Based on Cross-efficiency and Cooperative Game [J]. Chinese Journal of Management Science, 2018, 26(4): 163-170.

A Multi-objective DEA Projection Model and its Applications

PDF (PC)

Knowledge

Cited

Abstract

Cite this article

share this article

References

Related Articles 15

Metrics

Comments

Recommended 10