Education, Science, Technology, Innovation and Life
Open Access
Sign In

Research on Development Efficiency of Circular Economy of Silk Road Economic Belt: Based on Super Efficiency DEA Model

Download as PDF

DOI: 10.23977/infse.2023.040103 | Downloads: 12 | Views: 487

Author(s)

Haizhen Yang 1

Affiliation(s)

1 School of Business, Zhengzhou College of Finance and Economics, Zhengzhou, 450044, China

Corresponding Author

Haizhen Yang

ABSTRACT

With the rapid development of economy and the increasing problems of resource consumption and environmental pollution, circular economy has been recognized as a new way to promote the development of economy, society, ecology and harmony. DEA is a nonparametric efficiency evaluation method. The super efficiency DEA model was used to measure the circular economy development efficiency of nine provinces and cities along the western Silk Road Economic Belt during 2016-2020. Results prove that there is a big difference in circular economy efficiency among regions along the belt. The DEA average efficiency of Shaanxi, Chongqing, Xinjiang, Yunnan and Guangxi are all effective, while the DEA of Ningxia, Gansu, Qinghai and Sichuan is non-effective. The DEA of Ningxia and Sichuan is limited by the development scale. The results also show that Xinjiang, Gansu and Qinghai have input redundancy and output insufficiency to a certain extent. Based on the empirical results, suggestions on how to improve the efficiency of circular economy along the Silk Road Economic Belt are put forward.

KEYWORDS

The Silk Road Economic Belt, circular economy, development efficiency, super efficiency DEA model

CITE THIS PAPER

Haizhen Yang, Research on Development Efficiency of Circular Economy of Silk Road Economic Belt: Based on Super Efficiency DEA Model. Information Systems and Economics (2023) Vol. 4: 16-23. DOI: http://dx.doi.org/10.23977/infse.2023.040103.

REFERENCES

[1] CAI S H. Research on developing circular economy and its problems in western ecologically fragile areas. Development Research. 2015, (5):17-20.
[2] Xie H, Wu C L, Huo W D. Opening up and economic growth of domestic provinces in "Silk Road Economic Belt". Economic Problems. 2015, (8):6-12.
[3] Huang Y, Wang M Q, Man X H, et al. Regional Industrial eco-efficiency in China from the perspective of circular economy. Systems Engineering. 2021, 39 (2):1-12.
[4] Wan C C, Zhou K, Wang C, et al. Evaluation of Development Efficiency of Chinese agricultural recycling Economy: Based on Super Efficiency DEA Model. Mathematical Practice and understanding. 2018, 48 (19):34-45.
[5] Wang J L, Dai S F. Evaluation of Circular Economy Efficiency of Chinese Iron and Steel Industry Based on DEA-Malquist Index. Journal of Hebei University of Economics and Business. 2014, 35(2):78-82.
[6] Jia G Z, Liu S G, Meng K Y. Research on Efficiency Evaluation of circular Economy in Construction Industry Based on Improved DEA Model. Management Review. 2014, 26(4):14-21.
[7] Charnes A, Cooper W W, Rhodes E. Measuring the efficiency of decision making units. European Journal of Operational Research. 1978, 2(6): 429-444.
[8] Cheng G. Data Envelopment Analysis Method and Max DEA Software. Beijing: Intellectual Property Press, 2014.
[9] Copper W W, Seiford L M, Zhu J. Handbook of Data Envelopment Analysis. Boston: Kluwer Academic Publishers, 2004.
[10] Andersen P, Petersen, N. C. A procedure for ranking efficient units in data envelopment analysis. Management Science. 1993, 39(10):1261-1264.

Downloads: 7438
Visits: 147326

All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.