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Assessing the efficiency of environmental regulations of large-scale enterprises based on extended fuzzy data envelopment analysis

Shuhong Wang (School of Economics, Ocean University of China, Qingdao, China) (Institute of Marine Development, Ocean University of China, Qingdao, China)
Hui Yu (School of Economics, Ocean University of China, Qingdao, China)
Malin Song (Anhui University of Finance and Economics, Bengbu, China)

Industrial Management & Data Systems

ISSN: 0263-5577

Article publication date: 12 March 2018

347

Abstract

Purpose

As the functions of environmental regulations cannot be quantified while assessing their environmental efficiency, there has been no comprehensive evaluation of environmental efficiency. The purpose of this paper is to evaluate environmental regulations based on triangular and trapezoidal fuzzy numbers.

Design/methodology/approach

This paper uses L-R fuzzy numbers to transform the evaluation language into triangular fuzzy numbers, and adopts an α-level flexible slacks-based measurement model to evaluate the performance of these regulations. Trapezoidal fuzzy numbers are combined with a data envelopment analysis model, and an α-slack-based measurement (SBM) model is used to evaluate the environmental efficiency. The α-SBM model is confirmed to be stable and sustainable.

Findings

Relevant index data from 16,375 enterprises were collected to test the proposed model, and models corresponding to triangular fuzzy numbers and trapezoidal fuzzy numbers were used to evaluate their environmental efficiency. Comparative results showed that the proposed model is feasible and stable.

Originality/value

The main contributions of this study are twofold. First, this paper provides a valuable evaluation method for environmental regulation. Second, our research improves the practical performance of trapezoidal fuzzy data envelopment analysis and enhances its feasibility and stability.

Keywords

Acknowledgements

The authors would like to acknowledge support from the Program for the National Natural Science Foundation of China (Nos. 71171001; 71471001 and 71601170), Projects in Philosophy and Social Science Research of the Ministry of Education of China under (Nos. 14JZD031 & 16YJC630123), China Postdoctoral Science Foundation (No. 2015M570613), Special Project of Postdoctoral Innovation Projects of Shandong under Grant No. 201503013, and the Natural Science Foundation of Shandong, China (No. ZR2015PG003). In addition, the authors would like to thank Editage (http://online.editage.cn/) for English language editing.

Citation

Wang, S., Yu, H. and Song, M. (2018), "Assessing the efficiency of environmental regulations of large-scale enterprises based on extended fuzzy data envelopment analysis", Industrial Management & Data Systems, Vol. 118 No. 2, pp. 463-479. https://doi.org/10.1108/IMDS-08-2016-0327

Publisher

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Emerald Publishing Limited

Copyright © 2018, Emerald Publishing Limited

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