Semi-disposability of undesirable outputs in data envelopment analysis for environmental assessments

被引:52
作者
Chen, Lei [1 ,2 ]
Wang, Ying-Ming [1 ]
Lai, Fujun [2 ,3 ]
机构
[1] Fuzhou Univ, Decis Sci Inst, Sch Econ & Management, 2 Xueyuan Rd, Fuzhou 350116, Peoples R China
[2] Univ Southern Mississippi, Coll Business, Hattiesburg, MS 39560 USA
[3] Soochow Univ, Soochow Think Tank & Dongwu Business Sch, Res Ctr Smarter Supply Chain, Suzhou 215012, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
Data envelopment analysis; Efficiency; Reference point comparison; Return to scale; Semi-disposability; NONPARAMETRIC PRODUCTIVITY ANALYSIS; DEA RADIAL MEASUREMENT; EFFICIENCY ANALYSIS; ENERGY; TECHNOLOGY; SYSTEM; CHINA; MODEL; WEAK;
D O I
10.1016/j.ejor.2016.12.042
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
The assumptions of strong and weak disposability for undesirable outputs have long dominated studies of data envelopment analysis for environmental assessments. Unfortunately, these assumptions cannot describe the diverse technical features of different undesirable outputs during the actual production process. Thus, we introduce a non-disposal degree to develop a new semi-disposability assumption, which can replace the assumptions of strong and weak disposability in environmental assessments. This assumption ensures that decision makers can address undesirable outputs freely within the scope of current production technology; otherwise, they have to reduce desirable outputs in the same proportion to decrease undesirable outputs. A reference point comparison method is proposed for determining the non-disposal degree from an objective perspective. The assumption of semi-disposability is extended to uncertain circumstances by using the interval non-disposal degree. Finally, two empirical examples are provided to illustrate the effectiveness of the semi-disposability assumption. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码:655 / 664
页数:10
相关论文
共 37 条
[1]   Accounting for externalities and disposability: A directional economic environmental distance function [J].
Adler, Nicole ;
Volta, Nicola .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2016, 250 (01) :314-327
[2]   A new slacks-based measure of Malmquist-Luenberger index in the presence of undesirable outputs [J].
Arabi, Behrouz ;
Munisamy, Susila ;
Emrouznejad, Ali .
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, 2015, 51 :29-37
[3]   Is the Lithuanian economy approaching the goals of sustainable energy and climate change mitigation? Evidence from DEA-based environmental performance index [J].
Balezentis, Tomas ;
Li, Tianxiang ;
Streimikiene, Dalia ;
Balezentis, Alvydas .
JOURNAL OF CLEANER PRODUCTION, 2016, 116 :23-31
[4]   Efficiency evaluation of Chinese regional industrial systems with undesirable factors using a two-stage slacks-based measure approach [J].
Bian, Yiwen ;
Liang, Nannan ;
Xu, Hao .
JOURNAL OF CLEANER PRODUCTION, 2015, 87 :348-356
[5]   Environmental growth convergence among Chinese regions [J].
Boussemart, Jean Philippe ;
Leleu, Herve ;
Shen, Zhiyang .
CHINA ECONOMIC REVIEW, 2015, 34 :1-18
[6]   Environmental efficiency analysis of transportation system in China: A non-radial DEA approach [J].
Chang, Young-Tae ;
Zhang, Ning ;
Danao, Denise ;
Zhang, Nan .
ENERGY POLICY, 2013, 58 :277-283
[7]  
Chen L., 2016, J CLEANER PRODUCTION
[8]   The enhanced Russell-based directional distance measure with undesirable outputs: Numerical example considering CO2 emissions [J].
Chen, Po-Chi ;
Yu, Ming-Miin ;
Chang, Ching-Cheng ;
Hsu, Shih-Hsun ;
Managi, Shunsuke .
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, 2015, 53 :30-40
[9]   Measuring ecological efficiency with data envelopment analysis (DEA) [J].
Dyckhoff, H ;
Allen, K .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2001, 132 (02) :312-325
[10]   Nonparametric productivity analysis with undesirable outputs:: Comment [J].
Färe, R ;
Grosskopf, S .
AMERICAN JOURNAL OF AGRICULTURAL ECONOMICS, 2003, 85 (04) :1070-1074