Modelling weak disposability in data envelopment analysis under relaxed convexity assumptions

被引:97
作者
Podinovski, Victor V. [1 ]
Kuosmanen, Timo [2 ,3 ]
机构
[1] Univ Warwick, Warwick Business Sch, Coventry CV4 7AL, W Midlands, England
[2] Aalto Univ, Sch Econ, Helsinki 00101, Finland
[3] MTTAgrifood Res Finland, Helsinki 00410, Finland
关键词
Data envelopment analysis; Nonparametric productivity analysis; Environmental performance; Undesirable outputs; Non-convex technologies; NONPARAMETRIC PRODUCTION ANALYSIS; UNDESIRABLE OUTPUTS; NONCONVEX TECHNOLOGIES; DISTANCE FUNCTIONS; COLUMN GENERATION; POWER PRODUCTION; COMBINED HEAT; DEA; EFFICIENCY; SCALE;
D O I
10.1016/j.ejor.2010.12.003
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
The treatment of undesirable (bad) outputs in models of efficiency and productivity analysis often requires replacing the assumption of free disposability of outputs by their weak disposability. In a recent publication the authors showed that the Kuosmanen technology is the only correct representation of the fully convex technology exhibiting weak disposability of bad and good outputs. In this paper we relax the assumption of full convexity and consider two further possibilities: the case in which only the output sets are assumed convex and the case in which no convexity is assumed at all. In the first case we show that, although the traditional Shephard technology of nonparametric production analysis satisfies the assumption of convex output sets, it is larger than necessary. Based on the minimum extrapolation principle, we develop a correct model that is based on the assumed axioms. The second case leads to the development of a weakly disposable analogue of the free disposable hull. To complete our study, we give a full axiomatic definition of the Shephard technology. (C) 2010 Elsevier B.V. All rights reserved.
引用
收藏
页码:577 / 585
页数:9
相关论文
共 37 条
[1]  
Agrell P. J., 2005, Adv Mode Optim, V7, P211
[2]   SOME MODELS FOR ESTIMATING TECHNICAL AND SCALE INEFFICIENCIES IN DATA ENVELOPMENT ANALYSIS [J].
BANKER, RD ;
CHARNES, A ;
COOPER, WW .
MANAGEMENT SCIENCE, 1984, 30 (09) :1078-1092
[3]   DEA on relaxed convexity assumptions [J].
Bogetoft, P .
MANAGEMENT SCIENCE, 1996, 42 (03) :457-465
[4]   Convex input and output projections of nonconvex production possibility sets [J].
Bogetoft, P ;
Tama, JM ;
Tind, J .
MANAGEMENT SCIENCE, 2000, 46 (06) :858-869
[5]   Non-convex technologies and cost functions: Definitions, duality and nonparametric tests of convexity [J].
Briec, W ;
Kerstens, K ;
Eeckaut, PV .
JOURNAL OF ECONOMICS-ZEITSCHRIFT FUR NATIONALOKONOMIE, 2004, 81 (02) :155-192
[6]   Benefit and distance functions [J].
Chambers, RG ;
Chung, YH ;
Fare, R .
JOURNAL OF ECONOMIC THEORY, 1996, 70 (02) :407-419
[7]   Profit, directional distance functions, and Nerlovian efficiency [J].
Chambers, RG ;
Chung, Y ;
Fare, R .
JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS, 1998, 98 (02) :351-364
[8]   MEASURING EFFICIENCY OF DECISION-MAKING UNITS [J].
CHARNES, A ;
COOPER, WW ;
RHODES, E .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 1978, 2 (06) :429-444
[9]   Productivity and undesirable outputs: A directional distance function approach [J].
Chung, YH ;
Fare, R ;
Grosskopf, S .
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 1997, 51 (03) :229-240
[10]  
Cooper W.W., 2000, Data envelopment analysis: A comprehensive text with models, applications, references and DEA-Solver software