Environmental efficiency with multiple environmentally detrimental variables; estimated with SFA and DEA

被引:522
作者
Reinhard, S
Lovell, CAK
Thijssen, GJ
机构
[1] DLO, Agr Econ Res Inst, LEI, NL-2502 LS The Hague, Netherlands
[2] Univ Georgia, Athens, GA 30602 USA
[3] Wageningen Univ Agr, Wageningen, Netherlands
关键词
environment; agriculture; efficiency; Stochastic Frontier Analysis; Data Envelopment Analysis;
D O I
10.1016/S0377-2217(99)00218-0
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
The objective of this paper is to estimate comprehensive environmental efficiency measures for Dutch dairy farms, The environmental efficiency scores are based on the nitrogen surplus, phosphate surplus and the total (direct and indirect) energy use of an unbalanced panel of dairy farms. We define environmental efficiency as the ratio of minimum feasible to observed use of multiple environmentally detrimental inputs, conditional on observed levels of output and the conventional inputs. We compare two methods for the calculation of efficiency; namely Stochastic Frontier Analysis (SFA) and Data Envelopment Analysis (DEA). This paper reveals the strengths and weaknesses for estimating environmental efficiency of the methods applied. Both SFA and DEA can estimate environmental efficiency scores. The mean technical efficiency scores (output-oriented, SFA 89%, DEA 78%) and the mean comprehensive environmental efficiency scores (SFA 80%, DEA 52%) differ between the two methods. SFA allows hypothesis testing, and the monotonicity hypothesis is rejected for the specification including phosphate surplus. DEA can calculate environmental efficiency scores for all specifications, because regularity is imposed in this method. (C) 2000 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:287 / 303
页数:17
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