Cost constrained industry inefficiency

被引:9
|
作者
Peyrache, Antonio [1 ]
机构
[1] Univ Queensland, Sch Econ, CEPA, Brisbane, Qld 4072, Australia
关键词
Data envelopment analysis (DEA); Industry inefficiency; Indirect directional distance function; Productivity; optimal configuration; CENTRALIZED RESOURCE-ALLOCATION; DIRECTIONAL DISTANCE FUNCTIONS; DATA ENVELOPMENT ANALYSIS; DEA MODEL; EFFICIENCY; AGGREGATION; PROFIT;
D O I
10.1016/j.ejor.2015.06.067
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
In this paper a definition of industry inefficiency in cost constrained production environments is introduced. This definition uses the indirect directional distance function and quantifies the inefficiency of the industry in terms of the overall output loss, given the industry cost budget. The industry inefficiency indicator is then decomposed into sources components: reallocation inefficiency arising from sub-optimal configuration of the industry; firm inefficiency arising from a failure to select optimal input quantities (given the prevalent inputs prices); firm inefficiency due to lack of best practices. The method is illustrated using data on Ontario electricity distributors. These data show that lack of best practices is only a minor component of the overall inefficiency of the industry (less than 10 percent), with reallocation inefficiency accounting for more than 75 percent of the overall inefficiency of the system. An analysis based on counter-factual input prices is conducted in order to illustrate how the model can be used to estimate the effects of a change in the regulation regime. (C) 2015 Elsevier B.V. and Association of European Operational Research Societies (EURO) within the International Federation of Operational Research Societies (IFORS). All rights reserved.
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页码:996 / 1002
页数:7
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