A dynamic multi-stage data envelopment analysis model with application to energy consumption in the cotton industry

被引:23
|
作者
Khalili-Damghani, Kaveh [1 ]
Tavana, Madjid [2 ,3 ]
Santos-Arteaga, Francisco J. [4 ,5 ]
Mohtasham, Sima [1 ]
机构
[1] Islamic Azad Univ, South Tehran Branch, Dept Ind Engn, Tehran, Iran
[2] La Salle Univ, Distinguished Chair Business Analyt, Business Syst & Analyt Dept, Philadelphia, PA 19141 USA
[3] Univ Paderborn, Fac Business Adm & Econ, Business Informat Syst Dept, D-33098 Paderborn, Germany
[4] Univ Complutense Madrid, Dept Econ Aplicada 2, Pozuelo 28223, Spain
[5] Univ Complutense Madrid, Inst Complutense Estudios Int, Pozuelo 28223, Spain
关键词
Data envelopment analysis; Dynamic; Multi-stage; Farm efficiency; Energy planning; NETWORK-DEA; TECHNICAL EFFICIENCY; CHINA; PRODUCTIVITY; GROWTH; HAWAII;
D O I
10.1016/j.eneco.2015.06.020
中图分类号
F [经济];
学科分类号
02 ;
摘要
Data envelopment analysis (DEA) is a non-parametric method for evaluating the relative efficiency of homogenous decision making units (DMUs) with multiple inputs and outputs. In this paper, we present a dynamic multi-stage DEA (DMS-DEA) approach to evaluate the efficiency of cotton production energy consumption. In the proposed model, the farms which consume resources (i.e., fertilizers, seeds, and pesticides) to produce cotton are assumed to be the DMUs. Inputs not consumed during a planning period are carried over to the next period in the planning horizon. Initially, a DMS-DEA model is used to determine the overall efficiency of the DMUs with dynamic inputs. Next, the efficiency score of each DMU is calculated for each time period in the planning horizon. We demonstrate the applicability of the proposed method and exhibit the efficacy of the procedures and algorithms with a real-life case study of energy consumption in the cotton industry. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码:320 / 328
页数:9
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