TY - JOUR
T1 - Dynamic data envelopment analysis
T2 - A relational analysis
AU - Kao, Chiang
N1 - Funding Information:
This research is supported by the National Science Council of the Republic of China (Taiwan) under contract NSC98-2410-H-006-006-MY3. The author is also grateful for the comments of three anonymous reviewers.
PY - 2013/6/1
Y1 - 2013/6/1
N2 - This paper proposes a dynamic data envelopment analysis (DEA) model to measure the system and period efficiencies at the same time for multi-period systems, where quasi-fixed inputs or intermediate products are the source of inter-temporal dependence between consecutive periods. A mathematical relationship is derived in which the complement of the system efficiency is a linear combination of those of the period efficiencies. The proposed model is also more discriminative than the existing ones in identifying the systems with better performance. Taiwanese forests, where the forest stock plays the role of quasi-fixed input, are used to illustrate this approach. The results show that the method for calculating the system efficiency in the literature produces over-estimated scores when the dynamic nature is ignored. This makes it necessary to conduct a dynamic analysis whenever data is available.
AB - This paper proposes a dynamic data envelopment analysis (DEA) model to measure the system and period efficiencies at the same time for multi-period systems, where quasi-fixed inputs or intermediate products are the source of inter-temporal dependence between consecutive periods. A mathematical relationship is derived in which the complement of the system efficiency is a linear combination of those of the period efficiencies. The proposed model is also more discriminative than the existing ones in identifying the systems with better performance. Taiwanese forests, where the forest stock plays the role of quasi-fixed input, are used to illustrate this approach. The results show that the method for calculating the system efficiency in the literature produces over-estimated scores when the dynamic nature is ignored. This makes it necessary to conduct a dynamic analysis whenever data is available.
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U2 - 10.1016/j.ejor.2012.12.012
DO - 10.1016/j.ejor.2012.12.012
M3 - Article
AN - SCOPUS:84873730194
SN - 0377-2217
VL - 227
SP - 325
EP - 330
JO - European Journal of Operational Research
JF - European Journal of Operational Research
IS - 2
ER -