Journal
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
Volume 254, Issue 3, Pages 1047-1062Publisher
ELSEVIER
DOI: 10.1016/j.ejor.2016.04.034
Keywords
Data envelopment analysis (DEA); Environmental efficiency; Desired and undesired outputs; Two-stage system; Short- and long-term interest
Funding
- National Natural Science Funds of China [71222106, 71571173]
- Research Fund for the Doctoral Program of Higher Education of China [20133402110028]
- Foundation for the Author of National Excellent Doctoral Dissertation of P. R. China [201279]
- Top-Notch Young Talents Program of China
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In this study, we propose a new DEA model to evaluate the environmental efficiency of a two-stage system with undesired outputs. The two-stage system consists of two parts: a production subsystem and a pollution treatment subsystem. Different choices for allocating resources to each subsystem represent different interest preferences of decision makers, with the production subsystem corresponding to shortterm interests and the pollution treatment subsystem corresponding to long-term interests. Based on a proposed new DEA model, three theorems are established to show the relationships between the interest preference parameter and the change of efficiency scores. An empirical analysis was conducted using the data of 30 provinces and municipalities (eight regions) of China. The empirical results show the effectiveness of the proposed model and the usefulness of the theorems for the real-world data. Optimal efficiency rankings of the eight regions are provided and the efficiency rankings truly reflect the current environmental situations of these eight regions. To examine the economic impacts and facilitate sustainable development, we also analyze the shadow prices for undesired outputs. Corresponding implications of the empirical analysis are also discussed. (C) 2016 Elsevier B.V. All rights reserved.
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