Evaluating the environmental efficiency of a two-stage system with undesired outputs by a DEA approach: An interest preference perspectiveAuthor-Name: Wu, Jie
Pengzhen Yin,
Jiasen Sun,
Junfei Chu and
Liang Liang
European Journal of Operational Research, 2016, vol. 254, issue 3, 1047-1062
Abstract:
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 short-term 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.
Keywords: Data envelopment analysis (DEA); Environmental efficiency; Desired and undesired outputs; Two-stage system; Short- and long-term interest (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (37)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0377221716302533
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:254:y:2016:i:3:p:1047-1062
DOI: 10.1016/j.ejor.2016.04.034
Access Statistics for this article
European Journal of Operational Research is currently edited by Roman Slowinski, Jesus Artalejo, Jean-Charles. Billaut, Robert Dyson and Lorenzo Peccati
More articles in European Journal of Operational Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().