Title: Environment and economic performance evaluation of 30 provinces and municipalities in China based on a two-stage multiplier DEA approach
Authors: Peng Wang; Jie Wu
Addresses: School of Management, University of Science and Technology of China, He Fei, An Hui Province, 230026, China ' School of Management, University of Science and Technology of China, He Fei, An Hui Province, 230026, China
Abstract: Data envelopment analysis (DEA) has been widely applied in the performance evaluation of environment or economy recently. If economic and environmental systems exist simultaneously in a decision making unit (DMU), conventional DEA models generally treat the DMU as a black box, and the internal relationship of DMU is often ignored. Thus, the performance of DMUs may be overestimated. In order to solve this problem, a new two-stage multiplier DEA approach is proposed in this paper. The new model can not only obtain the efficiency score of each system, but also consider the intermediate outputs when assessing the overall efficiency of the two systems. In order to test the effectiveness of this approach, a numerical example of 30 provinces in China is illustrated.
Keywords: data envelopment analysis; DEA; two-stage multiplier; economic performance; environmental performance; China; performance evaluation; decision making units; DMUs; efficiency score; intermediate outputs; Chinese provinces.
International Journal of Information and Decision Sciences, 2014 Vol.6 No.2, pp.182 - 192
Available online: 28 May 2014 *Full-text access for editors Access for subscribers Purchase this article Comment on this article