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An Integrated DEA Model Allowing Decomposition of Eco-Efficiency:A Case Study of China

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A common feature of previous studies about the application of data envelopment analysis (DEA) to determine environmental and economic efficiencies is that the two were analyzed in separate models or frameworks.The purpose of this paper is to analyze the economic efficiency and environmental efficiency with a single model.This paper proposes an integrated DEA model,based on a modification of the directional distance function,which allows us to decompose the eco-efficiency (EE) into the economic efficiency (ECE) and environmental efficiency (ENE).The ECE characterizes the ability of gaining economic benefits while the ENE characterizes the ability to control pollutant emissions in production activities.Identification of ECE and ENE can help decision makers of different regions detect what kind of factor (economic inefficiency or environmental inefficiency) is the main source of eco-inefficiency.This can help decision makers more targeted to improve EE.To illustrate the feasibility of our approach,a case study of 30 regions in China is presented.The empirical results show that almost all regions have very high economic efficiencies.The environmental inefficiency is the main source of eco-inefficiency.The differences of environmental efficiencies lead to the differences of eco-efficiencies in the east,central and west areas,while the economic efficiencies do not have significant differences among these areas.The economic efficiencies showed an opposite "V" shape and the environmental efficiencies showed a decreasing trend during the period 2010-2014.

DEAeco-efficiencyefficiency decompositioneconomic efficiencyenvironmental efficiency

Wanbin PAN、Lei HUANG、Linlin ZHAO

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School of Management, University of Science and Technology of China, Hefei 230026, China

School of Management Science and Engineering, Nanjing Audit University, Nanjing 211815, China

Supported by the National Natural Science Foundation of ChinaHumanities and Social Sciences Foundation of the Ministry of Education of Chinaand the Project Founded by Priority Academic Program Development of Jiangsu Higher Education Institutions

7130115813YJCZH134

2017

10.21078/JSSI-2017-473-16

系统科学与信息学报(英文版)

系统科学与信息学报(英文版)

CSCD
ISSN：
年,卷(期)：2017.5(5)
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