Analysis of Interval Data Envelopment Efficiency Model Considering Different Distribution Characteristics—Based on Environmental Performance Evaluation of the Manufacturing Industry

Zaiwu Gong and Xiaoqing Chen
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Zaiwu Gong: Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, School of Economics and Management, China Institute for Manufacture Developing, Nanjing University of Information Science and Technology, Nanjing 210044, China
Xiaoqing Chen: Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, School of Economics and Management, China Institute for Manufacture Developing, Nanjing University of Information Science and Technology, Nanjing 210044, China

Sustainability, 2017, vol. 9, issue 12, 1-25

Abstract: This study utilizes the Data Envelopment Efficiency (DEA) model to assess input–output efficiency from two perspectives. First, not considering the distribution of interval data, we introduce an adjusted parameter to transform interval data to determination data. Second, by contrast, we take into account the distribution characteristics of interval data and test the DEA model with interval data based on linear uniform distribution and normal distribution with uncertainty. Based on the normal distribution DEA evaluation model, this paper aims to evaluate the input–output performance of the manufacturing industry with the constraint of environmental pollution in the Yangtze River Delta (YRD) region, China. Research has shown that the optimal solution of the normal distribution model is better than that of linear distribution. Therefore, it is imperative to adopt an appropriate method to evaluate the energy and environmental efficiency of this region.

Keywords: energy efficiency; interval DEA model; linear uniform distribution (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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