Next Article in Journal
Development and Validation of a Safety Attitude Scale for Coal Miners in China
Next Article in Special Issue
A Novel Grey Wave Method for Predicting Total Chinese Trade Volume
Previous Article in Journal
A Holistic Analysis Approach to Social, Technical, and Socio-Technical Aspect of E-Government Development
Previous Article in Special Issue
Going Public and Industrial Upgrading of Traditional Clusters in Developing Countries: Rethinking the Dynamics of the ‘Jinjiang Model’ in China
Open AccessArticle

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

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
*
Author to whom correspondence should be addressed.
Sustainability 2017, 9(12), 2080; https://doi.org/10.3390/su9122080
Received: 7 October 2017 / Revised: 31 October 2017 / Accepted: 6 November 2017 / Published: 27 November 2017
(This article belongs to the Special Issue Transition from China-Made to China-Innovation )
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. View Full-Text
Keywords: energy efficiency; interval DEA model; linear uniform distribution energy efficiency; interval DEA model; linear uniform distribution
Show Figures

Figure 1

MDPI and ACS Style

Gong, Z.; Chen, X. Analysis of Interval Data Envelopment Efficiency Model Considering Different Distribution Characteristics—Based on Environmental Performance Evaluation of the Manufacturing Industry. Sustainability 2017, 9, 2080.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop