Airline environmental efficiency measures considering negative data: An application of a modified network Modified Slacks-based measure model

Energy ◽  
2020 ◽  
Vol 207 ◽  
pp. 118221
Author(s):  
Qiang Cui ◽  
Zi-yin Jin
2007 ◽  
Vol 39 (9) ◽  
pp. 2232-2247 ◽  
Author(s):  
Andrés J Picazo-Tadeo ◽  
Andrés García-Reche

Environmental performance is a matter of major concern both for policy makers and for firm managers. In this paper we interpret firms' environmental performance as their ability to reduce polluting wastes while maintaining observed levels of inputs and desirable outputs. Making use of data envelopment analysis techniques, we compute waste-specific environmental efficiency measures for a sample of ceramic-tile producers located in the eastern Spanish region of Valencia. Our results show that there exists substantial room for improving environmental performance, which would have highly beneficial consequences for the local environment. In a second stage of analysis, we find that affiliation to the regional Technological Institute, ITC, which aims to promote technological innovation within the ceramic-tile industry, improves tile firms' environmental efficiency. In addition, firms located in the local industrial district of the Plana Baixa enjoy what we have broadly defined as ‘environmental spillovers’, which enhance their environmental performance. Also, ceramic-tile firms which outsource the management of wastes show better environmental performance.


2021 ◽  
Author(s):  
Ye Li ◽  
Xing-chun Huang ◽  
Qiang Cui

Abstract COVID-19 has dealt an unprecedented blow to the aviation industry since 2020. This paper applies the Interval Epsilon-Based Measure (IEBM) model to evaluate the optimal quarterly environmental efficiency of 14 global airlines of passenger and cargo subsystems during 2018-2020. Then, the Time Series Prediction method is applied to forecast the interval data of inputs and outputs from 2021 to 2022 and calculate the quarterly efficiency. Thus, the future development trends of airlines can be predicted. Furthermore, the results accord with reality can verify the credibility and accuracy of the model. Furthermore, the results show that: 1. COVID-19 has hit the passenger subsystem harder, while the freight subsystem has become more efficient; 2. The efficiency of the freight subsystem has inevitably declined in the post-epidemic era; 3. Therefore, the airlines will have a “√” shaped recovery curve in the next few years.


2015 ◽  
Vol 66 (7) ◽  
pp. 1206-1211 ◽  
Author(s):  
Mansour Mohammadpour ◽  
Farhad Hosseinzadeh-Lotfi ◽  
Gholam-Reza Jahanshahloo

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