Investigating the role of cooperation in the GHG abatement costs of airlines under CNG2020 strategy via a DEA cross PAC model
Creators
- 1. School of Business Administration, Nanjing University of Finance and Economics, Nanjing 210023 (China)
- 2. School of Economics and Management, Southeast University, Nanjing 211189 (China)
Description
Highlights: • The impacts of cooperation on airlines' pollution abatement costs are firstly studied. • A DEA Cross Pollution Abatement Costs model is proposed. • 28 international airlines are the samples. • Airline cooperation helps to reduce the pollution abatement costs of most airlines. Based on the empirical data of 28 international airlines, this paper studies the impact of airline cooperation on Greenhouse gases (GHG) abatement costs under CNG2020 strategy. We propose a Data Envelopment Analysis (DEA) Cross PAC model to discuss the differences in pollution abatement costs (PAC) between arbitrary scene and cooperation scene. The main findings are as follows: 1. Airline cooperation helps to reduce the GHG abatement costs of most airlines. 2. Star Alliance and SkyTeam Alliance can help airlines reduce GHG abatement costs, but the Oneworld cooperation is not effective. 3. The GHG abatement costs of Iberia, British Airways, TAP Portugal, Finnair, Emirates and Singapore Airlines are zero.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.energy.2018.07.184Additional details
Identifiers
- DOI
- 10.1016/j.energy.2018.07.184;
- PII
- S0360544218314816;
Publishing Information
- Journal Title
- Energy (Oxford)
- Journal Volume
- 161
- Journal Page Range
- p. 725-736
- ISSN
- 0360-5442
- CODEN
- ENEYDS
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 53000532
- Subject category
- S54: ENVIRONMENTAL SCIENCES;
- Descriptors DEI
- AIR TRANSPORT; AIRCRAFT; COST; GREENHOUSE GASES; MATHEMATICAL MODELS; POLLUTION ABATEMENT
- Descriptors DEC
- TRANSPORT
Optional Information
- Copyright
- Copyright (c) 2018 Elsevier Ltd. All rights reserved.