Published October 2018 | Version v1
Journal article

Investigating the role of cooperation in the GHG abatement costs of airlines under CNG2020 strategy via a DEA cross PAC model

  • 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.2018.07.184

Additional 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.