TY - JOUR
T1 - Eco-innovation in transportation industry
T2 - A double frontier common weights analysis with ideal point method for Malmquist productivity index
AU - Kiani Mavi, Reza
AU - Fathi, Amirali
AU - Farzipoor Saen, Reza
AU - Kiani Mavi, Neda
N1 - Publisher Copyright:
© 2019 Elsevier B.V.
PY - 2019/8
Y1 - 2019/8
N2 - Transportation industry is one of the major contributors to the environmental pollution. Analyzing efficiency of this industry helps people and societies to enhance their awareness of its performance and develop managerial strategies. The need for sustainable development in transportation industry requires efficiency analysis over time. Malmquist productivity index (MPI) is a popular approach for performance evaluation during consecutive periods. This study offers a novel analysis and contribution to the knowledge of efficiency evaluation with DEA by (i) proposing a novel common set of weights model for double frontier DEA, (ii) dealing with undesirable outputs for efficiency analysis, and (iii) deriving a common set of weights for Malmquist productivity index using ideal point method. This paper investigates freight transportation in Iran to illustrate the applicability of the proposed CSW model. Developing CSW for MPI analysis to decompose overall efficiency into efficiency change and technical change enables decision makers to accurately trace the eco-innovation and environmental efficiency in this industry. Results show that majority of DMUs (except 4 DMUs) have experienced a constant or declining trend in terms of eco-innovation and environmental efficiency during 2014–2017.
AB - Transportation industry is one of the major contributors to the environmental pollution. Analyzing efficiency of this industry helps people and societies to enhance their awareness of its performance and develop managerial strategies. The need for sustainable development in transportation industry requires efficiency analysis over time. Malmquist productivity index (MPI) is a popular approach for performance evaluation during consecutive periods. This study offers a novel analysis and contribution to the knowledge of efficiency evaluation with DEA by (i) proposing a novel common set of weights model for double frontier DEA, (ii) dealing with undesirable outputs for efficiency analysis, and (iii) deriving a common set of weights for Malmquist productivity index using ideal point method. This paper investigates freight transportation in Iran to illustrate the applicability of the proposed CSW model. Developing CSW for MPI analysis to decompose overall efficiency into efficiency change and technical change enables decision makers to accurately trace the eco-innovation and environmental efficiency in this industry. Results show that majority of DMUs (except 4 DMUs) have experienced a constant or declining trend in terms of eco-innovation and environmental efficiency during 2014–2017.
KW - Common set of weights
KW - Data envelopment analysis
KW - Double frontier
KW - Eco-innovation
KW - Environmental efficiency
KW - Transportation
UR - http://www.scopus.com/inward/record.url?scp=85064656089&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85064656089&partnerID=8YFLogxK
U2 - 10.1016/j.resconrec.2019.04.017
DO - 10.1016/j.resconrec.2019.04.017
M3 - Article
AN - SCOPUS:85064656089
SN - 0921-3449
VL - 147
SP - 39
EP - 48
JO - Resources, Conservation and Recycling
JF - Resources, Conservation and Recycling
ER -
