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CO2 emission performance evaluation of Chinese port enterprises: a modified meta-frontier non-radial directional distance function approach

CO2 emission performance evaluation of Chinese port enterprises: a modified meta-frontier non-radial directional distance function approach
CO2 emission performance evaluation of Chinese port enterprises: a modified meta-frontier non-radial directional distance function approach
The rapid development of China’s port industry has led to serious CO2 emission problems. In this study, using the panel data of 16 port enterprises in China during 2013–2018, we first classified port enterprises into two groups based on the criterion of size and complexity. Then, we use a modified non-radial directional distance function in the meta-frontier framework to evaluate the port CEP and its dynamic changes as well as driving forces. The results show that the CEP of the whole is poor over the sample period on the basis of meta-frontier. Both groups performed well in CEP with respect to their specific group frontiers. Driving forces of the growth of CEP differ among port groups and individual port. Additionally, the effect of environmental regulation on CEP is positive, while the effect of openness on the growth of CEP is negative.
CO emission performance, Data envelopment analysis, Meta-frontier, Non-radial directional distance function, Port enterprises
1361-9209
Li, Yan
675951ce-efdb-4b45-ac06-95a36bac63dc
Li, Jiawei
74fa0a87-c34d-4ac8-bd64-23fcb4a60a61
Gong, Yu
86c8d37a-744d-46ab-8b43-18447ccaf39c
Wei, Fangqing
14c991b7-2dab-43cf-8bcd-68c68318bbeb
Huang, Qingbo
89941abe-d98f-4e1e-8af1-ff320f395fb4
Li, Yan
675951ce-efdb-4b45-ac06-95a36bac63dc
Li, Jiawei
74fa0a87-c34d-4ac8-bd64-23fcb4a60a61
Gong, Yu
86c8d37a-744d-46ab-8b43-18447ccaf39c
Wei, Fangqing
14c991b7-2dab-43cf-8bcd-68c68318bbeb
Huang, Qingbo
89941abe-d98f-4e1e-8af1-ff320f395fb4

Li, Yan, Li, Jiawei, Gong, Yu, Wei, Fangqing and Huang, Qingbo (2020) CO2 emission performance evaluation of Chinese port enterprises: a modified meta-frontier non-radial directional distance function approach. Transportation Research Part D: Transport and Environment, 89, [102605]. (doi:10.1016/j.trd.2020.102605).

Record type: Article

Abstract

The rapid development of China’s port industry has led to serious CO2 emission problems. In this study, using the panel data of 16 port enterprises in China during 2013–2018, we first classified port enterprises into two groups based on the criterion of size and complexity. Then, we use a modified non-radial directional distance function in the meta-frontier framework to evaluate the port CEP and its dynamic changes as well as driving forces. The results show that the CEP of the whole is poor over the sample period on the basis of meta-frontier. Both groups performed well in CEP with respect to their specific group frontiers. Driving forces of the growth of CEP differ among port groups and individual port. Additionally, the effect of environmental regulation on CEP is positive, while the effect of openness on the growth of CEP is negative.

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TRD main text 20200907 accepted version - Accepted Manuscript
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Accepted/In Press date: 20 October 2020
e-pub ahead of print date: 13 November 2020
Published date: 1 December 2020
Keywords: CO emission performance, Data envelopment analysis, Meta-frontier, Non-radial directional distance function, Port enterprises

Identifiers

Local EPrints ID: 445097
URI: http://eprints.soton.ac.uk/id/eprint/445097
ISSN: 1361-9209
PURE UUID: 252d943a-ea04-4f18-a5c3-d259f459aa63
ORCID for Yu Gong: ORCID iD orcid.org/0000-0002-5411-376X

Catalogue record

Date deposited: 19 Nov 2020 17:32
Last modified: 18 Jun 2022 01:47

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Contributors

Author: Yan Li
Author: Jiawei Li
Author: Yu Gong ORCID iD
Author: Fangqing Wei
Author: Qingbo Huang

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