Proceedings of the 2014 International Conference on Management Science and Management Innovation

Analysis of Carbon Emissions of Logistics Industry in Tianjin Based on Environmental Kuznets Model

Authors
Li-Yi Zhang, Yang Li, Ying Wang
Corresponding Author
Li-Yi Zhang
Available Online June 2014.
DOI
10.2991/msmi-14.2014.38How to use a DOI?
Keywords
Logistics industry, Carbon emissions, EKC model.
Abstract

The logistics industry is one of the major industries involving carbon emissions. It is significant for energy-conservation and emissions-reduction to study the relationship between development of logistics and carbon emissions. This paper estimates the statistics of carbon emissions about logistics industry based on energy-consumption from 1995 to 2011 in Tianjin area. And then, time-series data relating to output value of logistics industry and the carbon emissions is fitted. This paper analyzes the situation of carbon emissions according to the result of regression analysis and EKC model. At last, low carbonization strategy is proposed according to local logistics industry status.

Copyright
© 2014, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2014 International Conference on Management Science and Management Innovation
Series
Advances in Economics, Business and Management Research
Publication Date
June 2014
ISBN
10.2991/msmi-14.2014.38
ISSN
2352-5428
DOI
10.2991/msmi-14.2014.38How to use a DOI?
Copyright
© 2014, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Li-Yi Zhang
AU  - Yang Li
AU  - Ying Wang
PY  - 2014/06
DA  - 2014/06
TI  - Analysis of Carbon Emissions of Logistics Industry in Tianjin Based on Environmental Kuznets Model
BT  - Proceedings of the 2014 International Conference on Management Science and Management Innovation
PB  - Atlantis Press
SP  - 209
EP  - 214
SN  - 2352-5428
UR  - https://doi.org/10.2991/msmi-14.2014.38
DO  - 10.2991/msmi-14.2014.38
ID  - Zhang2014/06
ER  -