Proceedings of the 2018 2nd International Conference on Economic Development and Education Management (ICEDEM 2018)

Research on the Influence of Industrial Structure Adjustment on the Efficiency of Low Carbon Logistics in Hebei Province

Authors
Xiao Zhang
Corresponding Author
Xiao Zhang
Available Online December 2018.
DOI
https://doi.org/10.2991/icedem-18.2018.44How to use a DOI?
Keywords
Industrial Structure Adjustment; Low Carbon Logistics Efficiency; DEA Method; Tobit Model
Abstract
Within the context of low carbonization, the adjustment and optimization of industrial structure plays an important role in improving the efficiency of low-carbon development of logistics industry in Hebei Province. Seven indicators including logistics carbon emissions, logistics industry gross production value and fixed asset investment are selected. The DEA and Tobit models are used to calculate the data of Hebei Province from 2006 to 2015. The results show that the overall efficiency of low carbon logistics in Hebei Province is not high. The efficiency rates of the six years are positive; and the adjustment of industrial structure has a positive effect on the efficiency of low-carbon logistics.
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Proceedings
2018 2nd International Conference on Economic Development and Education Management (ICEDEM 2018)
Part of series
Advances in Social Science, Education and Humanities Research
Publication Date
December 2018
ISBN
978-94-6252-642-6
ISSN
2352-5398
DOI
https://doi.org/10.2991/icedem-18.2018.44How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xiao Zhang
PY  - 2018/12
DA  - 2018/12
TI  - Research on the Influence of Industrial Structure Adjustment on the Efficiency of Low Carbon Logistics in Hebei Province
BT  - 2018 2nd International Conference on Economic Development and Education Management (ICEDEM 2018)
PB  - Atlantis Press
SP  - 172
EP  - 174
SN  - 2352-5398
UR  - https://doi.org/10.2991/icedem-18.2018.44
DO  - https://doi.org/10.2991/icedem-18.2018.44
ID  - Zhang2018/12
ER  -