Proceedings of the 2017 2nd International Conference on Education, Management Science and Economics (ICEMSE 2017)

Analysis on the Estimation of Consumption of Carbon Emission in Urban and Rural Residents in Liaoning Province

Authors
Xiaoyuan Qi, Ying Han, Yaxin Wang, Yanhuang Huang
Corresponding Author
Xiaoyuan Qi
Available Online December 2017.
DOI
https://doi.org/10.2991/icemse-17.2017.76How to use a DOI?
Keywords
household consumption, direct carbon emissions, indirect carbon emissions, input-output analysis
Abstract
carbon emission research is mostly concentrated on the field of industrial production, but ignore the role of residents' consumption in promoting carbon emissions. So this paper estimates the carbon emissions from urban and rural residents in Liaoning Province via input-output method. The conclusions are as follows: consumption of direct carbon emissions from urban and rural residents in Liaoning Province shows a tendency to decrease first, then rise while indirect still rising. What's more, the urban residents' direct and indirect carbon emissions are both much higher than that of rural. Indirect carbon emissions from urban residents in Liaoning are the main source of carbon emissions from residents' consumption, which is the focus of carbon emission control at the same time. According to the results, then we could suggest the relevant departments in Liaoning province take the effective measures.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Xiaoyuan Qi
AU  - Ying Han
AU  - Yaxin Wang
AU  - Yanhuang Huang
PY  - 2017/12
DA  - 2017/12
TI  - Analysis on the Estimation of Consumption of Carbon Emission in Urban and Rural Residents in Liaoning Province
BT  - Proceedings of the 2017 2nd International Conference on Education, Management Science and Economics (ICEMSE 2017)
PB  - Atlantis Press
SP  - 312
EP  - 314
SN  - 2352-5428
UR  - https://doi.org/10.2991/icemse-17.2017.76
DO  - https://doi.org/10.2991/icemse-17.2017.76
ID  - Qi2017/12
ER  -