Analysis of carbon emission and its influencing factors

DOI

10.2991/icemaess-18.2018.32How to use a DOI?

Keywords

Carbon emissions, STIRPAT model, Spatial Dubin model

Abstract

Based on the 2000-2015 data of 30 provinces in China, this paper discusses the total population, per capita GDP and the influence of the energy intensity of carbon emissions, using the IPCC provides the calculation method of the carbon emissions, the STIRPAT model and Spatial Dubin model,.The results show that firstly , the change trend of carbon emissions in 30 provinces in China is affected by the carbon emissions of neighboring provinces, i.e. there is spatial autocorrelation. Secondly, the use of Spatial Dubin model to estimate the population, the per capita GDP and energy intensity has a significant influence on carbon emissions. Thirdly, the variables of this province and adjacent provinces of carbon emissions have a positive effect, energy intensity is the most important factors affecting carbon emissions.

Copyright

© 2018, 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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TY  - CONF
AU  - Guokun Qu
PY  - 2018/11
DA  - 2018/11
TI  - Analysis of carbon emission and its influencing factors
BT  - Proceedings of the 2018 5th International Conference on Education, Management, Arts, Economics and Social Science (ICEMAESS 2018)
PB  - Atlantis Press
SP  - 152
EP  - 157
SN  - 2352-5398
UR  - https://doi.org/10.2991/icemaess-18.2018.32
DO  - 10.2991/icemaess-18.2018.32
ID  - Qu2018/11
ER  -