An Empirical Study on the Relationship Between Energy Carbon Emissions and Economic Growth Based on EKC—Take Yunnan Province as an Example
- DOI
- 10.2991/assehr.k.210519.207How to use a DOI?
- Keywords
- EKC curve, carbon emissions, economic growth, GM(1,1) model
- Abstract
In the face of deeper international competition and the security of the energy environment in the future, “carbon peaking” has become an important starting point. This paper selects the data of Yunnan Province during the 20 years from 2000 to 2019, and calculates the carbon emission level of energy consumption in Yunnan Province based on the carbon emission coefficient and calculation method published by the IPCC, and uses Eviews8.0 software to verify the relationship between energy carbon emissions and economic growth in Yunnan Province. According to the characteristics of the environmental Kuzpitz curve, the per capita GDP of Yunnan Province’s carbon peak is estimated based on the model; finally, the gray prediction model is used to predict the inflection point at which carbon emissions reach the maximum. The empirical results show that from 2000 to 2019, the total carbon emissions in Yunnan Province showed a fluctuating upward trend, and the carbon emission intensity showed a fluctuating downward trend. The relationship between carbon emissions and economic growth conformed to the shape of the environmental Kuzpitz curve, showing an inverted “U” The theoretical inflection point of carbon emissions is in 2021.
- Copyright
- © 2021, 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 - Lulin Zhu AU - XiaoQian Zhou AU - YuanYi Huang AU - Weiwen Huang PY - 2021 DA - 2021/05/20 TI - An Empirical Study on the Relationship Between Energy Carbon Emissions and Economic Growth Based on EKC—Take Yunnan Province as an Example BT - Proceedings of the 7th International Conference on Humanities and Social Science Research (ICHSSR 2021) PB - Atlantis Press SP - 1036 EP - 1044 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.210519.207 DO - 10.2991/assehr.k.210519.207 ID - Zhu2021 ER -