Proceedings of the 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023)

<Previous Article In Volume
Next Article In Volume>

Prediction of Carbon Peak in Shaanxi Province and Its Cities

Authors
Weixian Xue1, Liangmin Wang1, *
1School of Economics and Management, Xi’an University of Technology, Xi’an 710054, China
*Corresponding author. Email: wlm0430@126.com
Corresponding Author
Liangmin Wang
Available Online 26 July 2023.
DOI
10.2991/978-94-6463-200-2_97How to use a DOI?
Keywords
peak carbon dioxide emissions; environmental kuznets curve; Shaanxi province
Abstract

Shaanxi Province is an important energy province in China. There are great differences among different regions in resource endowment, industrial advantages and economic development level. Predicting the peak value is conducive to the early realization of the carbon peak goal in Shaanxi Province and the overall green transformation of economic and social development. On this basis, the IPCC method was used to calculate the carbon emissions of Shaanxi Province and other cities, and the EKC method was used to predict the peak carbon emissions. The results showed that:(1) CO2 emissions in Shaanxi Province showed an upward trend from 2011 to 2020, reaching 276,037,500 tons in 2020, in which coal accounted for the largest proportion of CO2 emissions. The largest carbon emission is Yulin City, the least is Ankang City. (2) Shaanxi Province will reach its carbon emission peak in 2033. With the exception of Xi 'an, Tongchuan and Shangluo, all cities will reach their carbon peak by 2030. The earliest peak is Weinan City, the latest is Tongchuan City.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
26 July 2023
ISBN
10.2991/978-94-6463-200-2_97
ISSN
2589-4919
DOI
10.2991/978-94-6463-200-2_97How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Weixian Xue
AU  - Liangmin Wang
PY  - 2023
DA  - 2023/07/26
TI  - Prediction of Carbon Peak in Shaanxi Province and Its Cities
BT  - Proceedings of the 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023)
PB  - Atlantis Press
SP  - 938
EP  - 945
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-200-2_97
DO  - 10.2991/978-94-6463-200-2_97
ID  - Xue2023
ER  -