Proceedings of the 2022 2nd International Conference on Economic Development and Business Culture (ICEDBC 2022)

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Study for the Carbon Emission Influencing Factors of China Based on Random Forest Model

Authors
Jinjin Yang1, *
1College of Management and Economics, China University of Petroleum (Beijing), Beijing, China
*Corresponding author. Email: yangjinjin2022@126.com
Corresponding Author
Jinjin Yang
Available Online 31 December 2022.
DOI
10.2991/978-94-6463-036-7_145How to use a DOI?
Keywords
Carbon emission; Random forest model; Scientific and technological progress; Low-carbon economy
ABSTRACT

In order to cope with global climate change and achieve the goal of sustainable development, low-carbon economy has become a new economic development trend. Carbon emissions, as an important indicator of the level of low-carbon economy, are affected by many factors. Therefore, this paper first analyzes the importance of several influencing factors affecting carbon emissions by using random forest regression model, and then proposes to use the number of scientific and technological journals as an indicator to measure the progress of science and technology, and introduces it into the quantitative analysis of the impact factors for characteristic importance analysis. The results show that compared with the growth of forest area and the change in the proportion of energy consumption of new energy sources, the effect of scientific and technological progress on energy conservation and emission reduction is more significant. Based on the analysis of the results, this paper finally provides some inspiration and suggestions for future policy formulation and economic development.

Copyright
© 2022 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.

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Volume Title
Proceedings of the 2022 2nd International Conference on Economic Development and Business Culture (ICEDBC 2022)
Series
Advances in Economics, Business and Management Research
Publication Date
31 December 2022
ISBN
10.2991/978-94-6463-036-7_145
ISSN
2352-5428
DOI
10.2991/978-94-6463-036-7_145How to use a DOI?
Copyright
© 2022 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  - Jinjin Yang
PY  - 2022
DA  - 2022/12/31
TI  - Study for the Carbon Emission Influencing Factors of China Based on Random Forest Model
BT  - Proceedings of the 2022 2nd International Conference on Economic Development and Business Culture (ICEDBC 2022)
PB  - Atlantis Press
SP  - 989
EP  - 994
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-036-7_145
DO  - 10.2991/978-94-6463-036-7_145
ID  - Yang2022
ER  -