Open Access
| Issue |
E3S Web Conf.
Volume 520, 2024
4th International Conference on Environment Resources and Energy Engineering (ICEREE 2024)
|
|
|---|---|---|
| Article Number | 02032 | |
| Number of page(s) | 5 | |
| Section | Carbon Emission Control and Waste Resource Utilization | |
| DOI | https://doi.org/10.1051/e3sconf/202452002032 | |
| Published online | 03 May 2024 | |
- Tian Y., Zhang B., Yin C.J., et al. Distributional dynamics and trend evolution of China's agricultural carbon emissions: Analysis on panel data of 31 provinces from 2002 to 2011 J. China Population, Resource and Environment, 24(7): 91–98(2014) [Google Scholar]
- Kaya Y. Impact of carbon dioxide emission control on GNP growth: interpretation of proposed scenarios In: IPCC Energy and Industry Subgroup, Paris Pp. 144–176(1989) [Google Scholar]
- Dai Xiaowen, He Yanqiu, Zhong Qiubo. Driving factors and their contributions to agricultural CO2 emission due to energy consumption in China: Based on an expended Kaya identity and LMDI decomposition method J. Chinese Journal of EcoAgriculture, 23(11): 1445–1454(2015) [Google Scholar]
- Sun Yi, Xu Xiaoyu, Ai Guiyan. Research on the influencing factors of carbon emissions in Heilongjiang Province based on the STIRPAT model J. Environment and Development, 32 (2): 201–202 (2020) [Google Scholar]
- Ehrlich P.R., Holdren J.P. Impact of Population Growth J. Science, 171 (3977): 1212–1245 (1971) [Google Scholar]
- Tong Xin, Chen Kai, Li Gang. Influencing Factors Analysis and Trend Forecasting of China’s Carbon Emissions—Empirical Study Based on STIRPAT and GM(1,1) Models. Journal of Northeastern University Natural Science, 36(2): 297–300(2015) [Google Scholar]
- York R., Rosa E.A., Dietz T. A rift in modernity? Assessing the anthropogenic sources of global climate change with the STIRPAT model. J. International Journal of Sociology and Social Policy, 23(10): 31–51(2003) [CrossRef] [Google Scholar]
- Breiman L. Random forests J. Machine Learning, 45 (1): 5–32(2001) [CrossRef] [Google Scholar]
- Yu Wenmeng, Zhang Tingting, Shen Dajun. Analysis of the evolution of carbon emission intensity patterns and influencing factors in counties of China based on a random forest model J. Chinese Environmental Science, 42 (6): 2788–2798 (2022) [Google Scholar]
- Kong Fanwen, Zhang Guiheng, Wang Yinghua. Research on the Importance of Factors Influencing Carbon Emissions from the Construction Industry in Liaoning Province Based on Random Forest Algorithm J. Journal of Shenyang Jianzhu University, 25 (1): 58–63(2023) [Google Scholar]
- Pang L. Empirical study of regional carbon emissions of agriculture in China J. Journal of Arid Land Resources and Environment, 28(12): 1–7(2014) [Google Scholar]
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