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Determining China's CO2 emissions peak with a dynamic nonlinear artificial neural network approach and scenario analysis

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Cited by:

  1. Shi, Changfeng & Zhi, Jiaqi & Yao, Xiao & Zhang, Hong & Yu, Yue & Zeng, Qingshun & Li, Luji & Zhang, Yuxi, 2023. "How can China achieve the 2030 carbon peak goal—a crossover analysis based on low-carbon economics and deep learning," Energy, Elsevier, vol. 269(C).
  2. Zhan, Jinyan & Wang, Chao & Wang, Huihui & Zhang, Fan & Li, Zhihui, 2024. "Pathways to achieve carbon emission peak and carbon neutrality by 2060: A case study in the Beijing-Tianjin-Hebei region, China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
  3. Elshkaki, Ayman, 2019. "Material-energy-water-carbon nexus in China’s electricity generation system up to 2050," Energy, Elsevier, vol. 189(C).
  4. Hongqiang Wang & Wenyi Xu & Yingjie Zhang, 2023. "Research on Provincial Carbon Emission Reduction Path Based on LMDI-SD-Tapio Decoupling Model: The Case of Guizhou, China," Sustainability, MDPI, vol. 15(17), pages 1-20, September.
  5. Di Zhu & Yinghong Wang & Fenglin Zhang, 2022. "Energy Price Prediction Integrated with Singular Spectrum Analysis and Long Short-Term Memory Network against the Background of Carbon Neutrality," Energies, MDPI, vol. 15(21), pages 1-20, October.
  6. Zhi Wang & Fengwan Zhang & Shaoquan Liu & Dingde Xu, 2023. "Land Use Structure Optimization and Ecological Benefit Evaluation in Chengdu-Chongqing Urban Agglomeration Based on Carbon Neutrality," Land, MDPI, vol. 12(5), pages 1-22, May.
  7. Doh Dinga, Christian & Wen, Zongguo, 2021. "Many-objective optimization of energy conservation and emission reduction in China’s cement industry," Applied Energy, Elsevier, vol. 304(C).
  8. Xu, Guangyue & Wang, Weimin, 2020. "China’s energy consumption in construction and building sectors: An outlook to 2100," Energy, Elsevier, vol. 195(C).
  9. Feng, Qianqian & Sun, Xiaolei & Hao, Jun & Li, Jianping, 2021. "Predictability dynamics of multifactor-influenced installed capacity: A perspective of country clustering," Energy, Elsevier, vol. 214(C).
  10. Xu, Guangyue & Schwarz, Peter & Yang, Hualiu, 2020. "Adjusting energy consumption structure to achieve China's CO2 emissions peak," Renewable and Sustainable Energy Reviews, Elsevier, vol. 122(C).
  11. Meixia Wang, 2024. "Predicting China’s Energy Consumption and CO 2 Emissions by Employing a Novel Grey Model," Energies, MDPI, vol. 17(21), pages 1-25, October.
  12. Murat Peksen, 2021. "Hydrogen Technology towards the Solution of Environment-Friendly New Energy Vehicles," Energies, MDPI, vol. 14(16), pages 1-6, August.
  13. Wang, Qi & Suo, Ruixia & Han, Qiutong, 2024. "A study on natural gas consumption forecasting in China using the LMDI-PSO-LSTM model: Factor decomposition and scenario analysis," Energy, Elsevier, vol. 292(C).
  14. Ye, Li & Yang, Deling & Dang, Yaoguo & Wang, Junjie, 2022. "An enhanced multivariable dynamic time-delay discrete grey forecasting model for predicting China's carbon emissions," Energy, Elsevier, vol. 249(C).
  15. Caifen Xu & Yu Zhang & Yangmeina Yang & Huiying Gao, 2023. "Carbon Peak Scenario Simulation of Manufacturing Carbon Emissions in Northeast China: Perspective of Structure Optimization," Energies, MDPI, vol. 16(13), pages 1-31, July.
  16. Xu, Guangyue & Zang, Lanmei & Schwarz, Peter & Yang, Hualiu, 2023. "Achieving Chinaʼs carbon neutrality goal by economic growth rate adjustment and low-carbon energy structure," Energy Policy, Elsevier, vol. 183(C).
  17. Zhou, Wenhao & Zeng, Bo & Wang, Jianzhou & Luo, Xiaoshuang & Liu, Xianzhou, 2021. "Forecasting Chinese carbon emissions using a novel grey rolling prediction model," Chaos, Solitons & Fractals, Elsevier, vol. 147(C).
  18. Zhang, Junjie & Yan, Zengfeng & Bi, Wenbei & Ni, Pingan & Lei, Fuming & Yao, Shanshan & Lang, Jiachen, 2023. "Prediction and scenario simulation of the carbon emissions of public buildings in the operation stage based on an energy audit in Xi'an, China," Energy Policy, Elsevier, vol. 173(C).
  19. Guangyue Xu & Peter Schwarz & Xiaojing Shi & Nathan Duma, 2023. "Scenario Paths of Developing Forest Carbon Sinks for China to Achieve Carbon Neutrality," Land, MDPI, vol. 12(7), pages 1-19, June.
  20. Khan Rabnawaz & Kong YuSheng, 2020. "Effects of Energy Consumption on GDP: New Evidence of 24 Countries on Their Natural Resources and Production of Electricity," Ekonomika (Economics), Sciendo, vol. 99(1), pages 26-49, June.
  21. Xu, Guangyue & Dong, Haoyun & Xu, Zhenci & Bhattarai, Nishan, 2022. "China can reach carbon neutrality before 2050 by improving economic development quality," Energy, Elsevier, vol. 243(C).
  22. Ding, Song & Hu, Jiaqi & Lin, Qianqian, 2023. "Accurate forecasts and comparative analysis of Chinese CO2 emissions using a superior time-delay grey model," Energy Economics, Elsevier, vol. 126(C).
  23. Xiao Zhang & Meng Li & Qiao Li & Yanan Wang & Wei Chen, 2021. "Spatial Threshold Effect of Industrial Land Use Efficiency on Industrial Carbon Emissions: A Case Study in China," IJERPH, MDPI, vol. 18(17), pages 1-17, September.
  24. Zeng, Qingshun & Shi, Changfeng & Zhu, Wenjun & Zhi, Jiaqi & Na, Xiaohong, 2023. "Sequential data-driven carbon peaking path simulation research of the Yangtze River Delta urban agglomeration based on semantic mining and heuristic algorithm optimization," Energy, Elsevier, vol. 285(C).
  25. Tao Song & Xinling Zou & Nuo Wang & Danyang Zhang & Yuxiang Zhao & Erdan Wang, 2023. "Prediction of China’s Carbon Peak Attainment Pathway from Both Production-Side and Consumption-Side Perspectives," Sustainability, MDPI, vol. 15(6), pages 1-15, March.
  26. Doh Dinga, Christian & Wen, Zongguo, 2022. "Many-objective optimization of energy conservation and emission reduction under uncertainty: A case study in China's cement industry," Energy, Elsevier, vol. 253(C).
  27. Pengcheng Xue & Jiaxin Liu & Binbin Liu & Chuang Zhu, 2023. "Impact of Urbanisation on the Spatial and Temporal Evolution of Carbon Emissions and the Potential for Emission Reduction in a Dual-Carbon Reduction Context," Sustainability, MDPI, vol. 15(6), pages 1-14, March.
  28. Nguyen, Quyen & Diaz-Rainey, Ivan & Kuruppuarachchi, Duminda, 2021. "Predicting corporate carbon footprints for climate finance risk analyses: A machine learning approach," Energy Economics, Elsevier, vol. 95(C).
  29. Xu, Haitao & Pan, Xiongfeng & Guo, Shucen & Lu, Yuduo, 2021. "Forecasting Chinese CO2 emission using a non-linear multi-agent intertemporal optimization model and scenario analysis," Energy, Elsevier, vol. 228(C).
  30. Chen, Han & Yang, Lei & Chen, Wenying, 2020. "Modelling national, provincial and city-level low-carbon energy transformation pathways," Energy Policy, Elsevier, vol. 137(C).
  31. Ding, Qi & Xiao, Xinping & Kong, Dekai, 2023. "Estimating energy-related CO2 emissions using a novel multivariable fuzzy grey model with time-delay and interaction effect characteristics," Energy, Elsevier, vol. 263(PE).
  32. Lin, Boqiang & Xu, Bin, 2020. "Effective ways to reduce CO2 emissions from China's heavy industry? Evidence from semiparametric regression models," Energy Economics, Elsevier, vol. 92(C).
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