Grey uncertain prediction of carbon emissions peak from thirty-one provinces and municipalities in China

References

• Agusti-Panared, A., S. Massart, F. Chevallier, S. Boussetta, G. Balsamo, A. Beljaars, P. Ciais, N. M. Deutscher, R. Engelen, and L. Jones. 2021. Forecasting global atmospheric CO2. Atmospheric Chemistry And Physics 14 (21):11959–83. doi:10.1007/s13762-021-03279-1.
   Google Scholar
• Alkathery, M., and K. Chaudhuri. 2021. Co-movement between oil price, CO2 emission, renewable energy and energy equities: Evidence from GCC countries. Journal of Environmental Management 297:113350. doi:10.1016/j.jenvman.2021.113350.
   PubMed Web of Science ®Google Scholar
• Ayvaz, B., A. Kusakci, and G. Temur. 2017. Energy-related CO2 emission forecast for Turkey and Europe and Eurasia A discrete grey model approach. Grey Systems-Theory And Application 7 (3):437–54. doi:10.1108/GS-08-2017-0031.
   Web of Science ®Google Scholar
• Baglaeva, E., A. Buevich, A. Sergeev, A. Rakhmatova, and A. Shichkin. 2021. Forecasting of some greenhouse gases content trend in the air of the Russian Arctic region. Atmospheric Pollution Research 12 (2):68–75. doi:10.1016/j.apr.2020.10.009.
   Web of Science ®Google Scholar
• Belbute, J., and A. Pereira. 2020. Reference forecasts for CO2 emissions from fossil-fuel combustion and cement production in Portugal. Energy Policy 144:111642. doi:10.1016/j.enpol.2020.111642.
   Web of Science ®Google Scholar
• Chiu, Y.; Hu, Y.; Jiang, P.; Xie, J., and Ken, Y. A Multivariate Grey Prediction Model Using Neural Networks with Application to Carbon Dioxide Emissions Forecasting. Mathematical Problems Engineering. 2020, 8829948. DOI: 10.1155/2020/8829948.
   Web of Science ®Google Scholar
• Christensen, B., N. D. Gupta, and P. de Magistris. 2021. Measuring the impact of clean energy production on CO2 abatement in Denmark: Upper bound estimation and forecasting. Journal of the Royal Statistical Society Series A-Statistics Society 184 (1):118–49. doi:10.1111/rssa.12616.
   Web of Science ®Google Scholar
• Gao, M., H. Yang, Q. Xiao, and M. Goh. 2021. A novel fractional grey Riccati model for carbon emission prediction. Journal Of Cleaner Production 282:124471. doi:10.1016/j.jclepro.2020.124471.
   Web of Science ®Google Scholar
• Ghalandari, M., H. Fard, A. Birjandi, and I. Mahariq. 2021. Energy-related carbon dioxide emission forecasting of four European countries by employing data-driven methods. Journal of Thermal Analysis and Calorimetry 144 (5):1999–2008. doi:10.1007/s10973-020-10400-y.
   Web of Science ®Google Scholar
• Guo, J., L. Tu, Z. Qiao, and L. Wu. 2021. Forecasting the air quality in 18 cities of Henan Province by the compound accumulative grey model. Journal of Cleaner Production 310:127582. doi:10.1016/j.jclepro.2021.127582.
   Web of Science ®Google Scholar
• Li, S., Y. Siu, and G. Zhao. 2021. Driving factors of CO2 emissions: Further study based on machine learning. Frontiers In Environmental Science 9:721517. doi:10.3389/fenvs.2021.721517.
   Web of Science ®Google Scholar
• Lin, B. Q., and S. D. Agyeman. 2020. Assessing sub-Saharan Africa’s low carbon development through the dynamics of energy-related carbon dioxide emissions. Journal of Cleaner Production 274:122676. doi:10.1016/j.jclepro.2020.122676.
   Web of Science ®Google Scholar
• Lin, B., and M. Wang. 2021. The role of socio-economic factors in China’s CO2 emissions from production activities. Sustainable Production Consumption 27:217–27. doi:10.1016/j.spc.2020.10.029.
   Web of Science ®Google Scholar
• Lu, W., Y. Li, and Y. Lee. 2021. Impact of the Paris agreement on China’s carbon reduction and the economy. The Journal of Asian Studies 24 (3):129–50. doi:10.21740/jas.2021.08.24.3.129.
   Google Scholar
• Malik, A., E. Hussain, S. Baig, and M. Khokhar. 2020. Forecasting CO2 emissions from energy consumption in Pakistan under different scenarios: The China-Pakistan economic corridor. Greenhouse Gases-Science and Technology 10 (2):380–89. doi:10.1002/ghg.1968.
   Web of Science ®Google Scholar
• Meinshausen, M., N. Meinshausen, W. Hare, S. Raper, K. Frieler, R. Knutti, D. Frame, and M. Allen. 2009. Greenhouse-gas emission targets for limiting global warming to 2 degrees C. Nature 458 (7242):1158–U96. doi:10.1038/nature08017.
   PubMed Web of Science ®Google Scholar
• Meng, M., and J. Zhou. 2020. Has air pollution emission level in the Beijing-Tianjin-Hebei region peaked? A panel data analysis. Ecological Indicators 119:106875. doi:10.1016/j.ecolind.2020.106875.
   PubMed Web of Science ®Google Scholar
• Merchante, L., D. Clar, A. Carnicero, F. Lopez-Valdes, and J. Jimenez-Octavio. 2021. Real-time CO2 emissions estimation in Spain and application to the COVID-19 pandemic. Journal of Cleaner Production 296:126425. doi:10.1016/j.jclepro.2021.126425.
   PubMed Web of Science ®Google Scholar
• Michieka, N., J. Fletcher, and W. Burnett. 2013. An empirical analysis of the role of China’s exports on CO2 emissions. Applied Energy 104:258–67. doi:10.1016/j.apenergy.2012.10.044.
   Web of Science ®Google Scholar
• Pan, X., H. Xu, M. Song, Y. Lu, and T. Zong. 2021. Forecasting of industrial structure evolution and CO2 emissions in Liaoning Province. Journal of Cleaner Production 285:124870. doi:10.1016/j.jclepro.2020.124870.
   Web of Science ®Google Scholar
• Patrizio, P., M. Fajaidy, M. Bui, and D. Mac. 2021. CO2 mitigation or removal: The optimal uses of biomass in energy system decarbonization. iScience 24 (7):102765. doi:10.1016/j.isci.2021.102765.
   PubMed Web of Science ®Google Scholar
• Peng, Z., and Q. Wu. 2020. Evaluation of the relationship between energy consumption, economic growth, and CO2 emissions in China’ transport sector: The FMOLS and VECM approaches. Environment Development and Sustainability 22 (7):6537–61. doi:10.1007/s10668-021-01628-1.
   Web of Science ®Google Scholar
• Qiu, S., T. Lei, J. Wu, and S. Bi. 2021. Energy demand and supply planning of China through 2060. Energy 234:121193. doi:10.1016/j.energy.2021.121193.
   Web of Science ®Google Scholar
• Shen, Q., Q. Shi, T. Tang, and L. Yao. 2020. A novel weighted fractional GM(1,1) model and its applications. Complexity 2020:1–20. 2020: 20. doi:10.1155/2020/6570683.
   Web of Science ®Google Scholar
• Shou, M., Z. Wang, D. Li, and Y. Wang. 2020. Assessment of the air pollution emission reduction effect of the coal substitution policy in China: An improved grey modelling approach. Environmental Science and Pollution Research 27 (27):34357–68. doi:10.1007/s11356-020-09435-3.
   PubMed Web of Science ®Google Scholar
• Tong, M., H. Duan, and L. He. 2021. A novel Grey Verhulst model and its application in forecasting CO2 emissions. Environmental Science And Pollution Research 28 (24):31370–79. doi:10.1007/s11356-020-12137-5.
   PubMed Web of Science ®Google Scholar
• Tucki, K., O. Orynycz, and M. Mitoranek-Wojtanek. 2020. Perspectives for mitigation of CO2 emission due to development of electromobility in several countries. Energies 13 (16):4127. doi:10.3390/en13164127.
   Web of Science ®Google Scholar
• Wang, Z., Q. Z. Jiang, K. Dong, M. Mubarik, and X. C. Dong. 2020. Decomposition of the US CO2 emissions and its mitigation potential: An aggregate and sectoral analysis. Energy Policy 147:111925. doi:10.1016/j.enpol.2020.111925.
   Web of Science ®Google Scholar
• Wang, M., and C. Feng. 2021. How will the greening policy contribute to China’s greenhouse gas emission mitigation? A non-parametric forecast. Environmental Research 195:110779. doi:10.1016/j.envres.2021.110779.
   PubMed Web of Science ®Google Scholar
• Wang, M., W. Wang, and L. Wu. 2022. Application of a new grey multivariate forecasting model in the forecasting of energy consumption in 7 regions of China. Energy 243:120324. doi:10.1016/j.energy.2021.123024.
   Web of Science ®Google Scholar
• Wen, L., and X. Yuan. 2020. Forecasting CO2 emissions in China's commercial department, through BP neural network based on random forest and PSO. Science Of Total Environment 718:137194. doi:10.1016/j.scitotenv.2020.137194.
   PubMed Web of Science ®Google Scholar
• Wu, R., J. Wang, S. Wang, and K. Feng. 2021. The drivers of declining CO2 emissions trends in developed nations using an extended STIRPAT model: A historical and prospective analysis. Renewable and Sustainable Energy Reviews 149:111328. 2021.111328. doi:10.1016/j.rser.
   Web of Science ®Google Scholar
• Xu, Z., L. Liu, and L. Wu. 2020. Forecasting the carbon dioxide emissions in 53 countries and regions using a non-equigap grey model. Environmental Science and Pollution Research 28 (13):15659–72. doi:10.1007/s11356-020-11638-7.
   PubMed Web of Science ®Google Scholar
• Xu, H., X. Pan, S. Guo, and Y. Lu. 2021. Forecasting China’s CO2 emission using a non-linear multi-agent intertemporal optimization model and scenario analysis. Energy 228:120514. doi:10.1016/j.energy.2021.120514.
   Web of Science ®Google Scholar
• Yang, H. J., and J. F. O’Connell. 2020. Short-term carbon emissions forecast for aviation industry in Shanghai. Journal of Cleaner Production 275:122734. doi:10.1016/j.jclepro.2020.122734.
   Web of Science ®Google Scholar
• Ye, L., N. Xie, and A. Hu. 2021. A novel time-delay multivariate grey model for impact analysis of CO2 emissions from China’s transportation sectors. Applied Mathematical Modelling 91:493–507. doi:10.1016/j.apm.2020.09.045.
   Web of Science ®Google Scholar
• Zhang, F., X. Deng, L. Xie, and N. Xu. 2021. China’s energy-related carbon emissions projections for the shared socioeconomic pathways. Resources Conservation and Recycling 168:105456. doi:10.1016/j.resconrec.2021.105456.
   Web of Science ®Google Scholar
• Zhou, Y., J. Y. Zhang, and S. Hu. 2021. Regression analysis and driving force model building of CO2 emissions in China. Scientific Reports 11 (1):6715. doi:10.1038/s41598-021-86183-5.
   PubMed Web of Science ®Google Scholar