Exploring China's oil consumption pathways toward 2060 under different climate targets
Tài liệu tham khảo
Akimoto, 2004, Assessment of global warming mitigation options with integrated assessment model DNE21, Energy Econ., 26, 635, 10.1016/j.eneco.2004.04.021
Aldy, 2016, Economic tools to promote transparency and comparability in the Paris agreement, Nat. Clim. Chang., 6, 1000, 10.1038/nclimate3106
Al-Fattah, 2020, A new artificial intelligence GANNATS model predicts gasoline demand of Saudi Arabia, J. Pet. Sci. Eng., 194, 10.1016/j.petrol.2020.107528
Al-Fattah, 2021, Application of the artificial intelligence GANNATS model in forecasting crude oil demand for Saudi Arabia and China, J. Pet. Sci. Eng., 200, 10.1016/j.petrol.2021.108368
Bosetti, 2006, A world induced technical change hybrid model, Energy J., 13-37
Bouwman, 2006, Integrated modelling of global environmental change, Overv. IMAGE, 2, 225
British Petroleum, 2023
Cai, 2016, Risk of multiple interacting tipping points should encourage rapid CO2 emission reduction, Nat. Clim. Chang., 6, 520, 10.1038/nclimate2964
Calvin, 2012, The role of Asia in mitigating climate change: results from the Asia modeling exercise, Energy Econ., 34, S251, 10.1016/j.eneco.2012.09.003
Chuai, 2022, Carbon neutrality check in spatial and the response to land use analysis in China, Environ. Impact Assess. Rev., 97, 10.1016/j.eiar.2022.106893
Duan, 2021, Medium- and long-term development path of natural gas consumption in China: based on a multi-model comparison framework, Nat. Gas Industry B, 8, 344, 10.1016/j.ngib.2021.07.004
Duan, 2021, Assessing China’s efforts to pursue the 1.5° C warming limit, Science, 372, 378, 10.1126/science.aba8767
Eom, 2015, The impact of near-term climate policy choices on technology and emission transition pathways, Technol. Forecast. Soc. Chang., 90, 73, 10.1016/j.techfore.2013.09.017
European Commission
Friedlingstein, 2014, Persistent growth of CO2 emissions and implications for reaching climate targets, Nat. Geosci., 7, 709, 10.1038/ngeo2248
Fujimori, 2012
Fujimori, 2017, SSP3: AIM implementation of shared socioeconomic pathways, Glob. Environ. Chang., 42, 268, 10.1016/j.gloenvcha.2016.06.009
Golub, 2014, Uncertainty in integrated assessment models of climate change: alternative analytical approaches, Environ. Model. Assess., 19, 99, 10.1007/s10666-013-9386-y
He, 2022, Factors influencing carbon emissions from China’s electricity industry: analysis using the combination of LMDI and K-means clustering, Environ. Impact Assess. Rev., 93, 10.1016/j.eiar.2021.106724
Hwang, 2017, The effect of learning on climate policy under fat-tailed risk, Resour. Energy Econ., 48, 1, 10.1016/j.reseneeco.2017.01.001
IEA, 2021
IPCC
Jiang, 2010, Technology roadmap for low carbon society in China, J. Renew. Sustain. Energy, 2
Karakurt, 2021, Modelling and forecasting the oil consumptions of the BRICS-T countries, Energy, 220, 10.1016/j.energy.2020.119720
Leimbach, 2010, Technological change and international trade–insights from REMIND-R, Energy J., 109–136
Li, 2018, Analysis and forecasting of the oil consumption in China based on combination models optimized by artificial intelligence algorithms, Energy, 144, 243, 10.1016/j.energy.2017.12.042
Ma, 2012, Oil development in China: current status and future trends, Energy Policy, 45, 43, 10.1016/j.enpol.2012.01.023
Mach, 2017, Toward the next generation of assessment, Annu. Rev. Environ. Resour., 42, 569, 10.1146/annurev-environ-102016-061007
Otto, 2015, Embracing uncertainty in climate change policy, Nat. Clim. Chang., 5, 917, 10.1038/nclimate2716
Pan, 2018, Decarbonization of China’s transportation sector: in light of national mitigation toward the Paris agreement goals, Energy, 155, 853, 10.1016/j.energy.2018.04.144
Pan, 2020, Analysis of China’s oil and gas consumption under different scenarios toward 2050: an integrated modeling, Energy, 116991
Raupach, 2014, Sharing a quota on cumulative carbon emissions, Nat. Clim. Chang., 4, 873, 10.1038/nclimate2384
Rogelj, 2015, Energy system transformations for limiting end-of-century warming to below 1.5 °C, Nat. Clim. Chang., 5, 519, 10.1038/nclimate2572
Tao, 2010, Scenarios of China’s oil consumption per capita (OCPC) using a hybrid factor decomposition-system dynamics (SD) simulation, Energy, 35, 168, 10.1016/j.energy.2009.09.007
Vrontisi, 2018, Enhancing global climate policy ambition towards a 1.5°C stabilization: a short-term multi-model assessment, Environ. Res. Lett., 13, 10.1088/1748-9326/aab53e
Wang, 2019, Forecasting China’s oil consumption: a comparison of novel nonlinear-dynamic grey model (GM), linear GM, nonlinear GM and metabolism GM, Energy, 183, 160, 10.1016/j.energy.2019.06.139
Xiao, 2018, A hybrid model based on selective ensemble for energy consumption forecasting in China, Energy, 159, 534, 10.1016/j.energy.2018.06.161
Xu, 2022, Towards low-carbon economy by carbon label?: survey evidence from first-tier cities in China, Environ. Impact Assess. Rev., 97, 10.1016/j.eiar.2022.106902
Zeng, 2021, Analysis and forecast of China’s energy consumption structure, Energy Policy, 159, 10.1016/j.enpol.2021.112630
Zhang, 2022, China’s energy transition pathway in a carbon neutral vision, Engineering, 14, 64, 10.1016/j.eng.2021.09.004
Zheng, 2021, Limiting global warming to below 1.5 °C from 2 °C: an energy-system-based multi-model analysis for China, Energy Econ., 100, 10.1016/j.eneco.2021.105355