Ang, B.W. Decomposition analysis for policymaking in energy: which is the preferred method?. 2004 Energy Pol. 32 1131-1139
- Bernstein, L. ; Bosch, P. ; Canziani, O. ; Chen, Z. ; Christ, R. ; Riahi, K. IPCC, 2007: climate change 2007: synthesis report. 2008 IPCC. -
Paper not yet in RePEc: Add citation now
Cui, H. ; Wu, R. ; Zhao, T. Decomposition and forecasting of CO2 emissions in China's power sector based on STIRPAT model with selected PLS model and a novel hybrid PLS-grey-markov model. 2018 Energies. 11 -
- Dietz, T. ; Rosa, E.A.J. Rethinking the environmental impacts of population, affluence and technology. 1994 . 1 277-300
Paper not yet in RePEc: Add citation now
- Dong, C. ; Dong, X. ; Jiang, Q. ; Dong, K. ; Liu, G. What is the probability of achieving the carbon dioxide emission targets of the Paris Agreement? Evidence from the top ten emitters. 2018 Sci Total Environ. 622 1294-1303
Paper not yet in RePEc: Add citation now
- Dong, J. ; Zong, M. ; Chen, J. A method to predict the carbon emissions of civil aviation based on STIRPAT model. 2014 Environment Engineering. 32 165-169
Paper not yet in RePEc: Add citation now
Fang, K. ; Tang, Y. ; Zhang, Q. ; Song, J. ; Wen, Q. ; Sun, H. Will China peak its energy-related carbon emissions by 2030? Lessons from 30 Chinese provinces. 2019 Appl Energy. 255 -
Fang, K. ; Zhang, Q. ; Long, Y. ; Yoshida, Y. ; Sun, L. ; Zhang, H. How can China achieve its Intended Nationally Determined Contributions by 2030? A multi-criteria allocation of China's carbon emission allowance. 2019 Appl Energy. 241 380-389
- Fatima, T. ; Xia, E. ; Cao, Z. ; Khan, D. ; Fan, J.-L. Decomposition analysis of energy-related CO2 emission in the industrial sector of China: evidence from the LMDI approach. 2019 Environ Sci Pollut Control Ser. 26 21736-21749
Paper not yet in RePEc: Add citation now
- Guan, Y. ; Shan, Y. ; Huang, Q. ; Chen, H. ; Wang, D. ; Hubacek, K. Assessment to China's recent emission pattern shifts. 2021 Earth's Future. 9 -
Paper not yet in RePEc: Add citation now
Herrerias, M.J. ; Joyeux, R. ; Girardin, E. Short- and long-run causality between energy consumption and economic growth: evidence across regions in China. 2013 Appl Energy. 112 1483-1492
Hong, T. ; Jeong, K. ; Koo, C. An optimized gene expression programming model for forecasting the national CO2 emissions in 2030 using the metaheuristic algorithms. 2018 Appl Energy. 228 808-820
- Huang, Y. ; Dai, X. ; Wang, Q. ; Zhou, D. A hybrid model for carbon price forecasting using GARCH and long short-term memory network. 2021 Appl Energy. 285 -
Paper not yet in RePEc: Add citation now
Jia, J. ; Deng, H. ; Duan, J. ; Zhao, J. Analysis of the major drivers of the ecological footprint using the STIRPAT model and the PLS method-A case study in Henan Province, China. 2009 Ecol Econ. 68 2818-2824
Jiang, J. ; Ye, B. ; Liu, J. Research on the peak of CO2 emissions in the developing world: current progress and future prospect. 2019 Appl Energy. 235 186-203
- Kaya, Y. Impact of carbon dioxide emission on GNP growth: interpretation of proposed scenarios. 1989 Response Strategies Working Group, IPCC:
Paper not yet in RePEc: Add citation now
Lin, B. ; Long, H. Emissions reduction in China's chemical industry - based on LMDI. 2016 Renewable Sustainable Energy Rev. 53 1348-1355
- Lin, X. ; Zhu, X. ; Feng, M. ; Han, Y. ; Geng, Z. Economy and carbon emissions optimization of different countries or areas in the world using an improved Attention mechanism based long short term memory neural network. 2021 Sci Total Environ. 792 -
Paper not yet in RePEc: Add citation now
- Liu, J-p ; Zhang, X-b ; Song, X-h Regional carbon emission evolution mechanism and its prediction approach driven by carbon trading - a case study of Beijing. 2018 J Clean Prod. 172 2793-2810
Paper not yet in RePEc: Add citation now
Liu, L.-C. ; Fan, Y. ; Wu, G. ; Wei, Y.-M. Using LMDI method to analyzed the change of China's industrial CO2 emissions from final fuel use: an empirical analysis. 2007 Energy Pol. 35 5892-5900
- Oreggioni, G.D. ; Ferraio, F.M. ; Crippa, M. ; Muntean, M. ; Schaaf, E. ; Guizzardi, D. Climate change in a changing world: socio-economic and technological transitions, regulatory frameworks and trends on global greenhouse gas emissions from EDGAR. 2021 . 5 -
Paper not yet in RePEc: Add citation now
Pao, H.-T. ; Tsai, C.-M. Modeling and forecasting the CO2 emissions, energy consumption, and economic growth in Brazil. 2011 Energy. 36 2450-2458
Peng, L. ; Liu, S. ; Liu, R. ; Wang, L. Effective long short-term memory with differential evolution algorithm for electricity price prediction. 2018 Energy. 162 1301-1314
- Pörtner, H.-O. ; Scholes, R.J. ; Agard, J. ; Archer, E. ; Arneth, A. ; Bai, X. . 2021 :
Paper not yet in RePEc: Add citation now
- Qu, S. ; Guo, C. Forecast of China's carbon emissions based on STIRPAT model. 2010 China Population·Resources and Environment. 20 10-15
Paper not yet in RePEc: Add citation now
- Ren, F. ; Long, D. Carbon emission forecasting and scenario analysis in Guangdong Province based on optimized Fast Learning Network. 2021 J Clean Prod. 317 -
Paper not yet in RePEc: Add citation now
Samset, B.H. ; Fuglestvedt, J.S. ; Lund, M.T.J.N.C. Delayed emergence of a global temperature response after emission mitigation. 2020 . 11 3261-
- Shan, Y. ; Guan, D. ; Zheng, H. ; Ou, J. ; Li, Y. ; Meng, J. . 2018 Scientific Data:
Paper not yet in RePEc: Add citation now
- Shan, Y. ; Huang, Q. ; Guan, D. ; Hubacek, K. China CO2 emission accounts 2016-2017. 2020 Sci Data. 7 -
Paper not yet in RePEc: Add citation now
Shan, Y. ; Liu, J. ; Liu, Z. ; Xu, X. ; Shao, S. ; Wang, P. New provincial CO2 emission inventories in China based on apparent energy consumption data and updated emission factors. 2016 Appl Energy. 184 742-750
Shi, C. ; Zhi, J. ; Yao, X. ; Zhang, H. ; Yu, Y. ; Zeng, Q. How can China achieve the 2030 carbon peak goal-a crossover analysis based on low-carbon economics and deep learning. 2023 Energy. 269 -
Singh, M.K. ; Mukherjee, D. Drivers of greenhouse gas emissions in the United States: revisiting STIRPAT model. 2019 Environ Dev Sustain. 21 3015-3031
Song, M. ; Wang, S. ; Yu, H. ; Yang, L. ; Wu, J. To reduce energy consumption and to maintain rapid economic growth: analysis of the condition in China based on expended IPAT model. 2011 Renewable Sustainable Energy Rev. 15 5129-5134
- Sun, W. ; Liu, M. Prediction and analysis of the three major industries and residential consumption CO2 emissions based on least squares support vector machine in China. 2016 J Clean Prod. 122 144-153
Paper not yet in RePEc: Add citation now
- Thai-Ha, L. Drivers of greenhouse gas emissions in ASEAN+6 countries: a new look. 2021 Environ Dev Sustain. 23 18096-18115
Paper not yet in RePEc: Add citation now
- Tian, S. ; Xu, Y. ; Wang, Q. ; Zhang, Y. ; Yuan, X. ; Ma, Q. Research on peak prediction of urban differentiated carbon emissions -- a case study of Shandong Province, China. 2022 J Clean Prod. 374 -
Paper not yet in RePEc: Add citation now
Wang, P. ; Wu, W. ; Zhu, B. ; Wei, Y. Examining the impact factors of energy-related CO2 emissions using the STIRPAT model in Guangdong Province, China. 2013 Appl Energy. 106 65-71
- Wang, S. ; Wang, J. ; Li, S. ; Fang, C. ; Feng, K. Socioeconomic driving forces and scenario simulation of CO2 emissions for a fast-developing region in China. 2019 J Clean Prod. 216 217-229
Paper not yet in RePEc: Add citation now
Wang, Z. ; Huang, W. ; Chen, Z. The peak of CO2 emissions in China: a new approach using survival models. 2019 Energy Econ. 81 1099-1108
- Wen, L. ; Shao, H. Analysis of influencing factors of the carbon dioxide emissions in China's commercial department based on the STIRPAT model and ridge regression. 2019 Environ Sci Pollut Control Ser. 26 27138-27147
Paper not yet in RePEc: Add citation now
- Wu, C.B. ; Huang, G.H. ; Xin, B.G. ; Chen, J.K. Scenario analysis of carbon emissions' anti-driving effect on Qingdao's energy structure adjustment with an optimization model, Part I: carbon emissions peak value prediction. 2018 J Clean Prod. 172 466-474
Paper not yet in RePEc: Add citation now
- Xiao, S. ; Huang, X. ; Wu, C. A study on ecological footprint time series and its drivers of Jiangsu province:using the STIRPAT model and the PLS method. 2012 Geogr Geo-Inf Sci. 28 76-82
Paper not yet in RePEc: Add citation now
Xie, C. ; Hawkes, A.D. Estimation of inter-fuel substitution possibilities in China's transport industry using ridge regression. 2015 Energy. 88 260-267
- Xie, P. ; Liao, J. ; Pan, X. ; Sun, F. Will China's carbon intensity achieve its policy goals by 2030? Dynamic scenario analysis based on STIRPAT- PLS framework. 2022 Sci Total Environ. 832 -
Paper not yet in RePEc: Add citation now
Xu, G. ; Schwarz, P. ; Yang, H. Determining China's CO2 emissions peak with a dynamic nonlinear artificial neural network approach and scenario analysis. 2019 Energy Pol. 128 752-762
- Zhao, H. ; Hu, J. ; Hao, F. ; Zhang, H. Determinants of carbon dioxide emissions and their peaking prospect: evidence from China. 2022 Front Environ Sci. 10 -
Paper not yet in RePEc: Add citation now
- Zhao, L. ; Zhao, T. ; Yuan, R. Scenario simulations for the peak of provincial household CO2 emissions in China based on the STIRPAT model. 2022 Sci Total Environ. 809 -
Paper not yet in RePEc: Add citation now
Zhou, F. ; Huang, Z. ; Zhang, C. Carbon price forecasting based on CEEMDAN and LSTM. 2022 Appl Energy. 311-