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Energy and emissions forecast of China over a long-time horizon

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  1. Tehreem Fatima & Enjun Xia & Muhammad Ahad, 2019. "Oil demand forecasting for China: a fresh evidence from structural time series analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 21(3), pages 1205-1224, June.
  2. Loo, Becky P.Y. & Li, Linna, 2012. "Carbon dioxide emissions from passenger transport in China since 1949: Implications for developing sustainable transport," Energy Policy, Elsevier, vol. 50(C), pages 464-476.
  3. Rauf, Abdul & Zhang, Jin & Li, Jinkai & Amin, Waqas, 2018. "Structural changes, energy consumption and carbon emissions in China: Empirical evidence from ARDL bound testing model," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 194-206.
  4. Shanyong Wang & Jin Fan & Dingtao Zhao & Shu Yang & Yuanguang Fu, 2016. "Predicting consumers’ intention to adopt hybrid electric vehicles: using an extended version of the theory of planned behavior model," Transportation, Springer, vol. 43(1), pages 123-143, January.
  5. Yu Zou & Shanshan Wang & Takeshi Mizunoya & Helmut Yabar & Yoshiro Higano, 2014. "Research on Environmental Tax with Emphasis on Developing Renewable Energy in Beijing, China," Journal of Sustainable Development, Canadian Center of Science and Education, vol. 7(2), pages 1-78, February.
  6. Li, Xi & Yu, Biying, 2019. "Peaking CO2 emissions for China's urban passenger transport sector," Energy Policy, Elsevier, vol. 133(C).
  7. Adom, Philip Kofi & Bekoe, William, 2012. "Conditional dynamic forecast of electrical energy consumption requirements in Ghana by 2020: A comparison of ARDL and PAM," Energy, Elsevier, vol. 44(1), pages 367-380.
  8. Shao, Zhen & Gao, Fei & Zhang, Qiang & Yang, Shan-Lin, 2015. "Multivariate statistical and similarity measure based semiparametric modeling of the probability distribution: A novel approach to the case study of mid-long term electricity consumption forecasting i," Applied Energy, Elsevier, vol. 156(C), pages 502-518.
  9. Rosenberg, Eva & Lind, Arne & Espegren, Kari Aamodt, 2013. "The impact of future energy demand on renewable energy production – Case of Norway," Energy, Elsevier, vol. 61(C), pages 419-431.
  10. Xu, Zhe & Meng, Lu & He, Dan & Shi, Xiaoliang & Chen, Ke, 2022. "Government Support's signaling effect on credit financing for new-energy enterprises," Energy Policy, Elsevier, vol. 164(C).
  11. Yuan, Jiahai & Xu, Yan & Hu, Zhaoguang, 2012. "Delivering power system transition in China," Energy Policy, Elsevier, vol. 50(C), pages 751-772.
  12. Behrang, M.A. & Assareh, E. & Ghalambaz, M. & Assari, M.R. & Noghrehabadi, A.R., 2011. "Forecasting future oil demand in Iran using GSA (Gravitational Search Algorithm)," Energy, Elsevier, vol. 36(9), pages 5649-5654.
  13. Junguo Shi & Hubert Visas & Jabbar Ul-Haq & Shujaat Abbas & Sana Khanum, 2023. "Investigating the impact of export product diversification on environmental degradation: evidence from Chinese Provinces," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(10), pages 11455-11486, October.
  14. Reza Hafezi & Amir Naser Akhavan & Mazdak Zamani & Saeed Pakseresht & Shahaboddin Shamshirband, 2019. "Developing a Data Mining Based Model to Extract Predictor Factors in Energy Systems: Application of Global Natural Gas Demand," Energies, MDPI, vol. 12(21), pages 1-22, October.
  15. Blanco, Herib & Nijs, Wouter & Ruf, Johannes & Faaij, André, 2018. "Potential for hydrogen and Power-to-Liquid in a low-carbon EU energy system using cost optimization," Applied Energy, Elsevier, vol. 232(C), pages 617-639.
  16. Suganthi, L. & Samuel, Anand A., 2012. "Energy models for demand forecasting—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(2), pages 1223-1240.
  17. Čuček, Lidija & Varbanov, Petar Sabev & Klemeš, Jiří Jaromír & Kravanja, Zdravko, 2012. "Total footprints-based multi-criteria optimisation of regional biomass energy supply chains," Energy, Elsevier, vol. 44(1), pages 135-145.
  18. Cao, Wensheng & Bluth, Christoph, 2013. "Challenges and countermeasures of China’s energy security," Energy Policy, Elsevier, vol. 53(C), pages 381-388.
  19. Zheng, Cunchuan & Liu, Fuchuan & Zhang, Tailiang & Huang, Zhiyu, 2021. "Preparation of fluoropolymer nanoparticles(FPNPs) dispersion and its application as a wetting adjustment agent for sandstone rocks," Energy, Elsevier, vol. 237(C).
  20. Li, Danny H.W. & Yang, Liu & Lam, Joseph C., 2013. "Zero energy buildings and sustainable development implications – A review," Energy, Elsevier, vol. 54(C), pages 1-10.
  21. Hong Chang & Wei Sun & Xingsheng Gu, 2013. "Forecasting Energy CO 2 Emissions Using a Quantum Harmony Search Algorithm-Based DMSFE Combination Model," Energies, MDPI, vol. 6(3), pages 1-22, March.
  22. Mondal, Md Alam Hossain & Rosegrant, Mark & Ringler, Claudia & Pradesha, Angga & Valmonte-Santos, Rowena, 2018. "The Philippines energy future and low-carbon development strategies," Energy, Elsevier, vol. 147(C), pages 142-154.
  23. Zhang, Yurong & Wang, Yuanfeng, 2013. "Barriers' and policies' analysis of China's building energy efficiency," Energy Policy, Elsevier, vol. 62(C), pages 768-773.
  24. Meng, Ming & Niu, Dongxiao, 2011. "Modeling CO2 emissions from fossil fuel combustion using the logistic equation," Energy, Elsevier, vol. 36(5), pages 3355-3359.
  25. Zhang, Moyi & Huang, Xian-Jin, 2012. "Effects of industrial restructuring on carbon reduction: An analysis of Jiangsu Province, China," Energy, Elsevier, vol. 44(1), pages 515-526.
  26. Niu, Shuwen & Liu, Yiyue & Ding, Yongxia & Qu, Wei, 2016. "China׳s energy systems transformation and emissions peak," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 782-795.
  27. Geng, Jiang-Bo & Ji, Qiang, 2014. "Multi-perspective analysis of China's energy supply security," Energy, Elsevier, vol. 64(C), pages 541-550.
  28. Zhaohua Wang & Chen Wang & Jianhua Yin, 2015. "Strategies for addressing climate change on the industrial level: affecting factors to CO 2 emissions of energy-intensive industries in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(2), pages 303-317, February.
  29. Mondal, Md Alam Hossain & Ringler, Claudia, 2020. "Long-term optimization of regional power sector development: Potential for cooperation in the Eastern Nile region?," Energy, Elsevier, vol. 201(C).
  30. Shanyong Wang & Jin Fan & Dingtao Zhao & Shu Yang & Yuanguang Fu, 2016. "Predicting consumers’ intention to adopt hybrid electric vehicles: using an extended version of the theory of planned behavior model," Transportation, Springer, vol. 43(1), pages 123-143, January.
  31. Menten, Fabio & Tchung-Ming, Stéphane & Lorne, Daphné & Bouvart, Frédérique, 2015. "Lessons from the use of a long-term energy model for consequential life cycle assessment: The BTL case," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 942-960.
  32. Fan, Jin & Wang, Shanyong & Wu, Yanrui & Li, Jun & Zhao, Dingtao, 2015. "Buffer effect and price effect of a personal carbon trading scheme," Energy, Elsevier, vol. 82(C), pages 601-610.
  33. Yuan, Jiahai & Xu, Yan & Hu, Zhen & Yu, Zhongfu & Liu, Jiangyan & Hu, Zhaoguang & Xu, Ming, 2012. "Managing electric power system transition in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(8), pages 5660-5677.
  34. Wenxiu Wang & Yaoqiu Kuang & Ningsheng Huang, 2011. "Study on the Decomposition of Factors Affecting Energy-Related Carbon Emissions in Guangdong Province, China," Energies, MDPI, vol. 4(12), pages 1-24, December.
  35. Chandran Govindaraju, V.G.R. & Tang, Chor Foon, 2013. "The dynamic links between CO2 emissions, economic growth and coal consumption in China and India," Applied Energy, Elsevier, vol. 104(C), pages 310-318.
  36. Fan, Ying & Xia, Yan, 2012. "Exploring energy consumption and demand in China," Energy, Elsevier, vol. 40(1), pages 23-30.
  37. Fang, Yiping & Deng, Wei, 2011. "The critical scale and section management of cascade hydropower exploitation in Southwestern China," Energy, Elsevier, vol. 36(10), pages 5944-5953.
  38. Mondal, Md. Alam Hossain & Ringler, Claudia & Al-Riffai, Perrihan & Eldidi, Hagar & Breisinger, Clemens & Wiebelt, Manfred, 2019. "Long-term optimization of Egypt’s power sector: Policy implications," Energy, Elsevier, vol. 166(C), pages 1063-1073.
  39. Liu, Zhijian & Liu, Yuanwei & He, Bao-Jie & Xu, Wei & Jin, Guangya & Zhang, Xutao, 2019. "Application and suitability analysis of the key technologies in nearly zero energy buildings in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 101(C), pages 329-345.
  40. Chen, Hua-Qi & Wang, Xiuping & He, Li & Chen, Ping & Wan, Yuehua & Yang, Lingyun & Jiang, Shuian, 2016. "Chinese energy and fuels research priorities and trend: A bibliometric analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 966-975.
  41. Yue, Ting & Long, Ruyin & Chen, Hong & Zhao, Xin, 2013. "The optimal CO2 emissions reduction path in Jiangsu province: An expanded IPAT approach," Applied Energy, Elsevier, vol. 112(C), pages 1510-1517.
  42. Yuan, Jiahai & Xu, Yan & Hu, Zheng & Zhao, Changhong & Xiong, Minpeng & Guo, Jingsheng, 2014. "Peak energy consumption and CO2 emissions in China," Energy Policy, Elsevier, vol. 68(C), pages 508-523.
  43. Blanco, Herib & Gómez Vilchez, Jonatan J. & Nijs, Wouter & Thiel, Christian & Faaij, André, 2019. "Soft-linking of a behavioral model for transport with energy system cost optimization applied to hydrogen in EU," Renewable and Sustainable Energy Reviews, Elsevier, vol. 115(C).
  44. Gerbelová, Hana & Amorim, Filipa & Pina, André & Melo, Mário & Ioakimidis, Christos & Ferrão, Paulo, 2014. "Potential of CO2 (carbon dioxide) taxes as a policy measure towards low-carbon Portuguese electricity sector by 2050," Energy, Elsevier, vol. 69(C), pages 113-119.
  45. Badurally Adam, N.R. & Elahee, M.K. & Dauhoo, M.Z., 2011. "Forecasting of peak electricity demand in Mauritius using the non-homogeneous Gompertz diffusion process," Energy, Elsevier, vol. 36(12), pages 6763-6769.
  46. Sampaio, Henrique César & Dias, Rubens Alves & Balestieri, José Antônio Perrella, 2013. "Sustainable urban energy planning: The case study of a tropical city," Applied Energy, Elsevier, vol. 104(C), pages 924-935.
  47. Bismark Ameyaw & Li Yao, 2018. "Sectoral Energy Demand Forecasting under an Assumption-Free Data-Driven Technique," Sustainability, MDPI, vol. 10(7), pages 1-20, July.
  48. Pukšec, Tomislav & Mathiesen, Brian Vad & Novosel, Tomislav & Duić, Neven, 2014. "Assessing the impact of energy saving measures on the future energy demand and related GHG (greenhouse gas) emission reduction of Croatia," Energy, Elsevier, vol. 76(C), pages 198-209.
  49. Gholami, M. & Barbaresi, A. & Torreggiani, D. & Tassinari, P., 2020. "Upscaling of spatial energy planning, phases, methods, and techniques: A systematic review through meta-analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
  50. Wei, Ping & Cheng, Li-Hua & Zhang, Lin & Xu, Xin-Hua & Chen, Huan-lin & Gao, Cong-jie, 2014. "A review of membrane technology for bioethanol production," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 388-400.
  51. Xuan, Yanni & Yue, Qiang, 2016. "Forecast of steel demand and the availability of depreciated steel scrap in China," Resources, Conservation & Recycling, Elsevier, vol. 109(C), pages 1-12.
  52. Zhou, Nan & Price, Lynn & Yande, Dai & Creyts, Jon & Khanna, Nina & Fridley, David & Lu, Hongyou & Feng, Wei & Liu, Xu & Hasanbeigi, Ali & Tian, Zhiyu & Yang, Hongwei & Bai, Quan & Zhu, Yuezhong & Xio, 2019. "A roadmap for China to peak carbon dioxide emissions and achieve a 20% share of non-fossil fuels in primary energy by 2030," Applied Energy, Elsevier, vol. 239(C), pages 793-819.
  53. Qingqing Ji & Shiyu Zhang & Qiao Duan & Yuhan Gong & Yaowei Li & Xintong Xie & Jikang Bai & Chunli Huang & Xu Zhao, 2022. "Short- and Medium-Term Power Demand Forecasting with Multiple Factors Based on Multi-Model Fusion," Mathematics, MDPI, vol. 10(12), pages 1-30, June.
  54. Liang, Sai & Zhang, Tianzhu, 2011. "Interactions of energy technology development and new energy exploitation with water technology development in China," Energy, Elsevier, vol. 36(12), pages 6960-6966.
  55. Xi Zhang & Zheng Li & Linwei Ma & Chinhao Chong & Weidou Ni, 2019. "Forecasting the Energy Embodied in Construction Services Based on a Combination of Static and Dynamic Hybrid Input-Output Models," Energies, MDPI, vol. 12(2), pages 1-26, January.
  56. Li, Na & Zhang, Xiaoling & Shi, Minjun & Zhou, Shenglv, 2017. "The prospects of China’s long-term economic development and CO2 emissions under fossil fuel supply constraints," Resources, Conservation & Recycling, Elsevier, vol. 121(C), pages 11-22.
  57. Zhou, Sheng & Wang, Yu & Zhou, Yuyu & Clarke, Leon E. & Edmonds, James A., 2018. "Roles of wind and solar energy in China’s power sector: Implications of intermittency constraints," Applied Energy, Elsevier, vol. 213(C), pages 22-30.
  58. Jun-Lin Lin & Yiqing Zhang & Kunhuang Zhu & Binbin Chen & Feng Zhang, 2020. "Asymmetric Loss Functions for Contract Capacity Optimization," Energies, MDPI, vol. 13(12), pages 1-13, June.
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