The regulation path of coal consumption based on the total reduction index—a case study in Shandong Province, China
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DOI: 10.1016/j.energy.2022.125591
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- Liu, Lan-Cui & Cheng, Lei & Zhao, Lu-Tao & Cao, Ying & Wang, Ce, 2020. "Investigating the significant variation of coal consumption in China in 2002-2017," Energy, Elsevier, vol. 207(C).
- Zhang, Hongli & Shen, Lei & Zhong, Shuai & Elshkaki, Ayman, 2020. "Coal resource and industrial structure nexus in energy-rich area: The case of the contiguous area of Shanxi and Shaanxi Provinces, and Inner Mongolia Autonomous Region of China," Resources Policy, Elsevier, vol. 66(C).
- Wang, Qiang & Song, Xiaoxin, 2021. "Why do China and India burn 60% of the world’s coal? A decomposition analysis from a global perspective," Energy, Elsevier, vol. 227(C).
- Zhang, Meng & Guo, Huan & Sun, Ming & Liu, Sifeng & Forrest, Jeffrey, 2022. "A novel flexible grey multivariable model and its application in forecasting energy consumption in China," Energy, Elsevier, vol. 239(PE).
- Wang, Qiang & Li, Shuyu & Li, Rongrong, 2018. "Forecasting energy demand in China and India: Using single-linear, hybrid-linear, and non-linear time series forecast techniques," Energy, Elsevier, vol. 161(C), pages 821-831.
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Keywords
Coal consumption; Reduction index; Reverse force; Scenario combination analysis; Pathways regulation;All these keywords.
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