To what extent can clean energy development advance the carbon peaking process of China?

The spatial spillover effects of clean energy consumption and production on sustainable economic development in China

“…One interpretation refers to energy sources other than coal, oil, natural gas, and thermal power, including hydropower, nuclear power, solar power, wind power, and biomass [ 32 , 33 ]. Shi et al [ 34 ], in their assessment of clean energy generation in China's provinces and municipalities, define it as the sum of four types of power generation: solar power, wind power, hydroelectricity, and nuclear power. Some definitions equate clean energy with renewable energy, encompassing all recyclable energy sources [ 35 ].…”

Forecasting Chinese carbon emission intensity based on the interactive effect GM(1,N) power model

“…However, carbon emissions are a complex system, influenced not only by past information but also by the nonlinearity of other factors. Different from GM(1,1) and grey exponential smoothing models, GM(1,N) model, which combines multiple related factors to predict the system feature sequences, is very suitable for solving the prediction problem of complex systems with multiple influencing factors (Ofosu-Adarkwa et al, 2020;Yu et al, 2023). Dang et al (2023) introduced the power exponent term and the dynamic sine function into the traditional multivariable gray model to realize the nonlinear relationship between the variables and the simulation of periodic oscillation.…”

“…In the forecasting of carbon emissions, GM(1,N) model can predict the comprehensive impact of carbon emissions by combining multi-factor analysis, so they are widely used in carbon emission prediction (Ding et al, 2020;Jiang et al, 2021). Yu et al (2023) proposed combining the spatial econometric panel model and GM (1,N) to explore the development of clean energy, the spatial characteristics of carbon emissions, the process of carbon peaking, and the association between them. Ofosu-Adarkwa et al (2020) proposed V-GM(1,N), which accurately combined the actual CO 2 emission data of the cement industry from 2005 to 2018 with 97.29%, and studied the future development of CO 2 emissions of China's cement industry with different driving factors.…”

Ni–Co–Mn complexed 3,4,9,10-perylenetetracarboxylic acid complexes as novel organic electrode materials for lithium-ion batteries

“…With the implementation and promotion of policies such as "carbon peak" and "carbon neutrality", traditional fossil energy will gradually be replaced by clean energy, thus reducing carbon dioxide emissions. 1,2 However, due to the regional nature, inconsistency and other factors, it is difficult to make full use of energy, such as wind energy, solar energy, and tidal energy. Since then, the field of energy storage devices has been gradually attracting the attention of researchers.…”