Research Progress on Spatial-temporal Feature of Carbon Emission and Carbon Emission Reduction Paths in China

Lele Du ； Gaoyue Zhang ； Xiaoming Chuai

《World Scientific Research Journal》 8卷9期 (2022/09) Pp. 597-603

https://doi.org/10.6911/WSRJ.202209_8(9).0075

摘要

Low carbon economy has become the consensus of all countries in the world. As the largest carbon emitter in the world, China has committed to achieving carbon peak by 2030 and carbon neutrality by 2060, which is of great significance to achieving the goal of zero carbon economy, building a carbon neutral green economic development system and promoting high‐quality economic development. This paper systematically summarizes the prediction of carbon peak and the space‐time characteristics of carbon emissions in China, and combs the carbon emission reduction paths proposed by the current academic community, providing a useful reference for the study of carbon emissions in China.

關鍵字

Carbon emissions ； Carbon peak ； Spatial‐temporal feature ； Carbon emission reduction paths

參考文獻

Cheng Li, Shuhui Yang, Fang Wu, et al. Spatial and temporal variation of carbon emissions from energy consumption and carbon sequestration by vegetation in China based on multi-source data under the background of "double carbon" [J/OL]. China Environmental Science: 1-10[2022-01-23].

Fan Zhang, Ning Xu and Feng Wu. Research on China′s CO;emissions projections from 2020 to 2100 under the shared socioeconomic pathways [J]. Acta Ecologica Sinica, 2021, 41(24): 9691-9704.

G. Y. Xu , P. Schwarz and H. L. Yang. Determining China's CO2 emissions peak with a dynamic nonlinear artificial neural network approach and scenario analysis [J]. Energy Policy, 2019, 128: 752-762.

H. Chen, S. Z. Qi and X. J. Tan. Decomposition and prediction of China's carbon emission intensity towards carbon neutrality: From perspectives of national, regional and sectoral level [J]. Science of The Total Environment, 2022, 825: 153839.

Rui Wang, He Zhang, Wenli Qiang, et al. Spatial characteristics and influencing factors of carbon emissions in county-level cities of China based on urbanization [J]. Progress in Geography, 2021, 40(12): 1999-2010.