253 related articles for article (PubMed ID: 36454795)
1. Analysis and prediction of the temporal and spatial evolution of carbon emissions in China's eight economic regions.
Yu Z; Zhang Y; Zhang J; Zhang W
PLoS One; 2022; 17(12):e0277906. PubMed ID: 36454795
[TBL] [Abstract][Full Text] [Related]
2. Research on carbon emission differences decomposition and spatial heterogeneity pattern of China's eight economic regions.
Zhang Y; Yu Z; Zhang J
Environ Sci Pollut Res Int; 2022 Apr; 29(20):29976-29992. PubMed ID: 34997485
[TBL] [Abstract][Full Text] [Related]
3. Spatial-temporal evolution and peak prediction of embodied carbon emissions in China's interregional trade.
Mo S; Wang T
Front Public Health; 2022; 10():1010521. PubMed ID: 36339160
[TBL] [Abstract][Full Text] [Related]
4. Analysis of carbon emission performance and regional differences in China's eight economic regions: Based on the super-efficiency SBM model and the Theil index.
Zhang Y; Yu Z; Zhang J
PLoS One; 2021; 16(5):e0250994. PubMed ID: 33951072
[TBL] [Abstract][Full Text] [Related]
5. Feasibility of peaking carbon emissions of the power sector in China's eight regions: decomposition, decoupling, and prediction analysis.
Wang Y; Su X; Qi L; Shang P; Xu Y
Environ Sci Pollut Res Int; 2019 Oct; 26(28):29212-29233. PubMed ID: 31396871
[TBL] [Abstract][Full Text] [Related]
6. Spatial Evolutionary Characteristics and Influencing Factors of Urban Industrial Carbon Emission in China.
Zhang X; Shen M; Luan Y; Cui W; Lin X
Int J Environ Res Public Health; 2022 Sep; 19(18):. PubMed ID: 36141499
[TBL] [Abstract][Full Text] [Related]
7. Impact of China's environmental decentralization on carbon emissions from energy consumption: an empirical study based on the dynamic spatial econometric model.
Liu X; Yang X
Environ Sci Pollut Res Int; 2022 Oct; 29(48):72140-72158. PubMed ID: 35353305
[TBL] [Abstract][Full Text] [Related]
8. Decoupling between Economic Development and Carbon Emissions and Its Driving Factors: Evidence from China.
Zhao X; Jiang M; Zhang W
Int J Environ Res Public Health; 2022 Mar; 19(5):. PubMed ID: 35270588
[TBL] [Abstract][Full Text] [Related]
9. Characteristics, decoupling effect, and driving factors of regional tourism's carbon emissions in China.
Xiong G; Deng J; Ding B
Environ Sci Pollut Res Int; 2022 Jul; 29(31):47082-47093. PubMed ID: 35175519
[TBL] [Abstract][Full Text] [Related]
10. Spatiotemporal evolution characteristics and dynamic efficiency decomposition of carbon emission efficiency in the Yellow River Basin.
Zhang Y; Yu Z; Zhang J
PLoS One; 2022; 17(3):e0264274. PubMed ID: 35324928
[TBL] [Abstract][Full Text] [Related]
11. Carbon emissions in the transportation sector of Yangtze River Economic Belt: decoupling drivers and inequality.
Zhang L; Chen D; Peng S; Pang Q; Li F
Environ Sci Pollut Res Int; 2020 Jun; 27(17):21098-21108. PubMed ID: 32266613
[TBL] [Abstract][Full Text] [Related]
12. Uncertainty quantification of CO
Yang L; Hu YJ; Wang H; Li C; Tang BJ; Wang B; Cui H
J Environ Manage; 2023 Jun; 336():117624. PubMed ID: 36868152
[TBL] [Abstract][Full Text] [Related]
13. Prediction of CO2 emissions in China by generalized regression neural network optimized with fruit fly optimization algorithm.
Yue H; Bu L
Environ Sci Pollut Res Int; 2023 Jul; 30(33):80676-80692. PubMed ID: 37301812
[TBL] [Abstract][Full Text] [Related]
14. Decomposition of China's regional carbon emission paths: an analysis of environmental input and output considering regional development differences.
Sun X; Ma X; Shi F; Han M; Xie H; He Y
Environ Sci Pollut Res Int; 2022 Sep; 29(41):62537-62559. PubMed ID: 35411515
[TBL] [Abstract][Full Text] [Related]
15. Spatio-temporal characteristics of the relationship between carbon emissions and economic growth in China's transportation industry.
Wang L; Fan J; Wang J; Zhao Y; Li Z; Guo R
Environ Sci Pollut Res Int; 2020 Sep; 27(26):32962-32979. PubMed ID: 32519108
[TBL] [Abstract][Full Text] [Related]
16. Weighing China's embodied CO2 emissions and value added under global value chains: Trends, characteristics, and paths.
Li Q; Wu S; Li S
J Environ Manage; 2022 Aug; 316():115302. PubMed ID: 35597213
[TBL] [Abstract][Full Text] [Related]
17. Prediction of direct carbon emissions of Chinese provinces using artificial neural networks.
Jin H
PLoS One; 2021; 16(5):e0236685. PubMed ID: 33983991
[TBL] [Abstract][Full Text] [Related]
18. Analysis of China's carbon emission driving factors based on the perspective of eight major economic regions.
Chen J; Lian X; Su H; Zhang Z; Ma X; Chang B
Environ Sci Pollut Res Int; 2021 Feb; 28(7):8181-8204. PubMed ID: 33052568
[TBL] [Abstract][Full Text] [Related]
19. A regional-scale decomposition of energy-related carbon emission and its decoupling from economic growth in China.
Wang J; Yang Y
Environ Sci Pollut Res Int; 2020 Jun; 27(17):20889-20903. PubMed ID: 32248423
[TBL] [Abstract][Full Text] [Related]
20. Spatiotemporal evolution trend and decoupling type identification of transport carbon emissions from economic development in China.
Cui Q; Zhou Z; Guan D; Zhou L; Huang K; Xue Y
Environ Sci Pollut Res Int; 2023 Nov; 30(51):111459-111480. PubMed ID: 37814052
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
