218 related articles for article (PubMed ID: 37363006)
1. Estimating China's CO
Lei W; Mao S; Zhang Y
Environ Dev Sustain; 2023 May; ():1-32. PubMed ID: 37363006
[TBL] [Abstract][Full Text] [Related]
2. Assessing the possibility of China reaching carbon emission peak by 2030 in the context of the COVID-19 pandemic.
Chen T; Ren Y; Yang J; Cong G
Environ Sci Pollut Res Int; 2023 Nov; 30(52):111995-112018. PubMed ID: 37824049
[TBL] [Abstract][Full Text] [Related]
3. Forecasting fuel combustion-related CO
Xie W; Wu WZ; Liu C; Zhang T; Dong Z
Environ Sci Pollut Res Int; 2021 Jul; 28(28):38128-38144. PubMed ID: 33725301
[TBL] [Abstract][Full Text] [Related]
4. Modelling and forecasting non-renewable energy consumption and carbon dioxide emissions in China using a PSO algorithm-based fractional non-linear grey Bernoulli model.
Yang J; Wu Z
Environ Sci Pollut Res Int; 2023 Jun; 30(26):69651-69665. PubMed ID: 37142841
[TBL] [Abstract][Full Text] [Related]
5. China's carbon emissions peaking pathway in the post-COVID-19 era.
Liu D; Wang S; Zhao X; Wang J
Environ Sci Pollut Res Int; 2023 Sep; 30(45):100959-100978. PubMed ID: 37642908
[TBL] [Abstract][Full Text] [Related]
6. A novel fractional-order grey prediction model: a case study of Chinese carbon emissions.
Li H; Wu Z; Qian S; Duan H
Environ Sci Pollut Res Int; 2023 Nov; 30(51):110377-110394. PubMed ID: 37783995
[TBL] [Abstract][Full Text] [Related]
7. How will the greening policy contribute to China's greenhouse gas emission mitigation? A non-parametric forecast.
Wang M; Feng C
Environ Res; 2021 Apr; 195():110779. PubMed ID: 33516687
[TBL] [Abstract][Full Text] [Related]
8. Determinants investigation and peak prediction of CO
Wang W; Wang J
Environ Sci Pollut Res Int; 2021 Oct; 28(39):55535-55553. PubMed ID: 34138431
[TBL] [Abstract][Full Text] [Related]
9. China's cement demand and CO
Wei J; Cen K; Geng Y
Environ Sci Pollut Res Int; 2019 Mar; 26(7):6409-6423. PubMed ID: 30623329
[TBL] [Abstract][Full Text] [Related]
10. Prediction of carbon emissions in China's construction industry using an improved grey prediction model.
Liu JB; Yuan XY; Lee CC
Sci Total Environ; 2024 Aug; 938():173351. PubMed ID: 38788944
[TBL] [Abstract][Full Text] [Related]
11. A novel grey Verhulst model with four parameters and its application to forecast the carbon dioxide emissions in China.
Zeng B; Zheng T; Yang Y; Wang J
Sci Total Environ; 2023 Nov; 899():165648. PubMed ID: 37482363
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. China's provincial CO
Li Q; Wu S; Lei Y; Li S; Li L
Environ Sci Pollut Res Int; 2019 Jan; 26(1):312-325. PubMed ID: 30397751
[TBL] [Abstract][Full Text] [Related]
14. CO
Zou X; Li J; Zhang Q
Environ Sci Pollut Res Int; 2023 Mar; 30(11):31332-31347. PubMed ID: 36447106
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Research on the impact of COVID-19 on the spatiotemporal distribution of carbon dioxide emissions in China.
Guo L; Bai L; Liu Y; Yang Y; Guo X
Heliyon; 2023 Mar; 9(3):e13963. PubMed ID: 36855647
[TBL] [Abstract][Full Text] [Related]
17. Analysis of the impact path on factors of China's energy-related CO
Chen W; Lei Y
Environ Sci Pollut Res Int; 2017 Feb; 24(6):5757-5772. PubMed ID: 28050762
[TBL] [Abstract][Full Text] [Related]
18. An MPA-based optimized grey Bernoulli model for China's petroleum consumption forecasting.
Wu WZ; Hu Z; Qi Q; Zhang T
Complex Intell Systems; 2023; 9(1):329-343. PubMed ID: 35791350
[TBL] [Abstract][Full Text] [Related]
19. Study on the extension of the dynamic benchmark system of per capita carbon emissions in China's county.
Yang F; Shi L; Wang X; Gao L
Environ Sci Pollut Res Int; 2023 Jan; 30(4):10256-10271. PubMed ID: 36070041
[TBL] [Abstract][Full Text] [Related]
20. Research on the relationship between China's greenhouse gas emissions and industrial structure and economic growth from the perspective of energy consumption.
Zhang Z; Ma X; Lian X; Guo Y; Song Y; Chang B; Luo L
Environ Sci Pollut Res Int; 2020 Nov; 27(33):41839-41855. PubMed ID: 32700267
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]