BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

255 related articles for article (PubMed ID: 37848783)

  • 1. Study on the spatial correlation effects and influencing factors of carbon emissions from the electricity industry: a fresh evidence from China.
    Bai M; Li C
    Environ Sci Pollut Res Int; 2023 Nov; 30(53):113364-113381. PubMed ID: 37848783
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Regional decomposition analysis of electric carbon productivity from the perspective of production and consumption in China.
    Chen G; Hou F; Chang K
    Environ Sci Pollut Res Int; 2018 Jan; 25(2):1508-1518. PubMed ID: 29098575
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Spatiotemporal dynamic differences of energy-related CO
    Yang B; Bai Z; Wang J
    Environ Sci Pollut Res Int; 2022 Apr; 29(17):24737-24756. PubMed ID: 34826069
    [TBL] [Abstract][Full Text] [Related]  

  • 4. China's carbon emissions from the electricity sector: Spatial characteristics and interregional transfer.
    Fan F; Wang Y; Liu Q
    Integr Environ Assess Manag; 2022 Jan; 18(1):258-273. PubMed ID: 34009674
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Decomposition and decoupling research of Chinese power sector carbon emissions through the consumption accounting principle.
    Chang K; Chen G; Du Z; Hou F; Li J; Chen F
    Environ Sci Pollut Res Int; 2022 Feb; 29(6):9080-9096. PubMed ID: 34498191
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. 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]  

  • 9. Decomposition analysis of energy-related CO
    Fatima T; Xia E; Cao Z; Khan D; Fan JL
    Environ Sci Pollut Res Int; 2019 Jul; 26(21):21736-21749. PubMed ID: 31134541
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Regional differences and driving factors of carbon emission intensity in China's electricity generation sector.
    Sun X; Lian W; Wang B; Gao T; Duan H
    Environ Sci Pollut Res Int; 2023 Jun; 30(26):68998-69023. PubMed ID: 37127742
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Identifying the driving forces of CO
    Zhang K; Liu X; Yao J
    Environ Sci Pollut Res Int; 2019 Jun; 26(17):17383-17406. PubMed ID: 31020522
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Influencing Factors of CO
    Liu Q; Mao C; Tian F
    Comput Intell Neurosci; 2022; 2022():3615492. PubMed ID: 35571686
    [TBL] [Abstract][Full Text] [Related]  

  • 13. The influence factors of interprovincial power transmission on China's CO
    Li W; Xu L; Jin Y
    Sci Prog; 2022; 105(4):368504221137466. PubMed ID: 36380702
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Probing the affecting factors and decoupling analysis of energy industrial carbon emissions in Liaoning, China.
    Wen L; Zhang Z
    Environ Sci Pollut Res Int; 2019 May; 26(14):14616-14626. PubMed ID: 30877535
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Spatial and temporal characteristics of coal consumption and carbon emissions in China.
    Kao X; Wang W; Zhu X; Zhang J
    Environ Sci Pollut Res Int; 2023 Oct; 30(48):105770-105780. PubMed ID: 37715908
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Spatial Heterogeneity of Carbon Emissions and Its Influencing Factors in China: Evidence from 286 Prefecture-Level Cities.
    Li C; Li H; Qin X
    Int J Environ Res Public Health; 2022 Jan; 19(3):. PubMed ID: 35162249
    [TBL] [Abstract][Full Text] [Related]  

  • 18. [Decomposition of driving factors of industry-related CO
    Lai WT; Wang Y; Huang LL; Huang YM; Luo J; Chen HY
    Ying Yong Sheng Tai Xue Bao; 2020 Oct; 31(10):3529-3538. PubMed ID: 33314843
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Structural factors influencing energy carbon emissions in China's service industry: an input-output perspective.
    Yu J; Yu Y; Jiang T
    Environ Sci Pollut Res Int; 2022 Jul; 29(32):49361-49372. PubMed ID: 35218481
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Driving factors of NOX emission reduction in China's power industry: based on LMDI decomposition model.
    Guo S; Liu G; Liu S
    Environ Sci Pollut Res Int; 2023 Apr; 30(17):51042-51060. PubMed ID: 36807855
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.