BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

274 related articles for article (PubMed ID: 36208377)

  • 1. Urban land use carbon emission intensity in China under the "double carbon" targets: spatiotemporal patterns and evolution trend.
    Ke N; Lu X; Zhang X; Kuang B; Zhang Y
    Environ Sci Pollut Res Int; 2023 Feb; 30(7):18213-18226. PubMed ID: 36208377
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Spatiotemporal Dynamic Evolution and Its Driving Mechanism of Carbon Emissions in Hunan Province in the Last 20 Years.
    Gu H; Liu Y; Xia H; Tan X; Zeng Y; Zhao X
    Int J Environ Res Public Health; 2023 Feb; 20(4):. PubMed ID: 36833754
    [TBL] [Abstract][Full Text] [Related]  

  • 4. [Spatiotemporal Dynamic Evolution and Gravity Center Migration of Carbon Emissions in the Main Urban Area of Chongqing over the Past 20 Years].
    Xiang SJ; Yang CM; Xie YQ; Wang D; Wang ZF; Gao M
    Huan Jing Ke Xue; 2023 Jan; 44(1):560-571. PubMed ID: 36635844
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Spatial-temporal dynamics of land use carbon emissions and drivers in 20 urban agglomerations in China from 1990 to 2019.
    Pu X; Cheng Q; Chen H
    Environ Sci Pollut Res Int; 2023 Oct; 30(49):107854-107877. PubMed ID: 37740809
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Spatial-temporal pattern and spatial convergence of carbon emission intensity of rural energy consumption in China.
    Xia W; Ma Y; Gao Y; Huo Y; Su X
    Environ Sci Pollut Res Int; 2024 Jan; 31(5):7751-7774. PubMed ID: 38170355
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Spatiotemporal characteristics and influencing factors of carbon emissions from civil buildings: Evidence from urban China.
    Wang J; Du G; Liu M
    PLoS One; 2022; 17(8):e0272295. PubMed ID: 35925953
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Spatiotemporal changes in efficiency and influencing factors of China's industrial carbon emissions.
    Yang G; Zhang F; Zhang F; Ma D; Gao L; Chen Y; Luo Y; Yang Q
    Environ Sci Pollut Res Int; 2021 Jul; 28(27):36288-36302. PubMed ID: 33751383
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Asymmetrically Spatial Effects of Urban Scale and Agglomeration on Haze Pollution in China.
    Fan Q; Yang S; Liu S
    Int J Environ Res Public Health; 2019 Dec; 16(24):. PubMed ID: 31817551
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Spatiotemporal association of carbon dioxide emissions in China's urban agglomerations.
    Qian Y; Wang H; Wu J
    J Environ Manage; 2022 Dec; 323():116109. PubMed ID: 36261957
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Regional Differences and Dynamic Evolution of Carbon Emission Intensity of Agriculture Production in China.
    Pang J; Li H; Lu C; Lu C; Chen X
    Int J Environ Res Public Health; 2020 Oct; 17(20):. PubMed ID: 33081313
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Quantitative assessment, spatial and temporal characteristics, and dynamic evolution of carbon emissions from animal husbandry in China: 2001-2020.
    Yan J; Zhang Y
    Environ Sci Pollut Res Int; 2023 Nov; 30(54):116186-116201. PubMed ID: 37910353
    [TBL] [Abstract][Full Text] [Related]  

  • 13. What Cause Large Spatiotemporal Differences in Carbon Intensity of Energy-Intensive Industries in China? Evidence from Provincial Data during 2000-2019.
    Xu X; Shen Y; Liu H
    Int J Environ Res Public Health; 2022 Aug; 19(16):. PubMed ID: 36011870
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Spatiotemporal pattern of regional carbon emissions and its influencing factors in the Yangtze River Delta urban agglomeration of China.
    Lv T; Hu H; Zhang X; Xie H; Fu S; Wang L
    Environ Monit Assess; 2022 Jun; 194(7):515. PubMed ID: 35731371
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Spatial Heterogeneity and Scale Effects of Transportation Carbon Emission-Influencing Factors-An Empirical Analysis Based on 286 Cities in China.
    Wang T; Zhang K; Liu K; Ding K; Qin W
    Int J Environ Res Public Health; 2023 Jan; 20(3):. PubMed ID: 36767675
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Spatial effects of carbon emission intensity and regional development in China.
    Wang Y; Zheng Y
    Environ Sci Pollut Res Int; 2021 Mar; 28(11):14131-14143. PubMed ID: 33210249
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Driving factors of spatial-temporal difference in China's transportation sector carbon productivity: an empirical analysis based on Geodetector method.
    Zhu C; Dong S; Sun Y; Wang M; Dong P; Xu L
    Environ Sci Pollut Res Int; 2023 Mar; 30(11):30656-30671. PubMed ID: 36437363
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Unveiling characteristics and determinants of China's wind power geographies towards low-carbon transition.
    Han M; Sun R; Feng P; Hua E
    J Environ Manage; 2023 Apr; 331():117215. PubMed ID: 36646038
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Carbon emissions performance trend across Chinese cities: evidence from efficiency and convergence evaluation.
    Tang K; Xiong C; Wang Y; Zhou D
    Environ Sci Pollut Res Int; 2021 Jan; 28(2):1533-1544. PubMed ID: 32844341
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Multi-scale variations and impact factors of carbon emission intensity in China.
    Liu XJ; Jin XB; Luo XL; Zhou YK
    Sci Total Environ; 2023 Jan; 857(Pt 1):159403. PubMed ID: 36243066
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.