BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

637 related articles for article (PubMed ID: 33210249)

  • 1. 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]  

  • 2. 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]  

  • 3. 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]  

  • 4. Can industrial collaborative agglomeration reduce carbon intensity? Empirical evidence based on Chinese provincial panel data.
    Meng XN; Xu SC
    Environ Sci Pollut Res Int; 2022 Aug; 29(40):61012-61026. PubMed ID: 35434754
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Guangdong's embodied carbon emission in China's inter-provincial trade based on MRIO model.
    Yu C; Mizunoya T; Yan J; Li L
    Environ Sci Pollut Res Int; 2021 May; 28(18):23432-23447. PubMed ID: 33443731
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Spatial distribution and convergence of provincial carbon intensity in China and its influencing factors: a spatial panel analysis from 2000 to 2017.
    Li H; Li B; Liu H; Zhao H; Wang Y
    Environ Sci Pollut Res Int; 2021 Oct; 28(39):54575-54593. PubMed ID: 34013414
    [TBL] [Abstract][Full Text] [Related]  

  • 7. What determines the climate mitigation process of China's regional industrial sector?
    Zang H; Wang M; Feng C
    Environ Sci Pollut Res Int; 2021 Feb; 28(8):9192-9203. PubMed ID: 33128711
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Spatial econometric analysis of carbon emission intensity in Chinese provinces from the perspective of innovation-driven.
    Liang S; Zhao J; He S; Xu Q; Ma X
    Environ Sci Pollut Res Int; 2019 May; 26(14):13878-13895. PubMed ID: 30645742
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Spatial Effects of Technological Progress and Financial Support on China's Provincial Carbon Emissions.
    Zhou Y; Xu Y; Liu C; Fang Z; Guo J
    Int J Environ Res Public Health; 2019 May; 16(10):. PubMed ID: 31100968
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Study of the Impact of Industrial Restructuring on the Spatial and Temporal Evolution of Carbon Emission Intensity in Chinese Provinces-Analysis of Mediating Effects Based on Technological Innovation.
    Wang J; Yu S; Li M; Cheng Y; Wang C
    Int J Environ Res Public Health; 2022 Oct; 19(20):. PubMed ID: 36293978
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Study on high energy-consuming industrial agglomeration, green finance, and carbon emission.
    Hou H; Chen M; Zhang M
    Environ Sci Pollut Res Int; 2023 Mar; 30(11):29300-29320. PubMed ID: 36414890
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Applying the Super-EBM model and spatial Durbin model to examining total-factor ecological efficiency from a multi-dimensional perspective: evidence from China.
    Chengyu L; Yongmei Z; Shiqiang Z; Jianmei W
    Environ Sci Pollut Res Int; 2022 Jan; 29(2):2183-2202. PubMed ID: 34363169
    [TBL] [Abstract][Full Text] [Related]  

  • 14. The Emission Reduction Effect of Financial Agglomeration under China's Carbon Peak and Neutrality Goals.
    Wu Y; Peng B; Lao Y
    Int J Environ Res Public Health; 2023 Jan; 20(2):. PubMed ID: 36673706
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Digital Economy, Agricultural Technological Progress, and Agricultural Carbon Intensity: Evidence from China.
    Zhong R; He Q; Qi Y
    Int J Environ Res Public Health; 2022 May; 19(11):. PubMed ID: 35682072
    [TBL] [Abstract][Full Text] [Related]  

  • 16. The influence of energy consumption and research and development on carbon emission in China: a modified spatial Durbin model approach.
    Qunfang G; Huang X
    Environ Sci Pollut Res Int; 2023 Mar; 30(15):44173-44186. PubMed ID: 36689114
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Spatial-temporal analysis of China's carbon intensity: a ST-IDA decomposition based on energy input-output table.
    Liu H; Gong G
    Environ Sci Pollut Res Int; 2021 Nov; 28(42):60060-60079. PubMed ID: 34152542
    [TBL] [Abstract][Full Text] [Related]  

  • 18. The temporal and spatial pattern evolution of provincial industrial carbon intensity under the carbon neutral target: evidence from China.
    Jiang H; Yu Z; Zhang Y; Yu Y; Huang W
    Environ Sci Pollut Res Int; 2023 May; 30(21):61134-61144. PubMed ID: 37046170
    [TBL] [Abstract][Full Text] [Related]  

  • 19. The impact of LCTI on China's low-carbon transformation from the spatial spillover perspective.
    Li W; Xu J; Wang Z; Yang J
    PLoS One; 2020; 15(11):e0242425. PubMed ID: 33226980
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 32.