These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

146 related articles for article (PubMed ID: 38042085)

  • 1. Distribution characteristics and influencing factors of household consumption carbon emissions in China from a spatial perspective.
    Lian Y; Lin X; Luo H; Zhang J; Sun X
    J Environ Manage; 2024 Feb; 351():119564. PubMed ID: 38042085
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Empirical research on household consumption carbon emissions and key impact factors in urban and rural China.
    Lian Y; Lin X; Luo H; Niu Y; Zhang J
    Environ Sci Pollut Res Int; 2023 May; 30(22):62423-62439. PubMed ID: 36943560
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Temporal dynamics and spatial differences of household carbon emissions per capita of China's provinces during 2000-2019.
    Song C; Zhao T; Xiao Y
    Environ Sci Pollut Res Int; 2022 May; 29(21):31198-31216. PubMed ID: 35001270
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Spatial-temporal characteristics and influencing factors of county-level carbon emissions in Zhejiang Province, China.
    Qi H; Shen X; Long F; Liu M; Gao X
    Environ Sci Pollut Res Int; 2023 Jan; 30(4):10136-10148. PubMed ID: 36070039
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. 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]  

  • 8. 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]  

  • 9. Spatial and temporal evolution characteristics and spillover effects of China's regional carbon emissions.
    Zhou K; Yang J; Yang T; Ding T
    J Environ Manage; 2023 Jan; 325(Pt A):116423. PubMed ID: 36244288
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. The Evolution of the Spatial Association Effect of Carbon Emissions in Transportation: A Social Network Perspective.
    Ma F; Wang Y; Yuen KF; Wang W; Li X; Liang Y
    Int J Environ Res Public Health; 2019 Jun; 16(12):. PubMed ID: 31216689
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Examining the spatiotemporal variations and inequality of China's provincial CO
    Wu X; Hu F; Han J; Zhang Y
    Environ Sci Pollut Res Int; 2020 May; 27(14):16362-16376. PubMed ID: 32124303
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Influence of research and development, environmental regulation, and consumption of energy on CO
    Dabuo FT; Du J; Madzikanda B; Coulibaly PT
    Environ Sci Pollut Res Int; 2023 Mar; 30(11):29065-29085. PubMed ID: 36401702
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Decomposition of drivers and identification of decoupling states for the evolution of carbon emissions from energy consumption in China.
    Wang Y; Mo S; Zhang C; Zhi J; Li C
    Environ Sci Pollut Res Int; 2023 Jun; 30(30):75629-75654. PubMed ID: 37222887
    [TBL] [Abstract][Full Text] [Related]  

  • 16. The carbon reduction effect of China's outward foreign direct investment for carbon neutrality target.
    Zhang ZB; Dong WY; Tang ZY
    Environ Sci Pollut Res Int; 2022 Nov; 29(55):83956-83968. PubMed ID: 35776306
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Effects of population flow on regional carbon emissions: evidence from China.
    Wu L; Jia X; Gao L; Zhou Y
    Environ Sci Pollut Res Int; 2021 Nov; 28(44):62628-62639. PubMed ID: 34196868
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Carbon peak forecast and low carbon policy choice of transportation industry in China: scenario prediction based on STIRPAT model.
    Li C; Zhang Z; Wang L
    Environ Sci Pollut Res Int; 2023 May; 30(22):63250-63271. PubMed ID: 36961638
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.