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 *

321 related articles for article (PubMed ID: 33494439)

  • 1. Study on Mechanisms Underlying Changes in Agricultural Carbon Emissions: A Case in Jilin Province, China, 1998-2018.
    Guo H; Fan B; Pan C
    Int J Environ Res Public Health; 2021 Jan; 18(3):. PubMed ID: 33494439
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Crop Production and Agricultural Carbon Emissions: Relationship Diagnosis and Decomposition Analysis.
    Sui J; Lv W
    Int J Environ Res Public Health; 2021 Aug; 18(15):. PubMed ID: 34360511
    [TBL] [Abstract][Full Text] [Related]  

  • 3. [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]  

  • 4. Decoupling and Decomposition Analysis of Agricultural Carbon Emissions: Evidence from Heilongjiang Province, China.
    Huang Q; Zhang Y
    Int J Environ Res Public Health; 2021 Dec; 19(1):. PubMed ID: 35010458
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Agricultural carbon emissions in Zhejiang Province, China (2001-2020): changing trends, influencing factors, and has it achieved synergy with food security and economic development?
    Xia Q; Liao M; Xie X; Guo B; Lu X; Qiu H
    Environ Monit Assess; 2023 Oct; 195(11):1391. PubMed ID: 37903960
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Spatiotemporal Characteristics, Decoupling Effect and Driving Factors of Carbon Emission from Cultivated Land Utilization in Hubei Province.
    Xiao P; Zhang Y; Qian P; Lu M; Yu Z; Xu J; Zhao C; Qian H
    Int J Environ Res Public Health; 2022 Jul; 19(15):. PubMed ID: 35954683
    [TBL] [Abstract][Full Text] [Related]  

  • 7. The impacts of driving variables on energy-related carbon emissions reduction in the building sector based on an extended LMDI model: a case study in China.
    Jiang B; Sun L; Zhang X; Li HX; Huang B
    Environ Sci Pollut Res Int; 2023 Dec; 30(59):124139-124154. PubMed ID: 37999836
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Dynamic Relationships, Regional Differences, and Driving Mechanisms between Economic Development and Carbon Emissions from the Farming Industry: Empirical Evidence from Rural China.
    Liu W; Xu R; Deng Y; Lu W; Zhou B; Zhao M
    Int J Environ Res Public Health; 2021 Feb; 18(5):. PubMed ID: 33668785
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Study on industrial selection of counterpart cooperation between Jilin province and Zhejiang province in China from the perspective of low carbon.
    Li D; Lei Y; Li L; Liu L
    Environ Sci Pollut Res Int; 2020 May; 27(14):16668-16676. PubMed ID: 32128735
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. The relationship between agricultural and animal husbandry economic development and carbon emissions in Henan Province, the analysis of factors affecting carbon emissions, and carbon emissions prediction.
    Wei Z; Wei K; Liu J; Zhou Y
    Mar Pollut Bull; 2023 Aug; 193():115134. PubMed ID: 37379632
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Empirical Analysis of Carbon Emission Accounting and Influencing Factors of Energy Consumption in China.
    Meng Z; Wang H; Wang B
    Int J Environ Res Public Health; 2018 Nov; 15(11):. PubMed ID: 30400644
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Spatiotemporal heterogeneity and decoupling decomposition of industrial carbon emissions in the Yangtze River Delta urban agglomeration of China.
    Hu H; Lv T; Zhang X; Xie H; Fu S; Geng C; Li Z
    Environ Sci Pollut Res Int; 2023 Apr; 30(17):50412-50430. PubMed ID: 36792860
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Using Kaya and LMDI models to analyze carbon emissions from the energy consumption in China.
    Yang P; Liang X; Drohan PJ
    Environ Sci Pollut Res Int; 2020 Jul; 27(21):26495-26501. PubMed ID: 32367238
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Carbon emissions in the logistics industry: driving factors and decoupling effects.
    Ding H; Wu X; Guo Y; Liu C
    Environ Sci Pollut Res Int; 2024 Apr; 31(17):25721-25735. PubMed ID: 38483717
    [TBL] [Abstract][Full Text] [Related]  

  • 16. [Spatial-temporal evolution characteristics and influencing factors of county-scale environmental pollution in Jilin Province, Northeast China].
    Li LG; Zhang PY; Liu WX; Li J; Wang LF
    Ying Yong Sheng Tai Xue Bao; 2019 Jul; 30(7):2361-2370. PubMed ID: 31418240
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Driving factors and decoupling trend analysis between agricultural CO
    Yang J; Luo P; Li L
    Math Biosci Eng; 2022 Sep; 19(12):13093-13113. PubMed ID: 36654037
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Study on the Spatiotemporal Evolution and Influencing Factors of Agricultural Carbon Emissions in the Counties of Zhejiang Province.
    Wen C; Zheng J; Hu B; Lin Q
    Int J Environ Res Public Health; 2022 Dec; 20(1):. PubMed ID: 36612510
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A comparison analysis of the decoupling carbon emissions from economic growth in three industries of Heilongjiang province in China.
    Liu X; Li S
    Environ Sci Pollut Res Int; 2021 Dec; 28(46):65200-65215. PubMed ID: 34231151
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Analysis of regional agricultural carbon emission efficiency and influencing factors: Case study of Hubei Province in China.
    Shan T; Xia Y; Hu C; Zhang S; Zhang J; Xiao Y; Dan F
    PLoS One; 2022; 17(4):e0266172. PubMed ID: 35482771
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 17.