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 *

115 related articles for article (PubMed ID: 38530821)

  • 1. The influence of biased technical progress on employment scale of the circulation industry: Evidence from China.
    Wu Z; Yue B; Dai Y; Ge Y; Lu G; Zu F
    PLoS One; 2024; 19(3):e0300126. PubMed ID: 38530821
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Quantifying biased technical progress in China: Heterogeneous human capital and labor force dynamics.
    Cui X; Elahi E; Xu B; Xing J; Shuaib M; Khalid Z
    Heliyon; 2024 Jul; 10(13):e33540. PubMed ID: 39027519
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Green-Biased Technical Change and Its Influencing Factors of Agriculture Industry: Empirical Evidence at the Provincial Level in China.
    Wang Y; Zuo L; Qian S
    Int J Environ Res Public Health; 2022 Dec; 19(23):. PubMed ID: 36498441
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Research on energy directed technical change in China's industry and its optimization of energy consumption pattern.
    Cheng Z; Li L; Liu J; Zhang H
    J Environ Manage; 2019 Nov; 250():109471. PubMed ID: 31479933
    [TBL] [Abstract][Full Text] [Related]  

  • 5. The 'double-edged effect' of progress in energy-biased technology on energy efficiency: A comparison between the manufacturing sector of China and Japan.
    Liao M; Ren Y
    J Environ Manage; 2020 Sep; 270():110794. PubMed ID: 32721289
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Going Green or Going Away? A Spatial Empirical Examination of the Relationship between Environmental Regulations, Biased Technological Progress, and Green Total Factor Productivity.
    Wang X; Sun C; Wang S; Zhang Z; Zou W
    Int J Environ Res Public Health; 2018 Sep; 15(9):. PubMed ID: 30177660
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Calculation of the contribution rate of China's hydraulic science and technology based on a feedforward neural network.
    Xu R; Wu Y; Chen M; Zhang X; Wu W; Tan L; Wang G; Xu Y; Yan B; Xia Y
    PLoS One; 2019; 14(9):e0222091. PubMed ID: 31509561
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Will advancement in technologies bring fear and damage human employment? Evidence from China's manufacturing industry.
    Wang P; Li D; Wang Y; Han Q; Khan YA
    PLoS One; 2024; 19(4):e0295942. PubMed ID: 38669294
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Effective supply of eco-product and its influence factors at provincial scale of China from the perspective of supply-side reform.
    Zheng J; Yu H
    Ying Yong Sheng Tai Xue Bao; 2018 Oct; 29(10):3326-3336. PubMed ID: 30325158
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Carbon emission intensity and biased technical change in China's different regions: a novel multidimensional decomposition approach.
    Ding L; Zhang K; Yang Y
    Environ Sci Pollut Res Int; 2022 May; 29(25):38083-38096. PubMed ID: 35067877
    [TBL] [Abstract][Full Text] [Related]  

  • 11. The diminishing marginal contribution of R&D investment on green technological progress: a case study of China's manufacturing industry.
    Zhang X; Li R; Zhang J
    Environ Sci Pollut Res Int; 2023 Feb; 30(6):14190-14199. PubMed ID: 36151434
    [TBL] [Abstract][Full Text] [Related]  

  • 12. On sustainable development of population and national economy.
    Tian X
    Chin J Popul Sci; 1995; 7(3):201-12. PubMed ID: 12290856
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Investment Behavior Related to Automated Machines and Biased Technical Change: Based on Evidence From Listed Manufacturing Companies in China.
    Jiang H; Wang X; Xiao Q; Li S
    Front Psychol; 2022; 13():874820. PubMed ID: 35572311
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Green Biased Technical Change in Terms of Industrial Water Resources in China's Yangtze River Economic Belt.
    Zhang X; Sun F; Wang H; Qu Y
    Int J Environ Res Public Health; 2020 Apr; 17(8):. PubMed ID: 32316648
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Population, consumption, and continuous economic progress.
    Zhang SL
    Chin J Popul Sci; 1997; 9(3):215-22. PubMed ID: 12293113
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Regional green total factor performance analysis of China's construction industry based on a unified framework combining static and dynamic indexes.
    Li Y; Wang J; Liu B; Li H; Guo Y; Guo X
    Environ Sci Pollut Res Int; 2023 Feb; 30(10):26874-26888. PubMed ID: 36370307
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Research on the income distribution effect of factor allocation efficiency changes among China's three major industries.
    Zhang B; Dong W; Yao J
    PLoS One; 2023; 18(10):e0292927. PubMed ID: 37883356
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Can Global Value Chain Participation Drive Green Upgrade in China's Manufacturing Industry?
    Wang S; Wang H
    Int J Environ Res Public Health; 2022 Sep; 19(19):. PubMed ID: 36231314
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Prospects for the diversion of China's agricultural labour force.
    Pan J; Guo S
    Popul Res; 1986 Jul; 3(3):29-37. PubMed ID: 12268825
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Technical efficiency estimation of China's environmental protection enterprises and its heterogeneity.
    Wang R; Wang R; He X
    Environ Sci Pollut Res Int; 2020 Sep; 27(26):33161-33180. PubMed ID: 32529612
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.