Showing 561 - 580 results of 21,342 for search '(( significant ((green decrease) OR (greatest decrease)) ) OR ( significant decrease decrease ))', query time: 0.46s Refine Results
  1. 561

    The robustness test. by Pengyu Yang (2668450)

    Published 2024
    “…The findings reveal that: (1) At this stage, digital transformation in listed companies effectively reduces their carbon intensity, but the relationship between the two is not linear; instead, it exhibits a U-shaped trajectory, initially decreasing then increasing. (2) Analysis of mechanism indicates that costs associated with environmental governance and innovations in green technology serve as critical pathways through which corporate digital transformation influences carbon intensity. (3) The analysis of driving effect suggests that the digital transformation significantly curtails the carbon emission intensity of both upstream and downstream enterprises as well as those within the same industry and geographical region, through industrial linkage and the cohort effect. (4) Heterogeneity analysis elucidates that the digital transformation of enterprises in regions with stronger government environmental regulations has a markedly more pronounced effect on reducing the carbon emission intensity. …”
  2. 562

    Mechanistic testing. by Pengyu Yang (2668450)

    Published 2024
    “…The findings reveal that: (1) At this stage, digital transformation in listed companies effectively reduces their carbon intensity, but the relationship between the two is not linear; instead, it exhibits a U-shaped trajectory, initially decreasing then increasing. (2) Analysis of mechanism indicates that costs associated with environmental governance and innovations in green technology serve as critical pathways through which corporate digital transformation influences carbon intensity. (3) The analysis of driving effect suggests that the digital transformation significantly curtails the carbon emission intensity of both upstream and downstream enterprises as well as those within the same industry and geographical region, through industrial linkage and the cohort effect. (4) Heterogeneity analysis elucidates that the digital transformation of enterprises in regions with stronger government environmental regulations has a markedly more pronounced effect on reducing the carbon emission intensity. …”
  3. 563

    Descriptive statistics of variables. by Pengyu Yang (2668450)

    Published 2024
    “…The findings reveal that: (1) At this stage, digital transformation in listed companies effectively reduces their carbon intensity, but the relationship between the two is not linear; instead, it exhibits a U-shaped trajectory, initially decreasing then increasing. (2) Analysis of mechanism indicates that costs associated with environmental governance and innovations in green technology serve as critical pathways through which corporate digital transformation influences carbon intensity. (3) The analysis of driving effect suggests that the digital transformation significantly curtails the carbon emission intensity of both upstream and downstream enterprises as well as those within the same industry and geographical region, through industrial linkage and the cohort effect. (4) Heterogeneity analysis elucidates that the digital transformation of enterprises in regions with stronger government environmental regulations has a markedly more pronounced effect on reducing the carbon emission intensity. …”
  4. 564

    Endogenous treatment. by Pengyu Yang (2668450)

    Published 2024
    “…The findings reveal that: (1) At this stage, digital transformation in listed companies effectively reduces their carbon intensity, but the relationship between the two is not linear; instead, it exhibits a U-shaped trajectory, initially decreasing then increasing. (2) Analysis of mechanism indicates that costs associated with environmental governance and innovations in green technology serve as critical pathways through which corporate digital transformation influences carbon intensity. (3) The analysis of driving effect suggests that the digital transformation significantly curtails the carbon emission intensity of both upstream and downstream enterprises as well as those within the same industry and geographical region, through industrial linkage and the cohort effect. (4) Heterogeneity analysis elucidates that the digital transformation of enterprises in regions with stronger government environmental regulations has a markedly more pronounced effect on reducing the carbon emission intensity. …”
  5. 565

    Analysis of industry linkage effects. by Pengyu Yang (2668450)

    Published 2024
    “…The findings reveal that: (1) At this stage, digital transformation in listed companies effectively reduces their carbon intensity, but the relationship between the two is not linear; instead, it exhibits a U-shaped trajectory, initially decreasing then increasing. (2) Analysis of mechanism indicates that costs associated with environmental governance and innovations in green technology serve as critical pathways through which corporate digital transformation influences carbon intensity. (3) The analysis of driving effect suggests that the digital transformation significantly curtails the carbon emission intensity of both upstream and downstream enterprises as well as those within the same industry and geographical region, through industrial linkage and the cohort effect. (4) Heterogeneity analysis elucidates that the digital transformation of enterprises in regions with stronger government environmental regulations has a markedly more pronounced effect on reducing the carbon emission intensity. …”
  6. 566

    Analysis of peer effects. by Pengyu Yang (2668450)

    Published 2024
    “…The findings reveal that: (1) At this stage, digital transformation in listed companies effectively reduces their carbon intensity, but the relationship between the two is not linear; instead, it exhibits a U-shaped trajectory, initially decreasing then increasing. (2) Analysis of mechanism indicates that costs associated with environmental governance and innovations in green technology serve as critical pathways through which corporate digital transformation influences carbon intensity. (3) The analysis of driving effect suggests that the digital transformation significantly curtails the carbon emission intensity of both upstream and downstream enterprises as well as those within the same industry and geographical region, through industrial linkage and the cohort effect. (4) Heterogeneity analysis elucidates that the digital transformation of enterprises in regions with stronger government environmental regulations has a markedly more pronounced effect on reducing the carbon emission intensity. …”
  7. 567
  8. 568

    Supplementary Material for: Allopurinol Use is Associated With Decreased Incidence of Hepatic Decompensation and Overall Mortality Among Individuals With Cirrhosis: a Propensity-ma... by figshare admin karger (2628495)

    Published 2025
    “…Background: Cirrhosis is associated with significant morbidity and mortality. Recent studies have highlighted the potential role of allopurinol in reducing the incidence of hepatic decompensation among individuals with cirrhosis. …”
  9. 569
  10. 570

    Table 1_A novel α-conotoxin [D1G, ΔQ14] LvIC decreased mouse locomotor activity.xls by Wen Wang (6570)

    Published 2025
    “…</p>Conclusion<p>Our findings indicate that α-conotoxin [D1G, ΔQ14] LvIC significantly decreased locomotor activity in mice. Additionally, it altered gene expression primarily in areas related to neuronal development, synapse formation, and neuron activity, while also reducing synapse strength. …”
  11. 571

    Table 2_A novel α-conotoxin [D1G, ΔQ14] LvIC decreased mouse locomotor activity.xls by Wen Wang (6570)

    Published 2025
    “…</p>Conclusion<p>Our findings indicate that α-conotoxin [D1G, ΔQ14] LvIC significantly decreased locomotor activity in mice. Additionally, it altered gene expression primarily in areas related to neuronal development, synapse formation, and neuron activity, while also reducing synapse strength. …”
  12. 572

    Data_GDP/ Ndvi. by Qianhong Mao (22305184)

    Published 2025
    “…Most of the mean value of ESs showed a gradient increasing differences along urban-fringe-rural, while the greatest decrease occurs in fringe expansion and urban expansion areas; and (3) interactions for changes in ES pairs also more closely linked in these two regions, with synergies dominating. …”
  13. 573

    Flow chart of the study. by Qianhong Mao (22305184)

    Published 2025
    “…Most of the mean value of ESs showed a gradient increasing differences along urban-fringe-rural, while the greatest decrease occurs in fringe expansion and urban expansion areas; and (3) interactions for changes in ES pairs also more closely linked in these two regions, with synergies dominating. …”
  14. 574

    Example of manual identification. by Qianhong Mao (22305184)

    Published 2025
    “…Most of the mean value of ESs showed a gradient increasing differences along urban-fringe-rural, while the greatest decrease occurs in fringe expansion and urban expansion areas; and (3) interactions for changes in ES pairs also more closely linked in these two regions, with synergies dominating. …”
  15. 575

    Data_soil. by Qianhong Mao (22305184)

    Published 2025
    “…Most of the mean value of ESs showed a gradient increasing differences along urban-fringe-rural, while the greatest decrease occurs in fringe expansion and urban expansion areas; and (3) interactions for changes in ES pairs also more closely linked in these two regions, with synergies dominating. …”
  16. 576

    Data_road. by Qianhong Mao (22305184)

    Published 2025
    “…Most of the mean value of ESs showed a gradient increasing differences along urban-fringe-rural, while the greatest decrease occurs in fringe expansion and urban expansion areas; and (3) interactions for changes in ES pairs also more closely linked in these two regions, with synergies dominating. …”
  17. 577

    Excel_ESs and transfer matrix. by Qianhong Mao (22305184)

    Published 2025
    “…Most of the mean value of ESs showed a gradient increasing differences along urban-fringe-rural, while the greatest decrease occurs in fringe expansion and urban expansion areas; and (3) interactions for changes in ES pairs also more closely linked in these two regions, with synergies dominating. …”
  18. 578

    Data sources and descriptions. by Qianhong Mao (22305184)

    Published 2025
    “…Most of the mean value of ESs showed a gradient increasing differences along urban-fringe-rural, while the greatest decrease occurs in fringe expansion and urban expansion areas; and (3) interactions for changes in ES pairs also more closely linked in these two regions, with synergies dominating. …”
  19. 579

    Coupling coordination types. by Qianhong Mao (22305184)

    Published 2025
    “…Most of the mean value of ESs showed a gradient increasing differences along urban-fringe-rural, while the greatest decrease occurs in fringe expansion and urban expansion areas; and (3) interactions for changes in ES pairs also more closely linked in these two regions, with synergies dominating. …”
  20. 580

    Results_urban-fringe-rural. by Qianhong Mao (22305184)

    Published 2025
    “…Most of the mean value of ESs showed a gradient increasing differences along urban-fringe-rural, while the greatest decrease occurs in fringe expansion and urban expansion areas; and (3) interactions for changes in ES pairs also more closely linked in these two regions, with synergies dominating. …”