Descriptive statistics of variables. by Pengyu Yang (2668450)

“…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. …”

Endogenous treatment. by Pengyu Yang (2668450)

“…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. …”

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

“…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. …”

Analysis of peer effects. by Pengyu Yang (2668450)

“…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. …”

Political events and impacts in different periods. by Jie Li (15030)

Univariate and multivariate logistic regression analyses of the impact of Safe-Speed-5030 on the study population. by Hun Gi Lee (21526538)

Distribution of the same ingredient across different IDDSI levels (Percentages and frequencies) and statistical significance analysis (Chi-square analysis). by Muxi Chen (9294270)

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Landmark prospective studies on the impact of T classification and LN involvement on the survival of AC. by Aihong Zheng (20571034)

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Adult <i>Shroom3</i>^<i>+</i>^<i>/Gt</i> hearts show decreased cardiomyocyte cross-sectional area. by Jennifer L. Carleton (22208916)

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Impact of 5′ nucleotidase disruption on <i>M</i>. <i>bovis</i> growth phenotype in axenic conditions. by Aga E. Gelgie (17661720)

Total match head impacts by player position. by Rachel S. Watson (21864061)

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Total match head impacts by header scenario. by Rachel S. Watson (21864061)

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Team A head impacts by player position. by Rachel S. Watson (21864061)

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Sequential viral exposure shapes immune cell profiles in mucosal tissues. by Yuhao Li (1559569)

Regional cultural impacts and representative cultural heritages. by Jie Li (15030)

Evogliptin attenuates the phenotypic switch of VSMCs during CER treatment by decreasing the osteogenesis-associated genes <i>in-vitro.</i> by Razia Rashid Rahil (22772495)

Distribution of different ingredients at the same IDDSI level (Percentage and frequency) and statistical significance analysis (Chi-square test)^b'*'. by Muxi Chen (9294270)

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Analytical framework and statistical methods. by Na Chen (153323)

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Average per capita transfer VS share of HH that reduced income. by Na Chen (153323)

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Changes in average income reduction rate of households over time across different income groups. by Na Chen (153323)

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