Clean energy innovation is critical to the decarbonization of CO2-intensive industries that rely on fossil fuels. Nonetheless, a deeper understanding of the influence of technical innovation on firms' efforts to tackle climate change and improve economic competitiveness is needed, particularly in those industrial sectors with "hard-to-abate" CO2e emissions. This quantitative longitudinal research examines the moderating effect of clean energy innovation on the link between carbon footprint and corporate profits using a global sample of 7,827 firm-year data pertaining to 167 multinational companies between 2018 and 2021. This study uses the Bayesian method, a recommended statistical framework for fitting complex growth curve models with longitudinal data, to specify a multi-indicator latent growth curve (B-LGC) model for longitudinal moderation analysis. The findings indicate that the car...

Clean energy innovation is critical to the decarbonization of CO2-intensive industries that rely on fossil fuels. Nonetheless, a deeper understanding of the influence of technical innovation on firms' efforts to tackle climate change and improve economic competitiveness is needed, particularly in those industrial sectors with "hard-to-abate" CO2e emissions. This quantitative longitudinal research examines the moderating effect of clean energy innovation on the link between carbon footprint and corporate profits using a global sample of 7,827 firm-year data pertaining to 167 multinational companies between 2018 and 2021. This study uses the Bayesian method, a recommended statistical framework for fitting complex growth curve models with longitudinal data, to specify a multi-indicator latent growth curve (B-LGC) model for longitudinal moderation analysis. The findings indicate that the car...