Moderation of Clean Energy Innovation in the Relationship between the Carbon Footprint and Profits in CO?e-Intensive Firms: A Quantitative Longitudinal Study

SUSTAINABILITY(2023)

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摘要
This paper sought to analyze the moderating effect of clean energy innovation on the relationship between corporate carbon footprint and corporate profits in fossil fuel intensive industrial sectors in which it is "hard to abate" CO2e emissions. We used a longitudinal design consisting of a panel study with a structural equation modeling (SEM) method, based on partial least squares. For the analysis of longitudinal moderation, this paper employed a Bayesian multiple-indicator latent growth curve model (B-LGC model). A global sample was used, consisting of 7827 firm-year observations between 2015 and 2021 for 167 international firms. The results showed that the corporate carbon footprint had a very significant impact on corporate profits and that innovations in clean energy-measured as renewable energy consumption-positively moderate the relationship between Scope 3 value chain greenhouse gas emissions (according to the Greenhouse Gas (GHG) Protocol) and the gross profit margin obtained. In addition to the academic contributions made by the moderating effect of clean energy innovation, these findings imply that a more detailed understanding of total value chain emissions (Scope 3 CO2e) among executives and managers at high CO2e-emitting companies offers an effective mechanism for obtaining higher profits and creating competitive advantages, while at the same time achieving a net zero emissions strategy. More importantly, public policymakers will be able to use these results to revise CO2e-related policies, paying closer attention to the Scope 3 CO2e emissions produced by these companies to design regulatory and control mechanisms that stimulate clean energy innovation.
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关键词
clean energy innovation,corporate carbon footprint,corporate profits,high CO ?e emissions,longitudinal panel model,latent growth curve (LGC)
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