In the context of proposing"double carbon"goals,to alleviate the adverse impacts of glob-al climate change,businesses urgently need to undergo low-carbon transformation for sustainability and enhanced market competitiveness.Using panel data from A-share listed companies in the years 2008 to 2021 as a sample,key terms related to corporate low-carbon transformation were measured through Python web scraping.The research indicates that the degree of low-carbon transformation has a positive impact on the total factor productivity of enterprises.The mechanism behind this im-pact is as follows:companies with a high degree of low-carbon transformation are likely to improve their market position,obtaining more green loans to alleviate financing constraints,ultimately pro-moting the overall productivity of enterprises.The results remain valid after a series of robustness tests.Further investigation reveals that state-owned enterprises,companies with separate roles for chairman and CEO,and enterprises located in the eastern and central regions of China show a more significant positive impact on total factor productivity through low-carbon transformation.The re-search findings provide a theoretical basis for further promoting corporate low-carbon emissions re-duction efforts.
万方数据
维普
