Does supply chain digital intelligence improve corporate energy efficiency? Empirical evidence from machine learning

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In the context of the synergistic development of digitization and green development, exploring whether supply chain digital intelligence can improve corporate energy efficiency is of great importance. In this paper, we employ a double machine learning model to investigate the impact of supply chain digital intelligence on corporate energy efficiency and its potential mechanisms, based on panel data of Chinese A-share listed companies from 2012 to 2023. The findings indicate that the digital and intelligent transformation of supply chains improves corporate energy efficiency, and this conclusion remains robust even after a series of robustness tests. Further, heterogeneity analysis reveals that the efficiency improvement effect of supply chain digital intelligence is more significant under high environmental uncertainty, especially for non-state-owned firms, heavily polluting firms, and firms with higher risk-taking levels. Finally, the mechanism test finds that supply chain digital intelligence improves energy efficiency by enhancing specialization, promoting technological innovation, and reducing supply chain concentration. This paper provides empirical evidence and practical insights for exploring the low-carbon effects of the digital intelligence transformation of supply chains.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.