How does artificial intelligence affect energy efficiency? Evidence from supply chain digitization pilot program

Jiaojiao Fan, Weiqian Li and Lin Chen

Energy Economics, 2025, vol. 149, issue C

Abstract: With rising global energy demand and increasing environmental awareness, energy transformation has become a core element in achieving sustainable development. Supply chain digitalization, a key area of artificial intelligence application, has become an important topic for its impact on energy efficiency. This paper examines the impact of supply chain digitization on energy efficiency using microdata from Chinese listed companies. The benchmark results show that supply chain digitalization significantly improves energy efficiency. Moreover, green total factor productivity and supply chain efficiency have a significant positive moderating effect on the relationship between supply chain digitization and energy efficiency. Finally, the heterogeneity regression results show that supply chain digitization has a significantly higher impact on energy efficiency in capital-intensive firms, non-green firms, highly polluting firms, and private firms. In conclusion, this study provides the first empirical evidence on the relationship between supply chain digitization and energy efficiency, which is important for China's energy transition.

Keywords: Supply chain digitalization; Energy efficiency; Green total factor productivity; Supply chain efficiency (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:eneeco:v:149:y:2025:i:c:s0140988325005559

DOI: 10.1016/j.eneco.2025.108728

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