From bytes to green: The impact of supply chain digitization on corporate green innovation

Jing Ma, Qing Li, Qiuyun Zhao, Jennhae Liou and Chen Li

Energy Economics, 2024, vol. 139, issue C

Abstract: A significant share of corporate carbon emissions stems from the supply chain, necessitating an analysis of how supply chain digitalization influences green innovation in the digital age. This paper examines this impact using data from Chinese listed firms (2012−2022). Theoretically, the study posits that supply chain digitalization facilitates green innovation through two primary mechanisms: enhancing upstream and downstream integration and boosting the internal efficiency of supply chain management at nodal enterprises. Empirically, a quasi-natural experiment leveraging the Supply Chain Innovation and Application Pilot Program serves as an exogenous shock. Key findings include: (1) Supply chain digitalization enhances corporate green innovation, with robust results across various tests. (2) The effect is mainly driven by enhanced supply chain integration—more from supplier concentration than customer concentration—and improved internal supply chain management efficiency. (3) The impact has three characteristics: Quality-first Effect, Crowding-in Effect and Persistence Effect. Specifically, supply chain digitalization mainly boosts high-quality green invention patent applications without crowding-out other non-green innovation, while also positively influences sustained green innovation. (4) Supply chain digitalization primarily enhances green innovation in End-of-Pipe and Process Control Technologies, with limited effects on Pollution Prevention at Source.

Keywords: Supply chain digitalization; Green innovation; Supply chain integration; Supply chain management efficiency; Whole process green innovation (search for similar items in EconPapers)
JEL-codes: M11 O33 Q55 (search for similar items in EconPapers)
Date: 2024
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:eneeco:v:139:y:2024:i:c:s0140988324006509

DOI: 10.1016/j.eneco.2024.107942

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