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Can big data development drive green technology innovation? The spillover role of supply chain partners

Wanhai You, Bingbing You and Yawei Guo

Energy Economics, 2025, vol. 150, issue C

Abstract: The development of corporate big data has been widely recognized as a significant driver of internal green technology innovation. Moreover, supply chain networks, serving as essential channels for innovation resources, have substantial potential to facilitate green technology innovation. However, the potential spillover effects through supply chain networks remain underexplored. This study analyzes how supply chain partners' big data development affects enterprise green technology innovation. Using the data of Chinese A-share listed companies from 2012 to 2022, we employ the Word2vec model to measure supply chain partners' big data development. Our results reveal that supply chain partners' big data development significantly enhances focal firms' green technology innovation. Heterogeneity analysis demonstrates that the effect is particularly pronounced for large companies and those in low-marketization regions, with suppliers' big data development exhibiting a stronger impact than that of customers. Notably, technology integration capability weakens this relationship, whereas market competition strengthens it. These findings provide novel insights and valuable guidance for policymakers seeking to promote strategic green transformation, thereby supplementing existing literature.

Keywords: Supply chain partners; Big data development; Green technology innovation; Word2vec model; Moderating effect (search for similar items in EconPapers)
JEL-codes: R15 (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:eneeco:v:150:y:2025:i:c:s0140988325006383

DOI: 10.1016/j.eneco.2025.108811

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Energy Economics is currently edited by R. S. J. Tol, Beng Ang, Lance Bachmeier, Perry Sadorsky, Ugur Soytas and J. P. Weyant

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