ArticleScientific reports2025
The effect of supplier digitalization on customer firm emissions.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
The application of digital technology is a crucial means to achieve low-carbon development goals, with supplier firms' digital transformation driving supply chain optimization as a key pathway to this goal. This study systematically examines the forward spillover effects of supplier firms' digital transformation. Using panel data from A-share listed companies in China over the period 2007-2022, we focus on vertical supply chain linkages. The results indicate that supplier firms' digital transformation significantly reduces customer firms' environmental pollution emissions, a conclusion that remains robust across various tests. Moreover, we find that this effect is asymmetric: it is significantly stronger when suppliers' digitalization levels exceed those of their customers. Heterogeneity analysis shows that the pollution-reduction effect is stronger when customer firms are located in regions with lower resource endowments, have higher supply-chain dependence, operate in non-heavy-pollution industries, or are non-state-owned enterprises. Mechanism analysis demonstrates that supplier digitalization achieves these gains by enhancing green technological innovation and increasing external stakeholder attention. The findings provide a foundation for fully leveraging the environmental potential of digital transformation within supply chains and offer important insights into advancing supply chain modernization and promoting green, high-quality development.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.