ArticleScientific reports2025
How does the digital economy enhance carbon emission efficiency in the logistics industry? Empirical evidence from 30 Chinese provinces.
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
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The rapid advancement of digital infrastructure has accelerated the rise of the digital economy, now a key driver of industrial transformation. This study investigates how the digital economy influences carbon emission efficiency in the logistics industry, drawing on panel data from 30 Chinese provinces between 2012 and 2021. It further examines the mediating roles of industrial structural upgrading and energy structure, as well as heterogeneity and spatial spillover effects. The digital economy was measured using the entropy method, while carbon emission efficiency was assessed with the super-SBM model, followed by benchmark regression to test inter-factor relationships. The findings reveal a nonlinear relationship between the digital economy and carbon emission efficiency. Specifically, the digital economy enhances efficiency both directly and indirectly by fostering industrial structure upgrading and optimizing energy structure. Significant regional disparities were also identified, with nonlinear spatial spillover effects on neighboring provinces. Unlike prior research, this study employs a more rigorous methodological framework with a focused analysis of the logistics industry. The results enrich academic understanding of the digital economy-carbon emission efficiency nexus and offer practical insights into leveraging digital transformation to promote sustainable and green development in the logistics industry.
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.