ArticleHeliyon2024
Impact of digital transformation on green production: Evidence from China.
Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
2 citing papers in PubMed.
- Promoting Chinese medical equipment enterprises' environmentally friendly production through digital transformation and net zero strategic consensus.Scientific reports · 2025Article
- Synergistic effects of digital technology and environmental regulation on the green transformation of China's manufacturing industry.Scientific reports · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the global context of development transformation, digital transformation (DT) has emerged as a prevalent practice among international corporations, facilitating the simultaneous enhancement of economic growth. However, limited research on how digital transformation affects green production, especially at a micro level, poses risks by impeding the understanding of strategies for balancing economic growth and environmental sustainability. This study addresses a critical research gap by elucidating the influence of digitization on green total factor productivity (GTFP). We based our findings on a sample of 280 listed non-financial firms from 2007 to 2021 and computed core variables through text analysis and the super-SBM model. The data analysis using fixed effects models, correlation analysis, instrumental variable approach, and difference-in-differences method. The findings underscore the positive impact of DT on enhancing firms' green innovation, investment efficiency, and internal control, consequently significantly elevating the level of GTFP. Additionally, it was observed that normal DT contributes to the sustainable long-term improvement of a firm's GTFP, whereas excessive DT exhibits a positive impact on short-term GTFP. This study's insights into the positive impact of DT on GTFP serve to guide enterprises and policymakers in navigating a transition towards high-quality development, facilitating a balanced approach that fosters environmental conservation alongside economic growth in both emerging and global contexts.
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.