ArticleScientific reports2025
The impact of digital technology on total factor productivity in manufacturing enterprises.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- A KPI-Based Model for Improving Aluminium Alloy Casting Processes: Effects on Material Properties of Castings.Materials (Basel, Switzerland) · 2026Article
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
Abstract
Digital technology drives high-quality development in manufacturing while serving as a critical enabler for advancing the digital economy. Using data from the Chinese list of manufacturing enterprises from 2012 to 2023, this study empirically analyzes the impact of digital technology on total factor productivity (TFP) in manufacturing and its mechanism of action and further explores its heterogeneity. The results show that digital technology has significantly promoted total factor productivity in manufacturing; this effect was still valid after a series of robustness tests and endogeneity tests were conducted. The mechanism analysis indicated that digital technology enhances total factor productivity in the manufacturing enterprises through the enhancement of the innovation ability of enterprises and the reduction in the operation and management costs. The heterogeneity analysis showed that digital technology has a more significant effect on the total factor productivity enhancement of enterprises in the eastern region, state-owned enterprises, and small and medium-sized enterprises. The conclusions provide clear policy implications for the promotion of the digital transformation of enterprises, accelerating the formation of high-quality productivity in enterprises, and promoting the high-quality development of the manufacturing 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.