Has the digital transformation promoted enterprise innovation? Evidence from China
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Based on data from Chinese A-share listed companies spanning 2003 to 2019, this paper empirically examines the impact and mechanism of the digital transformation on enterprise innovation. It is found that digital transformation has a significant positive effect on enterprise innovation. After a series of robustness and endogeneity checks, the conclusion of the study remains consistent. Heterogeneity analysis demonstrates a stronger promoting effect of digital transformation on the innovation of small-size enterprises, non-state-owned enterprises and long-duration enterprises. The results of mechanism test indicate that knowledge spillover effect and digital technology upgrading effect are the internal channels through which digital transformation promotes enterprise innovation. Further analysis reveals the existence of an industrial chain linkage of the enterprise digital transformation, indicating that the digital transformation of focus enterprises can spread along the industrial chain, thereby promoting innovation in both upstream and downstream enterprises.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it