Hongqiao Gao

This study employs meta‐analysis to assess the effect of digital technology on new quality agricultural productivity, defined as a systemic construct driven by technological innovation and factor reallocation and encompassing output, efficiency, and green performance. Based on 853 estimates from 48 studies, all effect sizes are converted into partial correlation coefficients. The results show a small positive average effect that remains robust across publication‐bias and sensitivity tests. The positive effect does not vary significantly across digital technology types, productivity measures, transmission mechanisms, region, or analytical scales, but is influenced by climate and environmental risks, temporal contexts, and econometric methods. Climate risk significantly strengthens the contribution of digital technology, particularly in the 2010s, whereas this effect was relatively weak in the 1990s. No significant differences emerge across technology types under climate risk, suggesting that coordinated digital systems may enhance agricultural climate resilience more effectively than individual technologies. This study integrates fragmented microlevel, regional, and cross‐country evidence within a comparable framework, distinguishes average from conditional effects, and incorporates climate risk into research on new quality agricultural productivity.