Against the backdrop of intensifying global climate change and the digital transformation of agriculture, promoting the adoption of digital technologies among new agricultural operators is a crucial pathway to enhancing agricultural climate resilience and achieving sustainable agricultural development. Based on survey data from 516 new agricultural operators in typical agricultural regions such as Northeast China, Hunan, and Hebei, this study employs Logit models, moderation effects, and heterogeneity analysis to examine the impact of digital technology cognition and climate risk on operators’ technology adoption behavior, as well as the underlying mechanisms. The findings reveal the following: First, digital technology cognition has a significant positive impact on the adoption of digital technologies, whereas climate risk perception and experiences with extreme weather significantly inhibit adoption behavior. Second, the perception of multidimensional barriers—comprising technical, economic, social, and policy obstacles—significantly moderates the positive effect of digital technology cognition on adoption behavior. Third, these effects exhibit significant heterogeneity across business scale, years in operation, and entity type. These conclusions remain valid after robustness tests and endogeneity control. This study enriches theories of agricultural technology diffusion and sustainable development from a climate resilience perspective, providing empirical evidence to promote the use of digital technologies for agricultural climate adaptation, refine differentiated extension policies, and enhance the level of agricultural sustainability.
H et al. (2026) studied this question.