生态经济

农业信息化为提升农业气候韧性水平提供了新路径，对于推进农业高质量发展具有重要意义。论文基于2007—2023年中国省域面板数据，从信息分异视角综合运用熵值法、双向固定效应模型、系统广义矩估计等方法，实证探究农业气候韧性时空特征及农业信息化对其的影响程度与作用机制。研究结果表明：农业信息化对农业气候韧性水平提高有显著促进作用。交通基础设施与农业产业结构升级在农业信息化促进农业气候韧性水平提高中发挥调节作用；农业信息化通过抑制农业碳排放提升农业气候韧性。此外，农业信息化对农业气候韧性的影响呈现主产区优于非主产区的空间分异规律，且在高韧性区更有效。农业信息基础设施对农业气候韧性的溢出效应更高，而信息服务则相反。因此，应强化农业信息化顶层设计，促进信息基础设施与服务协同发展，并多路径运用差异化措施分层推进农业信息化赋能农业气候韧性提升。

Agricultural informatization (AI) provides a new pathway for enhancing agricultural climate resilience (ACR)， holding significant importance for high-quality agricultural development. Based on provincial panel data from China between 2007 and 2023， this study empirically investigates the influencing mechanism of AI on ACR from the perspective of information differentiation， employing methods such as the entropy method， two-way fixed effects models， and SYS-GMM. The findings are as follows: AI significantly promotes ACR. Transport infrastructure and the upgrading of agricultural industrial structure play a regulatory role in the improvement of ACR driven by AI. Additionally， AI can mitigate the impact of agricultural carbon emissions negatively on ACR. Furthermore， the impact of AI on ACR exhibits a spatial differentiation pattern where major production areas outperform non-major ones， and it proves to be more effective in regions with high ACR. The spatial spillover effect demonstrates that the information infrastructure exerts a more pronounced spillover effect on ACR， whereas the inverse holds for information services. Therefore， it is essential to strengthen the top-level design of AI， promoting the coordinated development of infrastructure and services. By adopting differentiation measures through multiple pathways to advance in a phased and hierarchical manner， thereby enabling the upgrading of ACR with AI.