気候リスク、土地利用度、農業デジタル化

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

🔬研究者:Empirically examines the nonlinear relationship between climate risk and agricultural digitalization, highlighting the moderating role of land use degree.

🏢実務担当者:Highlights the need for optimizing land use and investing in digital infrastructure to enhance climate resilience in agriculture.

🏛政策担当者:Provides evidence for promoting coordinated digital and green transformation in agriculture to mitigate climate risk impacts.

全球气候系统正在发生深刻变化，极端天气事件日益频繁。增强农业系统的气候适应性现已成为国家粮食安全的核心议题。将气候风险与农业数字化趋势相结合，是积极应对气候变化、保障农业安全的重要举措。基于2012年至2020年中国31个省份的面板数据，本文采用熵值法测度农业数字化与农业绿色化水平，运用面板回归模型和调节效应模型，探讨气候风险、土地利用程度与农业数字化之间的非线性关联。实证结果表明，气候风险显著抑制农业数字化。这种负面影响在极端降雨和干旱条件下表现出强烈的破坏性和投资挤出特征。土地利用程度在此过程中发挥着显著的分阶段调节作用。在土地利用程度较低的地区，提高土地开发强度能够激发数字化转型潜力。此外，农业数字化与农业绿色化之间存在显著的互补协同红利。协同推进两者可直接增加农业产出。在气候风险较高的地区，这种三方协同对抵御产出损失具有更大的边际贡献。异质性分析显示，气候风险的抑制作用在沿海省份和高农业数字化地区更为明显。研究结果表明，气候风险对农业数字化构成挑战，但土地利用程度和农业数字化有助于缓解这些负面影响。地方政府应优化土地利用布局，推动农业数字化与农业绿色化的协同转型。构建高韧性数字基础设施体系对于增强农业气候适应性同样不可或缺。

AI 翻訳（deepseek-v4-flash）。 正確を期す場合は下の原文を参照してください。

Global climate systems are changing profoundly and extreme weather events are becoming more frequent. Enhancing the climate adaptation of agricultural systems is now a core issue for national food security. Combining the climate risk with the trend of agricultural digitalization is an important measure to actively address climate change and ensure agricultural security. Based on a panel data of 31 provinces from 2012 to 2020 in China, this paper conducts the entropy method to measure the levels of agricultural digitalization and agricultural greening, employs panel regression models and moderating effect models to explore the non-linear links between climate risk, land use degree, and agricultural digitalization. The empirical results indicate that climate risk significantly inhibits agricultural digitalization. This negative impact exhibits strong destructive and investment-crowding characteristics under extreme rainfall and drought. Land use degree plays a significant staged moderating role in this process. In regions with low land use degree, increasing land development intensity can stimulate digital transformation potential. Furthermore, a significant complementary synergy dividend exists between agricultural digitalization and agricultural greening. Promoting both can directly increase agricultural output. In regions with high climate risk, this three-way synergy makes a larger marginal contribution to resisting output losses. Heterogeneity analysis reveals that the inhibition from climate risk is more pronounced in coastal provinces and high agricultural digitalization regions. The findings suggest that climate risk poses a challenge to agricultural digitalization but land use degree and agricultural digitalization can help mitigate these negative impacts. Local governments should optimize land use layouts and promote the coordinated transformation of agricultural digitalization and agricultural greening. Building a high-resilience digital infrastructure system is also essential to enhance agricultural climate adaptation.

• openalex https://doi.org/10.3389/fsufs.2026.1862670first seen 2026-06-20 05:43:59