Climate risk, land use degree, and agricultural digitalization
気候リスク、土地利用度、農業デジタル化 (AI 翻訳)
Shuxuan He, Ming Li, Rui Zhai
🤖 gxceed AI 要約
日本語
中国31省のパネルデータを用いて、気候リスクが農業デジタル化を抑制することを実証。土地利用度が調整効果を持ち、農業デジタル化とグリーン化の相乗効果が農業生産性を高める。沿岸部や高デジタル化地域で抑制効果が顕著。
English
Using panel data from 31 Chinese provinces, this paper finds that climate risk significantly inhibits agricultural digitalization, with land use degree playing a moderating role. There is a synergistic effect between agricultural digitalization and greening, boosting output. The negative impact is stronger in coastal and high-digitalization regions.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
中国の農業デジタル化と気候リスクの関係を実証。日本の農業DXや気候変動適応策に示唆を与える。特に土地利用最適化とデジタル基盤整備の重要性を強調。
In the global GX context
This empirical study on China's agricultural digitalization under climate risk offers insights for global climate adaptation strategies. The findings on the moderation of land use degree and synergy with greening are relevant for agricultural policy in many countries.
👥 読者別の含意
🔬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.
📄 Abstract（原文）
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.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3389/fsufs.2026.1862670first seen 2026-06-20 05:43:59
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