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Agroforestry as a Climate Resilience Adaptation Strategy for Sustainable Agricultural Output: Evidence From China and Europe

アグロフォレストリーを気候回復力適応戦略とした持続可能な農業生産：中国と欧州からのエビデンス (AI 翻訳)

Pengyun Qiu, Ximeng Liu

Land Degradation and Development📚 査読済 / ジャーナル2026-05-03#気候科学Origin: CN
DOI: 10.1002/ldr.70640
原典: https://doi.org/10.1002/ldr.70640

🤖 gxceed AI 要約

日本語

気候変動が農業生産と食料安全保障に与える影響を、中国とEUの時系列データを用いて分析。気候ショックは中国で農業生産性を低下させ食料依存度を高める一方、EUでは農業生産と食料依存度の両方を減少させる。農業由来の炭素排出は中国で生産性を向上させるが食料依存度を低下させ、EUでは生産性を刺激する。スマート農業技術の導入を政策提言。

English

This study assesses the impact of climate shocks and agricultural emissions on agricultural productivity and food dependency in China and the EU using time series data and FMOLS/DOLS methods. Climate shocks decrease productivity and increase food dependency in China, while in the EU they reduce both output and food dependency. Carbon emissions boost productivity in both regions but reduce food dependency in China. Policy recommendations include accelerating smart agriculture technologies.

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

本研究は中国とEUを対象に気候変動の農業への影響を実証分析しており、日本農業への応用可能性がある。日本の農業分野でも気候適応策としてスマート農業や炭素排出削減が議論されており、比較研究として参考になる。

In the global GX context

This paper provides comparative empirical evidence on climate impacts on agriculture across China and the EU. For global GX context, it highlights the role of agricultural emissions and adaptation strategies, relevant to climate resilience and food security discussions under frameworks like the Paris Agreement.

👥 読者別の含意

🔬研究者:Researchers in agricultural climate impacts will find the comparative FMOLS/DOLS methodology and results for China and EU useful.

🏛政策担当者:Policymakers in agriculture and food security can use the evidence for designing climate adaptation policies and promoting smart agriculture.

📄 Abstract（原文）

ABSTRACT Climate change is urgent and has multifaceted impacts on agricultural production and the national food security system, especially in climate‐vulnerable agricultural economies. The present study assesses the role of climate shocks and agricultural emissions in agricultural productivity and food dependency in China and the European Union (EU). Using the time series data, it adopted the fully modified ordinary least squares (FMOLS) and dynamic ordinary least squares (DOLS) methods in empirical estimation. The results show that climate shocks increase (decrease) food dependency (agricultural productivity) in China, whereas climate change decreases agricultural output and food dependency in the EU. On the one hand, agricultural carbon emissions boost (decline) agricultural productivity (food dependency) in China and stimulate it in the EU. In the robust analysis, the canonical cointegrating regression (CCR) confirms the results of the regression. Overall, the study provides comprehensive and cohesive climate policies for sustainable food supplies and agricultural production. From a policy suggestion, China and the EU need to accelerate the adoption of smart agriculture technologies—such as precision farming, digital monitoring systems, climate forecasting tools, and data‐driven irrigation—to enhance input efficiency, reduce environmental externalities, and stabilize production under climate uncertainty.

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