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The Impact of Climatic Variables on Food Production in Afghanistan: The Role of Green Energy

アフガニスタンの食料生産に対する気候変数の影響：グリーンエネルギーの役割 (AI 翻訳)

Sayed Alim Samim, Abdul Qadir Nabizada, Miraqa Hussain Khail, Zhiquan Hu, Sebastian Stępień

Climate📚 査読済 / ジャーナル2026-04-28#気候科学
DOI: 10.3390/cli14050094
原典: https://doi.org/10.3390/cli14050094

🤖 gxceed AI 要約

日本語

本研究は、アフガニスタンにおける気候変数とグリーンエネルギーが食料生産に与える影響をNARDLモデルで分析。グリーンエネルギーとCO2排出の非対称的な影響や、気温上昇が生産を減少させる一方、降水とグリーンエネルギーが生産を促進することを発見。気候スマート農業とグリーン技術の重要性を示唆。

English

This study uses NARDL to analyze asymmetric impacts of green energy and climate variables on food production in Afghanistan. It finds that temperature reduces production, while precipitation and green energy increase it. CO2 emissions harm long-term production. The paper recommends climate-smart agriculture and green technology adoption.

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

アフガニスタンという紛争影響国でのグリーンエネルギーと食料安全保障の関連性を実証。日本の国際協力やSDGs文脈で参考になるが、直接的なGX政策（例：SSBJ）への示唆は限定的。

In the global GX context

This paper provides empirical evidence from a climate-vulnerable, conflict-affected country, contributing to the global literature on climate-smart agriculture and green energy's role in food security. While not directly tied to corporate disclosure frameworks, it underscores the importance of green technology in adaptation strategies.

👥 読者別の含意

🔬研究者:Offers a case study applying NARDL to climate-agriculture linkages in a fragile state, useful for researchers studying asymmetric impacts and green energy adoption.

🏛政策担当者:Highlights the need for climate-resilient agriculture and green energy investments in vulnerable regions, informing development and adaptation policies.

📄 Abstract（原文）

Afghanistan is highly vulnerable to the effects of climate change, which poses significant challenges to food security and environmental systems. To mitigate these challenges and promote sustainable development, it is important to adopt an integrated method that promotes food production and climate resilience for environmental sustainability. This manuscript aims to estimate the decoupling impact of green energy on CO2 emissions and food crop production in Afghanistan, with a focus on promoting Sustainable food production. In this research article, the Nonlinear Auto Regressive Distributed Lag (NARDL) model was used to estimate data from 1996 to 2021 in Afghanistan. The NARDL bounds test confirms a stable long-run equilibrium relationship between climatic factors and food crop production. The long-run results reveal an asymmetric decoupling impact of green energy on CO2 emission and food crop production. Specifically, a 1% positive or negative shock in the interaction between green energy and CO2 emissions produces different outcomes for food crop production. Increasing temperature tends to decrease food production, while precipitation increases food production over the long term. Furthermore, raising CO2 emissions negatively affects long-term food production, while greater use of green energy contributes to food production in the future. These findings underscore the need to adopt climate-resilient technologies, including climate-smart agriculture, to help farmers withstand the adverse effects of climate change. In addition, to ensure long-term stability in food production, Afghanistan should prioritize the development of green technologies. This approach would reduce agriculture’s dependence on fossil fuels and foster the growth of sustainable agricultural industries.

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