農業の分解的影響がCO2排出に与える効果：南米における持続可能な農業転換での再生可能エネルギーの役割
Disaggregated Agricultural Impacts on CO 2 Emissions: The Role of Renewable Energy in Sustainable Agricultural Transformation in South America (原題)
Sohidul Islam, Abdikani Salah Abdulle, Md. Mustaqim Roshid, Mohammad Sariful Islam, Abdullahil Mamun, Shahanara Basher, Nazamul Hoque, Mohammad Rizwan Hasan, Md Amzad Hossain
🤖 gxceed AI 要約
日本語
南米1990〜2023年を対象に、農業付加価値・肥料・米・畜産・耕地拡大・再エネがCO2排出に与える影響をMMQRとSQRで分析。肥料・米作・耕地拡大は排出を増やし、再エネ消費は全分位で排出を抑制。農業バリューチェーンの低炭素構造転換と投入効率改善の必要性を示す。
English
Using MMQR and SQR for South America (1990–2023), the study disaggregates agricultural drivers of CO2 emissions. Fertilizer use, rice production and cropland expansion raise emissions, while renewable energy consistently lowers them across quantiles. It argues for low-carbon restructuring of agricultural value chains and input efficiency.
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
南米農業という地域事例だが、再エネ導入と投入効率が排出を左右する構図は、日本の食品・アグリ企業のScope 3（カテゴリ1農産物）算定や調達戦略を考える際の参照材料になる。
In the global GX context
Adds sectoral evidence to the global disclosure agenda: agriculture is a major Scope 3 hotspot under GHG Protocol/CSRD, and the quantile findings support renewable integration and input efficiency as levers for supply-chain decarbonization targets.
👥 読者別の含意
🔬研究者:農業排出の分位別非対称性を示す実証手法（MMQR/SQR）と変数分解の設計が参考になる。
🏢実務担当者:農産物調達を持つ企業は、肥料・耕地拡大がScope 3排出を押し上げる点をサプライヤー評価に反映できる。
🏛政策担当者:農業政策と再エネ導入支援を組み合わせることで排出削減と生産性の両立が期待できる点を示唆。
📄 Abstract（原文）
ABSTRACT This study examines how disaggregated agricultural activities shape environmental performance and strategic transition pathways in South America over the period 1990–2023. Focusing on agricultural value added, fertilizer consumption, rice production, livestock production, cropland expansion, and renewable energy consumption, the study investigates how different dimensions of agricultural production influence CO 2 emissions and sustainability outcomes. To capture distributional heterogeneity and asymmetric effects across emission levels, the study employs Method of Moments Quantile Regression (MMQR) and Simultaneous Quantile Regression (SQR). The results reveal important asymmetries within agricultural systems. Agricultural value added and livestock production are negatively associated with CO 2 emissions; however, these associations should be interpreted cautiously, as they may reflect structural composition, productivity differences, changes in production systems, or country‐specific agricultural and energy conditions rather than direct evidence that these activities automatically reduce emissions. In contrast, fertilizer consumption, rice production, and cropland expansion significantly intensify emissions, indicating environmentally costly production strategies linked to input‐intensive and land‐expanding agricultural practices. Renewable energy consumption is consistently associated with lower CO 2 emissions across all quantiles, highlighting its role as an important pathway for low‐carbon transition within agribusiness systems. The findings underscore the need for a structural transformation of agricultural value chains toward low‐carbon production systems. Firms and agribusiness stakeholders must reorient production strategies by integrating renewable energy, optimizing input use efficiency, and reducing land‐intensive expansion models to enhance long‐term competitiveness under tightening environmental constraints. The study provides strategic insights for policymakers and agribusiness actors aiming to align agricultural development with climate resilience, sustainable competitiveness, and the Sustainable Development Goals (SDGs).
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1002/bsd2.70435first seen 2026-11-06 04:40:18
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