Measuring carbon footprints of major crops in China: spatial distribution features and carbon burdens from both production and consumption perspectives
中国における主要農作物のカーボンフットプリントの測定：生産と消費の両視点からの空間分布特徴と炭素負担 (AI 翻訳)
Yifan Wu, Meng Li, Jingyu Liu, Yong Geng
🤖 gxceed AI 要約
日本語
本論文は、中国31省の6大作物の二酸化炭素換算排出量を生産ベースと消費ベースの両方から分析するため、部門別マルチリージョン産業連関（MRIO）モデルを構築した。結果、生産ベース排出は黒竜江省、河南省、湖南省に集中し、消費ベース排出は広東省、上海市、北京市に集中している。作物別では、河南省、江蘇省、山東省、河北省で小麦排出の64.76%を占め、黒竜江省だけで大豆排出の約33.6%を占める。これらの知見は、地域特化型の農業炭素削減戦略に有用である。
English
This study constructs a sectoral multi-regional input–output (MRIO) model to assess agricultural CO₂e emissions from both production and consumption perspectives for six major crops across 31 Chinese provinces. Results show production-based emissions concentrated in Heilongjiang, Henan, and Hunan, while consumption-based emissions concentrated in Guangdong, Shanghai, and Beijing. Crop-specific analysis reveals that Henan, Jiangsu, Shandong, and Hebei contribute 64.76% of wheat production emissions, and Heilongjiang alone accounts for 33.6% of soybean emissions. These findings inform region-specific agricultural carbon mitigation policies.
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
中国の農業炭素排出を地域別・作物別に詳細に分析した本論文は、日本でも農業分野のカーボンニュートラル戦略（みどりの食料システム戦略など）への応用可能性がある。特に、生産・消費両ベースの排出構造をMRIOで捉える手法は、日本国内の都道府県間の食料供給による炭素負担の評価に参考となる。
In the global GX context
This paper provides a detailed spatial and crop-level analysis of agricultural carbon emissions in China, offering a methodological template for region-specific mitigation strategies globally. Its MRIO approach capturing both production- and consumption-based emissions is applicable to any country with subnational agricultural data, including Japan, for designing supply-chain-aware decarbonization policies.
👥 読者別の含意
🔬研究者:Provides a robust MRIO methodology and empirical data on agricultural carbon footprints at subnational scale, valuable for researchers in carbon accounting and regional climate policy.
🏢実務担当者:Agricultural firms and supply chain managers can use the production/consumption-based emission insights to identify hotspots and develop targeted reduction strategies.
🏛政策担当者:Region-specific emission patterns revealed in this study can guide subnational agricultural carbon mitigation policies and inter-provincial compensation mechanisms.
📄 Abstract（原文）
Abstract Due to imbalanced economic development and agricultural structure, agricultural goods and their embodied carbon emissions present significant disparities in different Chinese provinces. This study constructs a sectoral multi-regional input–output (MRIO) model to account for agricultural carbon dioxide equivalent (CO₂e) emissions from both production and consumption-based perspectives. This model integrates crop-specific emission factors for six major crops across 31 Chinese provinces. The results show that production-based emissions are mainly concentrated in Heilongjiang (47.7 Tg CO₂e), Henan (49.57 Tg CO₂e), and Hunan (44.39 Tg CO₂e), while consumption-based emissions are mainly concentrated in Guangdong (57.84 Tg CO₂e), Shanghai (34.12 Tg CO₂e), and Beijing (17.97 Tg CO₂e). From a crop type perspective, Henan, Jiangsu, Shandong, and Hebei contributed 64.76% of the total wheat production emission, while Heilongjiang alone accounted for approximately 33.6% of the total soybean production emission. Both Guangdong (12.06 Tg CO₂e) and Shanghai (12.71 Tg CO₂e) heavily relied on major crop producing regions, while Jiangsu had a limited value-added outflow, even though with a net carbon outflow of 9.98 Tg CO₂e. These findings provide valuable insights on preparing region-specific agricultural carbon mitigation strategies.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1007/s43979-026-00175-wfirst seen 2026-06-19 05:02:49
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