Scale or technology? Infrastructure configuration pathways toward low-carbon food systems in China
スケールか技術か？中国の低炭素食料システムに向けたインフラ構成経路 (AI 翻訳)
Mingtao Gao, Ubair Nisar, Cheng Li, Ziang Chen, Hawasli Ghalia, Shadab Ahmad
🤖 gxceed AI 要約
日本語
本研究は、中国30省の農業インフラ構成と炭素排出の関係をfuzzy-set QCAで分析。灌漑・交通・デジタル基盤・電化・栽培規模・技術進歩の組み合わせから、規模拡大型と技術進歩型の2つの低炭素経路を特定。地域別に異なる経路が優位であり、地域特性に応じた政策設計が必要と結論。
English
This study uses fuzzy-set Qualitative Comparative Analysis to examine how agricultural infrastructure configurations affect carbon intensity across 30 Chinese provinces. It identifies two main pathways to low-carbon food systems: scale expansion (combining water conservancy, transportation, and large-scale cultivation) and technological progress (combining digital infrastructure, water conservancy, and technology advancement). Regional heterogeneity calls for tailored policy interventions.
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
中国の農業分野における低炭素化経路の実証分析は、日本の農業GX政策（例：みどりの食料システム戦略）と比較する上で参考になる。異なるインフラ投資の優先順位が排出削減に与える影響を示唆。
In the global GX context
This paper contributes to global GX scholarship by providing empirical evidence on how infrastructure configurations can drive agricultural decarbonization in a major emerging economy. The fsQCA methodology offers a nuanced approach to understanding complex causal pathways, relevant for designing region-specific climate policies.
👥 読者別の含意
🔬研究者:Methodological contribution: fsQCA applied to agricultural carbon emissions, identifying equifinal pathways.
🏛政策担当者:Region-specific infrastructure strategies are crucial; no one-size-fits-all solution for low-carbon agriculture.
📄 Abstract（原文）
Introduction Food production systems are a significant source of carbon emissions, and optimizing agricultural infrastructure is crucial for advancing low-carbon food systems. This study investigates how different configurations of agricultural infrastructure contribute to lower carbon intensity in 30 Chinese provinces between 2013 and 2022. Methods We employ fuzzy-set Qualitative Comparative Analysis (fsQCA) to analyze the combined effects of farmland water conservancy, rural transportation, digital infrastructure, agricultural electrification, cultivation scale, and technological progress on agricultural carbon emissions. Results Our findings reveal that no single infrastructure type is necessary for emission reduction. Instead, two dominant pathways emerge. The scale expansion pathway involves the joint presence of farmland water conservancy, rural transportation, and large-scale grain cultivation. The technological progress pathway combines digital infrastructure, farmland water conservancy, and advances in grain production technology. The technological progress pathway demonstrates slightly stronger consistency (0.9813) than the scale expansion pathway (0.9674). Discussion Regional analysis shows that scale-driven pathways are more common in southeastern coastal provinces, whereas technology-driven pathways dominate in northwestern and southwestern regions. These findings provide actionable guidance for region-specific, policy-driven low-carbon transitions in Chinese agriculture.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3389/fsufs.2026.1775669first seen 2026-05-17 05:44:09
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