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Spatiotemporal Analysis of the Carbon Footprint of Soybean Production in China Based on Life Cycle Assessment

Guoguo Ning, Fanhao Yang, Jianya Zhao, Shu Wang

Foods📚 査読済 / ジャーナル2026-06-02#炭素会計Origin: CN対象セクター: agriculture
DOI: 10.3390/foods15111979
原典: https://doi.org/10.3390/foods15111979

🤖 gxceed AI 要約

日本語

本研究はLCA手法を用いて中国の主要10省における大豆生産のカーボンフットプリントを2014~2023年のデータで解析。平均値は約528 kg CO2eq/haで、化学肥料と土壌N2Oが主要排出源。地域差が顕著であり、河南省などは低く、陝西省などは高い。

English

This study applies LCA to calculate the carbon footprint of soybean production across 10 major Chinese provinces from 2014-2023. Average footprint is 528 kg CO2eq/ha, with chemical fertilizers and soil N2O as main sources. Significant regional variation exists, with Henan low and Shaanxi high.

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

中国の大豆生産に焦点を当てた研究だが、日本の農業分野におけるLCA手法やカーボンフットプリント計測の参考になる。特に肥料由来の排出削減策は日本の農業政策にも示唆を与える。

In the global GX context

While focused on China, this paper provides a robust LCA methodology for agricultural carbon footprints that can be applied globally. The findings highlight chemical fertilizers as dominant emission sources, relevant for supply-chain decarbonization strategies.

👥 読者別の含意

🔬研究者:LCA methodology for agricultural carbon footprint and regional comparison across Chinese provinces.

🏢実務担当者:Insights into emission hotspots (fertilizers, soil N2O) for soy supply chain carbon reduction.

🏛政策担当者:Data-driven basis for agricultural green transition policies, especially fertilizer management.

📄 Abstract(原文)

Against the backdrop of global climate change and the “dual carbon” goals, the issue of agricultural greenhouse gas emissions has garnered increasing attention. As a major grain and oilseed crop in China, carbon emissions from soybean production have a significant impact on the green and low-carbon development of agriculture. Although research on agricultural carbon footprints has grown in recent years, existing studies have largely focused on single regions or specific stages of crop production, and analyses of the carbon footprint of production systems in China’s major soybean-producing regions remain relatively limited. This study employs the Life Cycle Assessment (LCA) methodology to calculate and analyze the carbon footprint of soybean production systems across China’s 10 major soybean-producing provinces, utilizing agricultural input data from 2014 to 2023. The study establishes a carbon footprint accounting system based on two key aspects: carbon emissions from agricultural inputs and soil N2O emissions. It further analyzes the temporal trends, regional variations, and contribution characteristics of each component within the carbon footprint. The results indicate that the average carbon footprint of soybean production in China is approximately 528 kg CO2eq/ha (ranging from 273 to 855) and 0.25 CO2eq/kg of soybean (ranging from 0.13 to 0.46). Specifically, the carbon footprint per unit of area and yield declined simultaneously, indicating a continuous improvement in the low-carbon efficiency of soybean production. Spatially, there are significant regional differences in the carbon footprint of soybean production. Henan, Anhui, and Inner Mongolia have relatively low carbon footprints, while Shaanxi and Shanxi have relatively high levels. In terms of composition, chemical fertilizer inputs and soil N2O emissions are the primary sources of the carbon footprint in soybean production, with chemical fertilizer inputs being the largest source, accounting for approximately 40–60%, and soil N2O emissions being the second major source. Overall, differences among regions in natural conditions, agricultural input structures, and production methods result in distinct regional characteristics in the carbon footprint composition. The findings of this study provide a scientific basis for the low-carbon transition of China’s soybean production system and serve as a reference for the formulation of policies related to green agricultural development.

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