伝統的生産から低炭素転換へ：デジタル経済が農業炭素排出に与える影響
From traditional production to low-carbon transformation: the impact of the digital economy on agricultural carbon emissions (原題)
Fuchun Yang, Chen Luo, Jinbo Du
🤖 gxceed AI 要約
日本語
中国30省のパネルデータ（2011-2021）を用い、デジタル経済（DE）が農業炭素排出（ACE）に与える影響を固定効果・SYS-GMM・空間ダービンモデルで分析。DEは域内ACEを有意に削減し、農業技術革新と全要素生産性向上が経路。隣接地域への波及抑制効果も確認。東部・中部や大規模経営地域で効果が大。
English
Using panel data from 30 Chinese provinces (2011-2021), this study examines the impact of the digital economy (DE) on agricultural carbon emissions (ACE) via fixed-effects, SYS-GMM, and Spatial Durbin models. DE significantly reduces local ACE through agricultural technological innovation and TFP improvements, with spatial spillover reducing emissions in neighboring regions. Effects are stronger in eastern/central regions and areas with large-scale farming.
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
日本の農業分野では、スマート農業やデジタル技術活用による低炭素化が注目される。本研究成果は、地域間連携や技術革新の役割を示し、日本の農業政策や地域振興に示唆を与える。
In the global GX context
This study provides empirical evidence on how digitalization can drive agricultural decarbonization, relevant to global discussions on climate-smart agriculture and digital transformation. The spatial spillover findings highlight the importance of regional coordination in emission reduction, offering insights for policy design beyond China.
👥 読者別の含意
🔬研究者:Provides empirical evidence on the mechanisms linking digital economy to agricultural carbon reduction, including spatial spillovers.
🏢実務担当者:Highlights the potential of digital technologies and innovation in reducing agricultural carbon footprint, useful for agri-business sustainability strategies.
🏛政策担当者:Suggests that promoting digital economy and regional cooperation can enhance agricultural emission reductions, informing policy design.
📄 Abstract（原文）
Introduction The rapid development of the digital economy is reshaping traditional agricultural production models, providing new opportunities for low-carbon agricultural transformation. However, the mechanisms through which the digital economy affects agricultural carbon emissions remain underexplored. Methods Based on panel data from 30 Chinese provinces during 2011–2021, this study employs a fixed-effects model, the SYS-GMM model, and a Spatial Durbin Model (SDM) to systematically examine the impact of DE on agricultural carbon emissions (ACE) from both local mitigation and spatial spillover perspectives. Results DE significantly reduces ACE within the region, with agricultural technological innovation and improvements in agricultural total factor productivity serving as important transmission mechanisms through which the emission reduction is achieved. Furthermore, the development of DE also exerts a significant inhibitory effect on carbon emissions in neighboring regions, thereby promoting coordinated regional emission reduction. Moreover, the carbon reduction effect exhibits significant regional heterogeneity, with stronger total effects observed in eastern and central regions as well as in areas with higher levels of large-scale agricultural operation. Discussion This study reveals the dual role of DE in facilitating local emission reduction and regional low-carbon coordination, thereby extending the research perspective on the relationship between DE and agricultural lowcarbon transformation. The findings also provide important policy implications for promoting green and low-carbon agricultural development and strengthening regional collaborative governance.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3389/fsufs.2026.1891832first seen 2026-08-27 05:00:39
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