デジタル村技術と中国の低炭素農業パフォーマンス：スーパー効率SBMと省別パネルデータを用いた応用評価
Digital Village Technologies and Low-Carbon Agricultural Performance in China: An Applied Evaluation Using Super-Efficiency SBM and Provincial Panel Data (原題)
Yuming Li, Liudi Li, Xiuguang Bai, Bo Wei, Jing Zhang
🤖 gxceed AI 要約
日本語
本研究は、中国30省の2011〜2023年のパネルデータを用いて、農村デジタル技術システムと農業炭素排出効率の関連を検証した。スーパー効率SBMモデルで炭素効率を測定し、固定効果モデル等で分析した結果、デジタル技術は農業炭素効率を向上させることが示された。農業技術革新と社会化サービスが経路として機能し、財政支援が条件となる。
English
Using panel data from 30 Chinese provinces (2011-2023), this study examines the link between rural digital technology systems and agricultural carbon emission efficiency. Employing a super-efficiency SBM model and fixed-effects regressions, it finds that digital village technologies significantly improve low-carbon agricultural performance, with agricultural innovation and socialized services as channels and fiscal support as a moderating condition.
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の活用が進むが、炭素効率との関連を実証した研究は少ない。本稿の枠組みは、日本の農業におけるデジタル化と脱炭素の連携を評価する際の参考となる。ただし、中国の制度や地形条件が異なるため、適用には注意が必要。
In the global GX context
This paper contributes to the global literature on digital agriculture and low-carbon transition by providing empirical evidence from China. It offers a methodological framework that can be adapted to assess digital technology impacts on agricultural carbon efficiency in other countries, relevant for climate policy and sustainable agriculture discussions.
👥 読者別の含意
🔬研究者:農業分野におけるデジタル技術と炭素効率の実証分析の方法論を提供。
🏢実務担当者:農業関連企業や自治体がデジタル技術投資の脱炭素効果を評価する際の参考。
🏛政策担当者:農業のデジタル化と低炭素化を結びつける政策設計に示唆を与える。
📄 Abstract（原文）
Digital technologies are increasingly integrated into agricultural production, rural services, finance, and information infrastructure, creating opportunities to improve low-carbon agricultural performance. This study develops an applied evaluation framework linking rural digital technology systems with agricultural carbon emission efficiency. Using panel data from 30 Chinese provinces during 2011–2023, we construct a digital village technology index covering digital infrastructure, digital financial infrastructure, digital service platforms, and digital living scenarios. Agricultural carbon emission efficiency is measured using a super-efficiency slacks-based measure (SBM) model incorporating inputs, desirable output, and undesirable carbon emissions. Two-way fixed-effects models, instrumental-variable estimation, mediation tests, moderation analysis, and heterogeneity tests are then employed. The results show that rural digital technology systems are positively associated with agricultural carbon emission efficiency. Agricultural technological innovation and agricultural socialized services are examined as potential channels, and fiscal support for agriculture is considered as an institutional condition that may shape the DVC–ACEE relationship. The subgroup results suggest that this association is more evident in flat-terrain and large-/medium-urban-scale regions. This study provides an applied framework for evaluating how digital infrastructure and service systems are linked to low-carbon agricultural transformation.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/app16178752first seen 2026-09-05 05:11:12
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