An empirical study of the impact of environmental regulation on the eco-efficiency of digital agriculture: a quasi-natural experiment based on China’s carbon emissions trading pilot policy
環境規制がデジタル農業のエコ効率に与える影響に関する実証研究：中国の炭素排出権取引パイロット政策に基づく準自然実験 (AI 翻訳)
Zhaoyang Lu, Diao Gou, Hailong Feng, Jianglai Dong, Nan Li
🤖 gxceed AI 要約
日本語
本研究は中国の炭素排出権取引パイロット政策がデジタル農業のエコ効率に与える影響を検証。動的DEA-Malmquist指数とDIDモデルを用いて2011～2022年の30省のパネルデータを分析した結果、政策がエコ効率を向上させ、森林被覆率が媒介効果を持つことが明らかになった。地域差や発展段階による異質性も確認され、農業の低炭素化政策への示唆を提供する。
English
This study examines the impact of China's pilot carbon emissions trading policy on the eco-efficiency of digital agriculture. Using dynamic DEA-Malmquist and DID models on panel data from 30 Chinese provinces (2011-2022), it finds that the policy significantly improves eco-efficiency, with forest coverage as a mediator. Heterogeneity across regions and development levels is also identified, offering insights for low-carbon agricultural 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
日本では炭素価格政策と農業デジタル化の連携はまだ限定的だが、本論文の分析枠組みは日本の農業分野での排出削減政策設計や、SSBJ/TNFD関連の情報開示における農業セクターの評価に応用可能。ただし中国独自の制度を前提としており、直接適用には注意が必要。
In the global GX context
This paper adds empirical evidence on carbon pricing effectiveness in agriculture, a sector often underrepresented in climate policy literature. For global GX, it demonstrates how market-based instruments can boost eco-efficiency in digital agriculture, relevant to ISSB/SEC climate disclosure discussions around scope 1 and 3 emissions from land use. The mediation via forest coverage highlights synergies between carbon trading and nature-based solutions.
👥 読者別の含意
🔬研究者:Provides a quasi-experimental framework combining DEA and DID to evaluate policy impacts on agriculture eco-efficiency, useful for future causal studies.
🏢実務担当者:Digital agriculture firms can leverage findings to align with carbon trading mechanisms and improve eco-efficiency metrics for reporting.
🏛政策担当者:Offers evidence that carbon pricing can drive agricultural decarbonization, with heterogeneous effects suggesting tailored regional implementation.
📄 Abstract（原文）
Abstract Carbon emissions trading systems have become increasingly prevalent amid rising global climate concerns and serve as key market-based tools for sustainable transformation. Agriculture is central to advancing China’s “dual carbon” strategy, requiring both emission control and reduction, while rapid digital agricultural development enables more precise carbon monitoring and management. This study examines whether China’s pilot carbon emissions trading pilot policy improves the eco-efficiency of digital agriculture. Using the dynamic data envelopment analysis (DEA)-Malmquist index method, we construct an evaluative framework to measure digital agricultural eco-efficiency, and based on panel data from 30 Chinese provinces over the period 2011–2022, we employ a difference-in-differences (DID) model to identify the policy effects. The empirical findings demonstrate that the ecological efficiency of China’s digital agriculture has successfully increased because of the implementation of the pilot policy for carbon emissions trading, and this conclusion passes several robustness tests. Heterogeneity analysis indicates that the effects of the policy vary across regions and different levels of development of digital agricultural eco-efficiency. According to the results of the mediating effect analysis, the pilot carbon emissions trading pilot policy increases forest coverage, which in turn increases digital agricultural eco-efficiency. The results of this research offer guidance for promoting environmentally sustainable agricultural development in China and for supporting international initiatives aimed at lowering agricultural greenhouse gas emissions.
🔗 Provenance — このレコードを発見したソース
- crossref https://doi.org/10.1186/s13021-026-00449-xfirst seen 2026-05-14 23:11:58
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