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持続可能な開発への道：グリーンファイナンスは農地のグリーン・低炭素利用効率にどう影響するか

Road to sustainable development: How does green finance affect cultivated land green and low-carbon use efficiency? (原題)

Hongyu Lyu, Yuxin Pan, Min Zhou, Yu-Xiao Han

Journal of Cleaner Production📚 査読済 / ジャーナル2026-09-15#気候金融Origin: CN経営インパクト: 資金調達対象セクター: agriculture
DOI: 10.1016/j.jclepro.2026.149472
原典: https://doi.org/10.1016/j.jclepro.2026.149472

🤖 gxceed AI 要約

日本語

中国202都市・2011〜2023年のパネルデータを用い、DIDモデルでグリーンファイナンス（GF）が農地のグリーン・低炭素利用効率（CLGUE）に与える影響を検証。GFはCLGUEを平均0.0494押し上げ、約450kmの空間スピルオーバー効果を持つ。農業インフラ、農業グリーン企業、デジタル包摂金融が媒介メカニズムとして示唆される。

English

Using panel data from 202 Chinese cities (2011–2023) and a DID model, this study examines how green finance (GF) affects cultivated land green and low-carbon use efficiency (CLGUE). GF significantly raises CLGUE by 0.0494 on average, with spatial spillovers extending ~450 km. Agricultural infrastructure, green agri-enterprises, and digital inclusive finance are identified as mechanisms.

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GX文脈では直接の接続は薄いが、地域金融・農業政策を通じた脱炭素投資の効果測定手法は、日本の地域脱炭素・GX推進機構の投融資評価に示唆を与える。

In the global GX context

Adds to the global literature on how green finance instruments translate into measurable decarbonization outcomes at subnational scale, relevant to transition finance debates on verifying real-economy impact beyond disclosure.

👥 読者別の含意

🔬研究者:グリーンファイナンスの実体経済・脱炭素効果を空間計量で測る手法の参考になる。

🏢実務担当者:農業・食品サプライチェーン企業が地域金融やデジタル金融を通じた低炭素化投資の便益を検討する材料。

🏛政策担当者:地域金融政策と農業インフラ投資を組み合わせた農地脱炭素化の設計に示唆。

📄 Abstract（原文）

Growing evidence indicates that conventional cultivated land use practices aimed at maximizing grain production have resulted in land degradation, declining productivity, and increasing environmental pressures. Improving cultivated land green and low-carbon use efficiency ( CLGUE ) is therefore critical for achieving a balance between food security and ecological sustainability. Based on panel data from 202 prefecture-level cities in China during 2011 to 2023, this study employs a difference-in-differences (DID) model to empirically examine the impact of green finance ( GF) on CLGUE . The main findings are as follows: (1) CLGUE in China demonstrates an overall upward trend, rising by 39.34% during the study period. High-efficiency areas are concentrated in northeast China and central–western transitional zones, while low-efficiency clusters are predominantly distributed in eastern coastal regions. (2) GF significantly promotes CLGUE , increasing it by 0.0494 on average. The finding remains valid under a set of robustness tests. (3) GF generates significant positive spatial spillover effects on CLGUE , with the spatial spillover range extending approximately 450 km (4) Mechanism analysis reveals that agricultural infrastructure construction ( AIC ), agricultural green enterprises ( AGE ), and digital inclusive finance ( DIF ) may serve as potential mechanisms through which GF enhances CLGUE . (5) The positive impact of GF exhibits significant heterogeneity. Specifically, the positive effects are stronger in resource-based cities, non-major grain-producing areas, regions with higher agricultural insurance coverage, and areas located east of the Hu Line. These findings provide valuable insights for policymakers seeking to optimize green finance policies and accelerate the green and low-carbon transformation of cultivated land use.

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