Digital-green synergistic transition, fiscal decentralization and regional green total factor productivity in agriculture
デジタル・グリーン相乗的移行、財政分権と農業の地域グリーン全要素生産性 (AI 翻訳)
Ting, Cao, Na, Xie, Wasifah, Hanim, Yulu, Qin
🤖 gxceed AI 要約
日本語
本研究は、中国の上場企業データを用いて、産業部門のデジタル・グリーン相乗的移行が農業のグリーン全要素生産性に与える影響を分析。結果、相乗的移行は農業生産性を有意に向上させ、グリーンイノベーションと適切な財政分権がそのメカニズムであることを示した。財政分権の閾値効果も確認。
English
Using Chinese A-share heavy-polluting firm data from 2012-2022, this study examines how digital-green synergistic transitions in industrial sectors affect agricultural green total factor productivity. Results show significant positive effects through green innovation and fiscal decentralization channels, with a threshold effect where decentralization above 0.4018 enhances the impact.
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
中国の財政分権と産業連関に焦点を当てた研究であり、日本の農業GX政策に直接応用するのは難しいが、異業種間のデータ再配分や制度設計の参考になる可能性がある。
In the global GX context
This paper contributes to the global literature on green productivity spillovers across sectors, highlighting the role of fiscal decentralization as a moderator. It offers insights for policymakers designing cross-industry green transition incentives, though the Chinese institutional context limits direct transferability.
👥 読者別の含意
🔬研究者:Researchers studying green total factor productivity or fiscal decentralization effects on environmental outcomes may find the threshold analysis and dual-channel mechanisms valuable.
🏛政策担当者:Policymakers in developing countries with decentralized fiscal systems can learn how to calibrate decentralization levels to maximize green productivity gains from digital-green transitions.
📄 Abstract（原文）
As a critical pathway to resolve the synergistic dilemma between industrial pollution abatement and sustainable agricultural development, the digital-green synergistic transformation exerts spillover effects on regional agricultural green total factor productivity through restructuring the factor endowment configurations of high-polluting enterprises. Employing a longitudinal dataset of Chinese A-share heavy-polluting firms spanning 2012-2022, this study systematically examines the impact of digital-green synergistic transitions within industrial sectors on agricultural green total factor productivity and their operational mechanisms. Empirical findings confirm that digital-green synergies significantly enhance agricultural green total factor productivity. Mechanism analyses reveal dual channels: First, from the green innovation perspective, this transformation elevates agricultural green total factor productivity by stimulating green management innovations among polluting enterprises. Second, regarding fiscal decentralization dynamics, appropriate decentralization positively moderates the agricultural green total factor productivity enhancing effect of digital-green transitions. Heterogeneity assessments indicate more pronounced agricultural green total factor productivity improvement in enterprises located in non-traditional industrial bases, coastal regions, and non-resource-dependent cities. Notably, a threshold effect exists for fiscal decentralization-when decentralization <0.4018, lagged digital-green transformation inhibits agricultural green total factor productivity, whereas decentralization ≥0.4018 converts this relationship into a promotional effect. These insights suggest policymakers should develop differentiated policy frameworks contingent upon fiscal decentralization elasticity. By optimizing cross-industry data reallocation incentives and institutional constraints, governments can effectively support agricultural green total factor productivity enhancement through multi-tier governance systems.
🔗 Provenance — このレコードを発見したソース
- openaire https://doi.org/10.1016/j.jenvman.2025.125382first seen 2026-05-05 19:07:13
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