Digital Economy, Policy Tools, and Carbon Reduction: Theoretical Mechanisms and Global Empirical Tests
デジタル経済、政策手段、炭素削減：理論的メカニズムとグローバル実証テスト (AI 翻訳)
Li Jinghan
🤖 gxceed AI 要約
日本語
本研究は、デジタル経済と炭素排出量の逆U字型関係をグローバルデータで実証。初期のインフラ拡大で排出増加後、技術浸透と産業構造最適化により炭素削減効果が優位となる。政策手段（炭素税、排出権取引、補助金）がその効果を強化。GBDTを用いた頑健性確認。
English
This study empirically demonstrates an inverted-U relationship between digital economy and carbon emissions using global data. Initially, emissions rise due to infrastructure expansion, but eventually the carbon-reducing effects dominate. Policy instruments (carbon taxes, trading, subsidies) enhance these effects. Robustness checked via GBDT.
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DXとGXの統合が進んでおり、本論文はデジタル経済が炭素削減に与える非線形効果と政策の役割を提示。日本のデジタル政策とカーボンプライシング設計に示唆を与える。
In the global GX context
Globally, the study informs the timing of digital economy's carbon benefits and the role of policy instruments, contributing to debates on carbon pricing integration with digital transformation.
👥 読者別の含意
🔬研究者:Provides empirical evidence on digital economy-carbon emissions nonlinearity and policy moderation, useful for future research on green digitalization.
🏢実務担当者:Offers insights that early digital investments may increase emissions, but long-term benefits emerge with technology diffusion and policy support.
🏛政策担当者:Highlights how carbon taxes, trading, and green subsidies can amplify the carbon reduction effect of the digital economy.
📄 Abstract（原文）
Against the backdrop of global climate change and the "dual carbon" targets, the digital economy, as a new economic paradigm, is profoundly reshaping carbon emission patterns and pathways for green transformation. This study constructs a global empirical model linking the digital economy and carbon emissions, systematically examining the relationships among the digital economy, policy instruments, and carbon reduction from the perspectives of nonlinear mechanisms and chain transmission pathways. The results indicate a significant inverted-U relationship between the digital economy and carbon emissions: in the early stages of development, carbon emissions increase due to infrastructure expansion, but as technological penetration deepens and industrial structures optimize, the carbon-reducing effects of the digital economy gradually emerge and eventually dominate. Policy instruments can further enhance the carbon mitigation effects of the digital economy. The robustness of these findings is confirmed through econometric models and machine learning methods (GBDT). From a policy perspective, this study analyzes the mechanisms through which carbon taxes, carbon trading, and green subsidies influence the green transformation of the digital economy and proposes recommendations for optimizing the policy framework. The research provides theoretical foundations and policy insights for leveraging the digital economy to drive global carbon reduction.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.30560/rfm.v7n1p90first seen 2026-07-17 04:51:33
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