gxceed
← 論文一覧に戻る

Does climate change respond to government digitization? Empirical evidence from greenhouse gas emissions

気候変動は政府のデジタル化に反応するか?温室効果ガス排出からの実証的証拠 (AI 翻訳)

Yemin Ding, Lee Chin, Piratdin Allayarov, Judit Oláh, Yongze Yu

International Journal of Climate Change Strategies and Management📚 査読済 / ジャーナル2026-05-07#政策Origin: Global
DOI: 10.1108/ijccsm-07-2025-0248
原典: https://doi.org/10.1108/ijccsm-07-2025-0248
📄 PDF

🤖 gxceed AI 要約

日本語

本研究は130カ国の2002~2021年のパネルデータを用いて、政府のデジタル化が温室効果ガス排出量を増加させることを実証。そのメカニズムとして電力消費増大、全要素生産性向上、ビジネスデジタル化促進を特定し、エネルギー安全保障リスクや経済政策不確実性、与党イデオロギーが効果を修飾することを示した。低排出国では効果がなく、高排出国で顕著である。

English

This study uses panel data from 130 countries (2002-2021) to demonstrate that government digitization significantly increases GHG emissions. It identifies mechanisms: increased electricity consumption, improved total factor productivity, and promoted business digitization. Effects are moderated by energy security risk, economic policy uncertainty, and ruling party ideology, and are pronounced only in high-emission countries.

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

日本は政府DXを推進中だが、本結果はデジタル化が排出増加につながる可能性を示唆する。日本ではエネルギー政策とデジタル戦略の連携が重要であり、SSBJ開示においてもデジタル化の環境影響を考慮する必要がある。

In the global GX context

This paper challenges the assumption that government digitization automatically reduces emissions, offering global evidence on trade-offs. For international GX policy, it highlights the need to align digital transition with decarbonization goals, especially in high-emission economies.

👥 読者別の含意

🔬研究者:Provides robust cross-country evidence on the emission-enhancing mechanisms of government digitization, urging further study on contextual factors.

🏢実務担当者:Highlights the risk that digitization initiatives may increase emissions without complementary energy efficiency measures, informing corporate sustainability strategies.

🏛政策担当者:Suggests that digital government strategies should integrate emission reduction targets and account for energy security risks and political contexts.

📄 Abstract(原文)

Purpose Against the backdrop of global digitization and accelerating climate change, this study aims to examine how government digitization affects greenhouse gas (GHG) emissions, highlighting its environmental tradeoffs under different economic and political conditions. Design/methodology/approach Using panel data from 130 countries over the period 2002–2021, a fixed-effect model examines the effect of government digitization on GHG emissions. After robustness checks, three fixed-effect models with interaction terms explore the underlying mechanisms. Group tests then investigate the moderating roles of energy security risk, economic policy uncertainty and ruling party ideology. Finally, quantile regression reveals how this effect varies by national emission levels. Findings Government digitization significantly increases GHG emissions, with benchmark estimation showing a specific magnitude: each 0.1-unit increase in government digitization is associated with an average increase of 0.0023 Mt CO2e in GHG emissions. This emission-enhancing effect operates through rising electric power consumption, improved total factor productivity and promoted business digitization. This effect is further moderated by energy security risk, economic policy uncertainty and ruling party ideology. Quantile regression reveals that this effect is statistically insignificant in low-emission countries, but becomes increasingly associated with higher GHG emissions as national emission levels rise. Originality/value This study advances the literature by challenging the prevailing belief that government digitization is inherently emission-reducing. It reveals potential emission-enhancing mechanisms and investigates how diverse economic and political factors shape these outcomes, thereby offering a more nuanced understanding and providing theoretical and practical insights for the design of environmentally sustainable digital governance strategies.

🔗 Provenance — このレコードを発見したソース

🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録(無料・3キーワードまで)。

gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。