Comparing the Effectiveness of Low-Carbon Policies: A Technology Diffusion Approach
低炭素政策の有効性比較：技術普及アプローチ (AI 翻訳)
Unnada Chewpreecha, Francesca de Nicola, Aaditya Mattoo, Hector Pollitt, Trang Thu Tran
🤖 gxceed AI 要約
日本語
本論文は、低炭素技術の普及を促進する政策手段の有効性を技術普及理論に基づき分析。東アジア4経済を対象に、価格型（炭素税・補助金）と非価格型（規制・義務）の手段が技術普及と排出削減に与える影響を、経路依存性や学習効果を考慮して評価。政策のタイミングと順序が重要であり、初期段階では非価格型手段が有効で、その後炭素価格の効果を高めることを示す。
English
This paper assesses the effectiveness of price-based (carbon taxes, subsidies) and non-price-based (mandates, regulations) policy instruments in accelerating low-carbon technology diffusion across four East Asian economies. Using a technology diffusion model that accounts for path dependence and learning, it finds that non-price instruments are more effective in early stages, later enhancing the impact of carbon pricing. Optimal policy mixes depend on technological maturity and local conditions.
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、GX実現に向けて炭素価格と規制の組み合わせが議論されている。本論文は、技術普及の段階に応じた政策の順序と組み合わせの重要性を実証的に示しており、日本のGX政策設計（特に炭素価格導入のタイミングと補完的規制）に直接的な示唆を与える。
In the global GX context
Globally, this paper contributes to the ongoing debate on optimal policy mixes for low-carbon transitions. By integrating technology diffusion dynamics, it offers a nuanced framework for understanding when carbon pricing works best and how regulatory policies can pave the way. The findings are relevant for national and subnational governments designing climate policy packages, especially in emerging economies.
👥 読者別の含意
🔬研究者:Provides a modeling framework that incorporates path dependence and learning in technology diffusion, offering a more realistic assessment of policy effectiveness.
🏢実務担当者:Helps corporate sustainability teams understand how policy timing and sequencing can influence the adoption of low-carbon technologies in their supply chains.
🏛政策担当者:Offers evidence-based guidance on designing policy mixes (price vs. non-price) at different stages of technology maturity to maximize diffusion and emissions reductions.
📄 Abstract（原文）
This paper studies the effectiveness of different policy instruments in accelerating the adoption of low-carbon technologies. Despite substantial declines in the costs of these technologies, diffusion remains uneven, driven by local economic conditions and policy environments. Using a modeling approach grounded in technology diffusion theory, the paper assesses how price-based (for example, carbon taxes and subsidies) and non-price-based (for example, mandates and regulatory requirements) instruments affect technology diffusion and carbon emissions across four East Asian economies. The analysis explicitly accounts for path dependence, learning, and technology uncertainty, factors often overlooked in standard models. The results highlight the importance of timing and policy sequencing: in the early stages of diffusion, price instruments may be less effective while non-price instruments can more successfully address coordination failures and subsequently enhance the impact of carbon pricing. The optimal policy combinations ultimately depend on the stage of technological maturity, initial technology adoption patterns, and local conditions.
🔗 Provenance — このレコードを発見したソース
- openalex https://openknowledge.worldbank.org/entities/publication/e2df7160-52f0-41c7-88ba-1251777842d4first seen 2026-05-23 05:29:45 · last seen 2026-05-27 04:44:15
🔔 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。