Assessing the impact of climate and green industrial policy mixes on eco-innovation
気候とグリーン産業政策ミックスがエコイノベーションに与える影響の評価 (AI 翻訳)
Carmen Heinrich
🤖 gxceed AI 要約
日本語
本研究は、13のOECD諸国（日本を含む）の気候政策ミックスと環境イノベーション（EI）の関係をベイズ階層モデルで分析。政策ミックスの規模がEIの特許シェア向上に最も強い影響を与える一方、政策の多様性やグリーン産業政策の重視は有意な役割を果たしていない。グリーン産業政策の運用ロジックが過去数十年変わっていないことが示唆される。
English
This study analyzes climate policy mixes and environmental innovation (EI) across 13 OECD countries including Japan using a Bayesian hierarchical model. It finds that the overall size of the policy mix is the strongest predictor of higher EI patent shares, while policy diversity and emphasis on green industrial policies are not significant. The operational logic of green industrial policies has remained largely unchanged, potentially limiting radical innovation.
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
日本を含む13カ国の分析から、気候政策ミックスの規模が環境イノベーションに最も重要であることが示された。日本のグリーン成長戦略のような大規模な政策パッケージは有効だが、政策多様性よりも規模拡大に注力すべきである。また、グリーン産業政策の運用ロジックが変わっていない点は、日本の水素政策などに示唆を与える。
In the global GX context
This study provides global evidence that the size of climate policy mixes, rather than their diversity or green industrial focus, drives eco-innovation. It challenges assumptions about the importance of policy variety and calls for a re-examination of green industrial policies' operational logic, relevant for OECD and emerging economies.
👥 読者別の含意
🔬研究者:Provides empirical evidence on the relative importance of policy mix size vs. diversity for eco-innovation, using a novel dataset and Bayesian method.
🏢実務担当者:Corporate sustainability teams can use this to understand that broad policy size (e.g., aggregated climate incentives) matters more than specific green industrial policies for driving innovation.
🏛政策担当者:Indicates that expanding the overall climate policy mix (e.g., carbon pricing, subsidies) is more effective than adding diverse instruments or emphasizing green industrial policies for stimulating eco-innovation.
📄 Abstract（原文）
This study investigates the relationship between variations in the design of climate policy mixes and their impact on environmental innovation (EI). Specifically, it theoretically explores the interplay of these policy design factors and their potential influence on EI before empirically examining whether larger policy mixes, a greater diversity of policy instruments, and an increased emphasis on green industrial policies contribute to a higher share of environmentally related patents. By integrating insights from the literature on EI and policy mixes, this research develops a systematic approach to capturing the dynamics of climate policy mixes and is the first to separately analyze the distinct role of green industrial policies. The study examines policy mixes across 13 OECD countries (Australia, Belgium, Canada, Finland, Germany, Greece, Italy, Ireland, Japan, New Zealand, Norway, Portugal, Sweden) from 1990 to 2020, using a Bayesian hierarchical model and a novel dataset, CLIMAPP, to map policy design variations. The results indicate that the overall size of a climate policy mix is the strongest predictor of a higher share of EI, while policy diversity and the emphasis on green industrial policies do not play a significant role. Furthermore, the findings highlight a previously underexplored aspect: the operational logic of green industrial policies has remained largely unchanged over the past decades, potentially limiting their ability to drive radical innovation.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1080/14693062.2026.2675275first seen 2026-06-29 05:01:00 · last seen 2026-06-29 05:01:03
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