Energy policy stringency and green digital energy start-ups
エネルギー政策の厳格性とグリーン・デジタルエネルギースタートアップ (AI 翻訳)
Maksym W. Sitnicki, D. Kurinskyi, Ján Užík, С. В. Подосинніков
🤖 gxceed AI 要約
日本語
本研究は47カ国2000~2023年のパネルデータを用い、エネルギー政策の厳格性がグリーン・デジタルスタートアップの創出と資金調達に与える影響を分析。政策厳格性指数1単位上昇でグリーンスタートアップ数8.5%増、デジタル11.2%増、資金調達は最大308%増。固定価格買取制度や再生可能エネルギーオークションが特に効果的。
English
This study uses panel data from 47 countries (2000-2023) to analyze the impact of energy policy stringency on green and digital energy start-ups. A one-unit increase in the Energy Policy Stringency Index leads to 8.5% growth in green start-ups and 11.2% in digital start-ups, with even larger effects on financing (up to 308% increase). Feed-in tariffs and renewable auctions show strongest positive effects.
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
日本のGX政策(グリーンイノベーション基金、FIT/FIP制度等)において、本論文のクロスカントリー分析は政策の厳格性がスタートアップ育成に与える効果を示唆する。特にFITや再エネ入札の有効性は日本の政策設計に参考となる。
In the global GX context
This paper provides global empirical evidence that stringent energy policies boost green and digital energy start-ups, informing transition finance and national energy strategies under the Paris Agreement.
👥 読者別の含意
🔬研究者:This paper offers cross-country panel evidence on the differential effects of energy policy instruments on start-up creation and financing, useful for policy evaluation researchers.
🏢実務担当者:Corporate sustainability teams can use these findings to understand how policy stringency shapes investment opportunities in green energy startups.
🏛政策担当者:Policymakers can leverage the decomposition of policy instruments to design more effective energy transition policies that support entrepreneurship and scaling.
📄 Abstract(原文)
Purpose. The purpose of this article is to determine the impact of energy policy stringency and its individual instruments on the development and financing of green and digital energy start-ups. Methodology. The study applies panel data analysis for 47 countries over 2000–2023, covering 1,128 country-year observations. The empirical base combines data from the International Energy Agency and the OECD Energy Policy Stringency Index. Two-way fixed-effects models with Driscoll–Kraay standard errors are used to assess the effects of aggregate and disaggregated policy indicators. Dynamic specifications with one- and two-period lags are also estimated, while logarithmic transformations are applied to reduce skewness and zero-inflation in start-up and funding variables. Findings. The results show that stricter energy policy environments positively affect entrepreneurial activity and investment in green and digital energy sectors. A one-unit increase in the Energy Policy Stringency Index is associated with 8.5 % growth in green start-ups and 11.2 % growth in digital start-ups. The effect on financing is stronger: early-stage green funding increases by 308 %, later-stage green funding by 263 %, while early- and later-stage digital funding rise by 268 and 188 %, respectively. Decomposition results reveal substantial heterogeneity across policy instruments. Feed-in tariffs, renewable auctions and renewable certificates show the strongest positive effects, especially on later-stage financing. Dynamic estimates confirm the persistence of these effects over time. Originality. The study provides cross-country evidence on how aggregate and individual energy policy instruments affect green and digital energy start-ups. It shows that policy stringency mainly influences investment and scaling rather than start-up entry alone. Practical value. The findings can help policymakers, regulators and innovation agencies design balanced energy-transition policies that support investment, scaling and sustainable entrepreneurship.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.33271/nvngu/2026-3/235first seen 2026-07-19 04:44:48
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