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A Panel Data Analysis of the Impact of Economic Growth, Population Change, Innovation, and Renewable Energy Policies on the Carbon Footprint in G-7 Countries

G7諸国における経済成長、人口変動、イノベーション、再生可能エネルギー政策がカーボンフットプリントに与える影響に関するパネルデータ分析 (AI 翻訳)

ASLAN, Alper, TOPÇUOĞLU, Vurgun

Zenodoプレプリント2026-06-30#再生可能エネルギーOrigin: Global対象セクター: cross_sector
DOI: 10.5281/zenodo.20800519
原典: https://zenodo.org/records/20800519
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🤖 gxceed AI 要約

日本語

本研究は、1991年から2023年までのG7諸国を対象に、カーボンフットプリントと経済成長、人口変動、再生可能エネルギー消費、技術革新との因果関係をパネルVARモデルとグレンジャー因果検定を用いて分析した。結果、再生可能エネルギー消費と技術革新はカーボンフットプリントを減少させる一方、経済成長と人口増加は増加させることが示された。G7諸国は気候政策において再生可能エネルギーへの移行と研究開発投資を優先すべきである。

English

This study analyzes the dynamic interactions between carbon footprint and economic growth, population change, renewable energy consumption, and technological innovation in G-7 countries from 1991 to 2023 using Panel VAR and Granger causality tests. The results show that renewable energy consumption and technological innovation negatively affect carbon footprint, while economic growth and population change have positive effects. The findings suggest that G-7 countries should prioritize renewable energy transition and R&D investments in their climate policies.

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

G7諸国には日本も含まれており、日本の気候政策（再生可能エネルギー推進、技術革新）の有効性を国際比較で評価する参考となる。パリ協定後のカーボンフットプリント削減に向けた政策立案に示唆を与える。

In the global GX context

This paper contributes to the empirical literature on carbon footprint determinants in advanced economies, supporting global climate policy frameworks like the Paris Agreement. It provides cross-country evidence on the effectiveness of renewable energy and innovation for decarbonization, relevant for ISSB and transition finance discussions.

👥 読者別の含意

🔬研究者:The paper offers an empirical methodology (Panel VAR, Granger causality) for analyzing carbon footprint drivers, useful for replication or extension to other country groups.

🏢実務担当者:Corporates can use the findings to justify investments in renewable energy and R&D as carbon reduction strategies, aligning with global disclosure expectations.

🏛政策担当者:Policymakers in G7 countries can reference the evidence that renewable energy and innovation reduce carbon footprints, supporting policy prioritization.

📄 Abstract（原文）

This research aims to empirically analyze the environmental sustainability factors in G-7 countries. The study reveals the dynamic interactions between carbon footprint (dependent variable) and economic growth, population change, renewable energy consumption, and technological innovation (independent variables). The study examines the causality relationship between carbon footprint and macroeconomic variables using a panel data set covering the period 1991-2023. In this context, the Panel VAR model and the Granger Causality test are applied to the dataset as methodology. The results of the analysis show that renewable energy consumption and technological innovation have a negative impact on carbon footprint. On the other hand, economic growth and population change have positive effects on carbon footprint. These findings suggest that G-7 countries should prioritize renewable energy transition and R&D investments in their climate policies. Given the increasing importance of carbon footprint, especially with the Paris Climate Agreement, it is thought that this research will contribute to the literature in terms of identifying the underlying causes of the problems and providing a solution. In addition, it is important that the transformation is initiated and supported by the countries with the strongest economies.

🔗 Provenance — このレコードを発見したソース

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