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The G7 nations is a major global consumers of natural resources and energy. These nations are confronted with substantial obstacles in their pursuit of sustainable growth through energy transition, while upholding their status as global economic leaders. As a result, this current study conducted an aggregated and disintegrating analysis on the heterogeneous role of green energy innovation on energy transition in G7 nations. Green energy innovation was disintegrated into hydro, solar and wind energy. Moreover, the heterogeneous effects of green innovation in solar, hydro and wind on energy transition was investigated, an analysis that has not been previously examined. For the econometric estimation, we adopted the Quantile-on-Quantile Regression (QQR) and the quantile causality method. The results of the QQR indicates that the positive role of green energy innovation on energy transition in all of the G7 nations. However, this positive role is more dominant in five G7 nations, namely Italy, Germany, Japan, the UK and the USA. Additionally, the result also highlights that the connection between green energy innovation and energy transition is differs across the various quantiles for different nations. Moreover, the quantile causality analysis indicates that green energy innovation has the potential to predict future values in energy transition within the G7 nations. The study emphasizes various policy considerations for promoting energy transition through green energy innovation in G7 nation, which help realizing sustainable development. [ABSTRACT FROM AUTHOR]

This document is a correction notice for an article titled "Can clean energy and technology address environmental sustainability in G7 under the pre-set of human development?" published in the journal Environmental Science & Pollution Research. The correction addresses a mistake in the author's contribution details provided for the paper. The correct author contributions are listed, and the publisher apologizes for any confusion or inconvenience caused. The publisher also notes that they remain neutral regarding jurisdictional claims and institutional affiliations. [Extracted from the article]

The Sustainable Development Goal (SDG) that emphasizes sustainable and affordable energy presents a practical pathway to achieve sustainable growth. Moreover, this goal aligns with SDG 13, which focuses on climate action. Nonetheless, it is important to consider factors such as political and financial risk, as they can influence climate action efforts and the renewable energy sources adoption. Hence, this study broadens the conversation surrounding CO 2 emission reduction and the achievement of Sustainable Development Goals (SDGs). It accomplishes this by investigating the interplay between renewable energy, political risk, financial risk, and CO 2 emissions in Finland spanning from 1990/Q1 to 2021/Q4. Notably, this research distinguishes itself through its exploration of these complex connections, employing a wavelet-based quantile methodology. Unlike traditional quantile regression, which can only reveal connections between variables within each quantile, the wavelet-based quantile approach enables the simultaneous capture of correlations across quantiles and periods. The results show that in the long-term and across all quantiles (0.01–0.99), energy efficiency, specifically gas and oil efficiency, lessens CO 2. In addition, low financial and political risks improve ecological quality by lessening CO 2 across all periods and quantiles (0.01–0.99). The paper outcomes serve as a basis for formulating a policy framework aimed at achieving SDG 7 and SDG 13 in Finland. • We explore the impact of energy efficiency and country risk on CO 2 emissions. • The role of renewable energy and economic growth are also analyzed. • The Time series data of the Finland is used from 1990/Q1 to 2020/Q4. • Various wavelet-based quantile correlation is applied. • Renewable energy, oil and gas efficiency decrease CO 2 emissions in each quantile and across periods. [ABSTRACT FROM AUTHOR]