From fossil fuels to green growth: rethinking new models through digital innovation, labor force and sustainable investment

Over the past three decades, accelerating environmental degradation driven largely by rising carbon emissions has posed serious challenges to global ecological stability. In response, this study investigates the asymmetric and nonlinear effects of key macroeconomic and structural factors on environmentally sustainable growth within the G-7 economies (Canada, France, Germany, Italy, Japan, the United Kingdom, and the United States) from 1990 to 2023. Specifically, it examines the differentiated impacts of fossil fuel consumption, digital economy expansion, labor force participation, gross fixed capital formation, trade openness, and natural resource utilization on green growth. To address slope heterogeneity and cross-sectional dependence across countries, the analysis employs the Augmented Mean Group (AMG) and Common Correlated Effects Mean Group (CCEMG) estimators. Results reveal clear evidence of asymmetric dynamics: positive shocks in digital development, trade openness, capital investment, and labor force participation significantly enhance green growth, whereas increases in fossil fuel consumption and unregulated resource extraction hinder environmental performance. Negative shocks in digital and trade activity, by contrast, exhibit muted or statistically insignificant effects highlighting path dependency and structural inertia in green development processes. To reinforce the reliability of the results, robustness checks were conducted using Fully Modified Ordinary Least Squares (FMOLS) and Dynamic OLS (DOLS) estimators. These alternative approaches confirmed the direction, magnitude, and statistical significance of key relationships, underscoring the validity of the asymmetric modeling approach. The findings carry substantial policy implications: G-7 economies must reduce fossil fuel dependency, foster inclusive digital infrastructure, and align capital and trade policies with long-term environmental goals. The study contributes novel insights into the shock-sensitive nature of green growth transitions, offering a methodological and policy framework relevant to both advanced and emerging economies.

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Publication Details

Journal
Frontiers in Environmental Science
Published
2025-10-02
DOI
https://doi.org/10.3389/fenvs.2025.1614744
Primary Topic
Energy, Environment, Economic Growth
Type
article
Field-Weighted Citation Impact
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article

From fossil fuels to green growth: rethinking new models through digital innovation, labor force and sustainable investment

Lisa M. Smith, Xinyu Hu
Frontiers in Environmental Science
Energy, Environment, Economic Growth
article

From fossil fuels to green growth: rethinking new models through digital innovation, labor force and sustainable investment

Lisa M. Smith, Xinyu Hu
article en

Abstract

Over the past three decades, accelerating environmental degradation driven largely by rising carbon emissions has posed serious challenges to global ecological stability. In response, this study investigates the asymmetric and nonlinear effects of key macroeconomic and structural factors on environmentally sustainable growth within the G-7 economies (Canada, France, Germany, Italy, Japan, the United Kingdom, and the United States) from 1990 to 2023. Specifically, it examines the differentiated impacts of fossil fuel consumption, digital economy expansion, labor force participation, gross fixed capital formation, trade openness, and natural resource utilization on green growth. To address slope heterogeneity and cross-sectional dependence across countries, the analysis employs the Augmented Mean Group (AMG) and Common Correlated Effects Mean Group (CCEMG) estimators. Results reveal clear evidence of asymmetric dynamics: positive shocks in digital development, trade openness, capital investment, and labor force participation significantly enhance green growth, whereas increases in fossil fuel consumption and unregulated resource extraction hinder environmental performance. Negative shocks in digital and trade activity, by contrast, exhibit muted or statistically insignificant effects highlighting path dependency and structural inertia in green development processes. To reinforce the reliability of the results, robustness checks were conducted using Fully Modified Ordinary Least Squares (FMOLS) and Dynamic OLS (DOLS) estimators. These alternative approaches confirmed the direction, magnitude, and statistical significance of key relationships, underscoring the validity of the asymmetric modeling approach. The findings carry substantial policy implications: G-7 economies must reduce fossil fuel dependency, foster inclusive digital infrastructure, and align capital and trade policies with long-term environmental goals. The study contributes novel insights into the shock-sensitive nature of green growth transitions, offering a methodological and policy framework relevant to both advanced and emerging economies.

Frontiers in Environmental ScienceVol. 13
North China Electric Power University (CN), Brown University (US)
Openalex Percentile: Top 64%
Energy, Environment, Economic Growth
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