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<p>This study investigates the interaction between green growth (GG), environmental taxes (ET), financial development (FD), renewable energy consumption (REN), and globalization (GLO) in shaping environmental sustainability in Vietnam. By doing so, we employ advanced econometric techniques, including wavelet quantile regression, the spectral Granger causality test, and quantile-on-quantile regression, which allow us to assess the strength and direction of relationships between the variables across different timescales. The results uncover a significant influence of all regressors on the load capacity factor (LCF) across various periods and frequencies. Specifically, GG, FD, ET, GLO, and REN have positive effects on environmental sustainability across all quantiles and time horizons, with REN making a notable contribution to promoting LCF in Vietnam. Furthermore, the spectral Granger causality results indicate that GLO, GG, and ET predict environmental sustainability in the short run, whereas REN and FD forecast LCF in the long run. These findings have important implications for strengthening sustainability-oriented policies and enhancing renewable energy adoption.</p>

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The dynamic effects of green growth, environmental taxes, renewable energy consumption, financial development, and globalization on the load capacity factor in Vietnam: novel findings from wavelet quantile regression

  • 期刊论文

  • 发表日期：

    2025年10月28日

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  • Hoang Thi Xuan,
  • Nguyen Chi Hai,
  • Ngo Thai Hung

摘要

This study investigates the interaction between green growth (GG), environmental taxes (ET), financial development (FD), renewable energy consumption (REN), and globalization (GLO) in shaping environmental sustainability in Vietnam. By doing so, we employ advanced econometric techniques, including wavelet quantile regression, the spectral Granger causality test, and quantile-on-quantile regression, which allow us to assess the strength and direction of relationships between the variables across different timescales. The results uncover a significant influence of all regressors on the load capacity factor (LCF) across various periods and frequencies. Specifically, GG, FD, ET, GLO, and REN have positive effects on environmental sustainability across all quantiles and time horizons, with REN making a notable contribution to promoting LCF in Vietnam. Furthermore, the spectral Granger causality results indicate that GLO, GG, and ET predict environmental sustainability in the short run, whereas REN and FD forecast LCF in the long run. These findings have important implications for strengthening sustainability-oriented policies and enhancing renewable energy adoption.