Accelerating renewables: Unveiling the role of green energy markets

• Published in: Applied energy Vol. 366; p. 123286
• Main Authors: Rao, Amar, Kumar, Satish, Karim, Sitara
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 15-07-2024
• Subjects: Consumption; Energy; Green energy markets; Quantile regression; Renewables; Consumption; Energy; Quantile regression; Renewables; Green energy markets
• ISSN: 0306-2619; 1872-9118
• DOI: 10.1016/j.apenergy.2024.123286

The innovative local grey forecasting model for energy production prediction emerges as a pivotal tool in the shift towards renewable energy, embodying the essence of adaptability and precision for the urgent need for sustainable solutions. The integration of such forecasting models is imperative for comprehending the complexities of energy production and market dynamics, ultimately facilitating a seamless transition to a sustainable energy future. Given this, the current study investigates the connections between renewable energy consumption and its determinants, focusing on the role of green energy markets across 12 countries from 2003 to 2021. Employing a novel quantile regression approach, this study analyzes the impact of green energy markets, GDP per capita, urban population, and environmental policies on renewable energy consumption, introducing a renewable energy consumption index for novel insights. Rooted in grey system theory, this study offers a unique approach to predicting energy outputs, crucial for guiding the strategic decisions in green energy markets. The quantile regression analysis reveals that green energy markets have a differential impact on renewable energy consumption whereas Renewable Energy Installed Capacity positively affects renewable energy consumption across all quantiles. Environmental Stringency Policies consistently show a negative impact across all quantiles. By providing reliable predictions of energy production, these findings empower policymakers, investors, and operators to make strategic, data-driven decisions that align with the fluctuating demands of the market and the overarching goals of sustainability and environmental stewardship.
•We tested the renewable energy consumption and its determinants with a specific focus on green energy markets.•We developed renewable energy consumption index.•We configured positive relationship between green energy markets and renewable energy consumption in lower quantiles.•Stricter environmental policies show an inverse relationship with renewable energy consumption across all quantiles.•A higher urban population consistently shows a positive association with renewable energy consumption across all quantiles.