The tapestry of green economics: mapping the nexus of CO2 emissions, economic growth, and renewable energy

Abstract

ABSTRACTThis study examines the relationships between CO2 emissions, GDP, renewable energy consumption, and trade openness across 37 OECD countries from 1995–2020. Using a Panel Vector Autoregressive (PVAR) model and Granger Causality tests, the research probes the causality among these factors. Key findings show a notable causality from GDP, renewable energy, and trade openness to CO2 emissions. Specifically, lags in renewable energy consumption and trade openness significantly decrease CO2 emissions. Surprisingly, GDP's influence on CO2 emissions is found to be negligible, challenging the typical belief linking economic growth to environmental degradation. These insights hold great value for policymakers in environmental governance and climate finance. The data underscores the importance of promoting renewable energy and trade openness for effective CO2 reduction. The study advocates a sustainable environmental governance model, emphasizing strong legal structures and clarity in execution. Since GDP doesn't significantly impact CO2 emissions, there's potential to pivot towards sustainable economic growth models. The research offers a foundational empirical groundwork, suggesting that expanding future studies to include diverse variables might yield a more comprehensive understanding of the relationships in question.

Keywords

• Green economics
• renewable energy consumption
• trade openness
• carbon dioxide emissions
• OECD countries
• PVAR model