Unraveling the environmental Kuznets curve: interplay between [Formula: see text] emissions, economic development, and energy consumption.

Abstract

The study investigates the complex interplay among [Formula: see text] emissions, energy consumption, and economic growth in China, employing the Environmental Kuznets Curve (EKC) framework to analyze the dynamics from 1990 to 2022. The research contributes to the urgent need for sustainable development by filling important gaps in comprehending China's specific challenges and potential and considering the relationship between economic advancement and environmental quality. This study utilizes advanced econometric tools, including the AutoRegressive Distributed Lag model, Vector Error Correction Model, and AutoRegressive Integrated Moving Average, to comprehensively examine the complicated relationship between variables, considering both short-run and long-run dynamics. The study supports the EKC concept, suggesting that targeted measures can reduce environmental degradation as China's economy advances. Strategic policy recommendations include emission reduction targets, investments in green technologies, and promoting sustainable consumption patterns. Furthermore, transitioning from fossil fuels to cleaner energy aligns with global climate objectives. This research provides valuable insights for policymakers, emphasizing the interconnected nature of energy consumption, [Formula: see text] emissions, and economic growth in shaping China's sustainable future.