循环经济
过渡(遗传学)
碳纤维
经济
低碳经济
业务
经济
计算机科学
温室气体
生态学
化学
生物
生物化学
算法
复合数
基因
作者
Mingyue Zhang,Ruiqing Liu,Huijuan Sun
标识
DOI:10.1038/s41598-025-97810-w
摘要
Decarbonization is of utmost importance to effectively address climate change, advance environmental sustainability, and protect biodiversity and ecosystems. Therefore, developed and developing economies are focusing on adopting various approaches to achieve zero carbon emissions. Thus, this study attempted to generate a meaningful relationship between the circular economy, digitalization, energy transition, and eco-friendly trade strategy to capture the role of factors that function to attain carbon neutrality. For the above-given objectives, dynamic econometric methods, such as the cross-sectional autoregressive distributed lag model (CS-ARDL), were adopted to assess the G7 dataset between 1990 and 2022. These findings suggest that the parameters under investigation are important for achieving carbon neutrality in G7 in the long term. Moreover, Panel Corrected Standard Errors (PCSe) confirmed that every aspect affects carbon neutrality. Consequently, the long-term attainment of decarbonization is greatly aided by a circular economy, digitalization, energy transformation, and green trade. Thus, significant and comprehensive policy changes are needed in several sectors, such as the development of digitization, environmental regulations, sustainable and green technology, and renewable energy sources.
科研通智能强力驱动
Strongly Powered by AbleSci AI