Hoy Zheng Xuan, Leong Ji Fong, Woon Kok Sin
School of Energy and Chemical Engineering, Xiamen University Malaysia, Jalan Sunsuria, Bandar Sunsuria, 43900 Sepang, Selangor Malaysia.
Clean Technol Environ Policy. 2023 Mar 18:1-15. doi: 10.1007/s10098-023-02508-0.
The COVID-19 pandemic caused profound impacts on the global economy, resulting in a sharp drop in carbon emissions as energy demand fell. The emissions reduction due to past extreme events often follows with a rebound after the economy recovers, but the pandemic's impacts on the long-term carbon emissions trend remain unknown. This study forecasts the carbon emissions of Group of Seven (G7) as developed countries and Emerging Seven (E7) as developing countries using socioeconomic indicators and artificial intelligence-powered predictive analytics to assess the pandemic's impacts on the long-term carbon trajectory curve and their progress toward achieving the Paris Agreement goals. Most E7's carbon emissions have strong positive correlations (> 0.8) with the socioeconomic indicators, whereas most G7's correlate negatively (> 0.6) due to their decoupled economic growth from carbon emissions. The forecasts show higher growth rates in the E7's carbon emissions after the rebound in the pandemic scenario compared to the pandemic-free scenario, while the impact on the G7's carbon emissions is negligible. The overall impact of the pandemic outbreak on long-term carbon emissions is small. Still, its short-term positive impact on the environment should not be misunderstood, and stringent emissions reduction policies must be implemented urgently to ensure the achievement of Paris Agreement goals.
Research methodology for assessing the pandemic's impacts on the G7 and E7 countries' long-term carbon trajectory curve.
The online version contains supplementary material available at 10.1007/s10098-023-02508-0.
新冠疫情对全球经济造成了深远影响,随着能源需求下降,碳排放急剧减少。过去极端事件导致的排放量减少在经济复苏后往往会反弹,但疫情对长期碳排放趋势的影响仍不明朗。本研究利用社会经济指标和人工智能驱动的预测分析方法,对作为发达国家的七国集团(G7)和作为发展中国家的新兴七国集团(E7)的碳排放进行预测,以评估疫情对长期碳轨迹曲线的影响以及它们在实现《巴黎协定》目标方面的进展。大多数E7国家的碳排放与社会经济指标具有很强的正相关性(>0.8),而大多数G7国家的碳排放则呈负相关(>0.6),因为它们的经济增长与碳排放脱钩。预测显示,与无疫情情景相比,在疫情情景反弹后,E7国家的碳排放增长率更高,而对G7国家碳排放的影响可以忽略不计。疫情爆发对长期碳排放的总体影响较小。不过,但它对环境的短期积极影响不应被误解,必须立即实施严格的减排政策,以确保实现《巴黎协定》目标。
评估疫情对G7和E7国家长期碳轨迹曲线影响的研究方法。
在线版本包含可在10.1007/s10098-023-02508-0获取的补充材料。