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预测沙特阿拉伯二氧化碳动态基线至2060年:一种多变量方法

Projecting Saudi Arabia's CO 2 Dynamic Baselines to 2060: A Multivariate Approach

The Energy Journal · 2024
被引 0
人大 BABS 3

中文导读

使用计量经济模型,基于GDP、能源价格、经济结构等驱动因素,预测沙特阿拉伯2019至2060年不同情景下的二氧化碳排放量,结果显示即使最低情景也需进一步努力实现净零目标。

Abstract

Using an econometric model, we generate scenario projections of CO 2 emissions under different sets of assumptions on the underlying drivers. These drivers include GDP, the energy price, economic structure, and the underlying emissions trend. Our baseline scenario projects that Saudi CO 2 emissions will rise from 540 Mt in 2019 to 621 Mt in 2030 and 878 Mt in 2060. In a high GDP growth scenario, the corresponding numbers for CO 2 emissions are 635 Mt in 2030 and 985 Mt in 2060. In contrast, in a low GDP growth scenario, CO 2 emissions would grow to 607 Mt in 2030 and 781 Mt in 2060. In an economic diversification scenario, CO 2 emissions would grow to 602 Mt in 2030 and 769 Mt in 2060. These projections are 646 Mt and 1096 Mt for the heavy industrialization scenario. Even in our lowest scenario, further efforts are needed to meet the net zero ambition.

二氧化碳排放情景预测计量经济学沙特阿拉伯环境经济