驱动因素分析和资源依赖城市工业碳排放的动态预测:中国奥尔多斯的案例研究
Jing Li1, Zhuoya Ma1, Haowei Sun1
1School of Economics and Management, Beijing Forestry University, Beijing, 100083, China.
概括
像奥尔多斯这样依赖资源的城市的工业碳排放是由产量规模和能源使用驱动的. 投资强度和能源效率是减少排放的关键.
科学领域:
- 环境科学 环境科学
- 气候变化研究 气候变化研究
- 城市可持续性 城市可持续性
背景情况:
- 资源依赖的城市,特别是中国的城市,由于严重依赖资源开采和加工,面临着城市碳排放高的重大挑战.
- 作为一个主要的煤炭生产商,奥尔多斯就是一个例子,尽管工业化迅速发展,环境污染问题持续存在,但工业活动对其碳足迹作出了重大贡献.
研究的目的:
- 调查2005年至2020年期间中国代表性资源依赖城市奥尔多斯工业碳排放的主要驱动因素.
- 在三个不同的发展阶段分析这些驱动因素,并使用已识别的关键因素预测未来的工业碳排放 (2021-2030年).
主要方法:
- 应用一般化Divisa指数方法 (GDIM) 来分解和分析影响工业碳排放的因素.
- 使用蒙特卡洛模拟方法,根据已确定的驱动因素预测未来的工业碳排放.
主要成果:
- 工业产量规模和能源消耗被确定为加速工业碳排放的主要驱动因素.
- 工业能源投资强度成为减排的最重要的缓解因素.
- 经济后转型,能源效率的提高和能源消耗的碳强度降低也有助于减排.
结论:
- 投资是实现工业碳排放减少在资源依赖城市中最大优化潜力的因素.
- 专注于投资强度,能源效率和碳强度的有针对性的战略对于可持续的工业发展和排放控制至关重要.
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