基于GDIM分解方法和两个脱效应,对中国工业碳排放的研究
Chaofeng Shen1, Jun Zhang2, Jianfei Pang3
1College of Science, Inner Mongolia Agricultural University, Hohhot, 010018, People's Republic of China.
Environmental science and pollution research international
|February 1, 2024
概括
中国的工业碳排放主要是由产量大小和能源消耗驱动的. 虽然脱离经济增长显示出进展,但仍然存在显著的减排潜力.
科学领域:
- 环境科学 环境科学
- 经济学 经济学 经济学
- 工业生态学 工业生态学
背景情况:
- 中国的工业部门是全球碳排放的主要贡献者.
- 了解这些排放的驱动因素对于有效的气候政策至关重要.
研究的目的:
- 为了分解中国工业碳排放的驱动因素.
- 分析工业碳排放与经济增长的脱关系.
- 通过环境库兹内茨曲线 (EKC) 研究经济发展与碳排放之间的关系.
主要方法:
- 对于因子分解的通用化划分指数方法 (GDIM).
- Tapio解弹性和减排努力功能用于速度解.
- 环境库兹内茨曲线 (EKC) 用于量解.
主要成果:
- 积极的驱动因素:产出规模,工业能源消耗,人口规模.
- 负面驱动因素:投资碳排放,产出碳强度,人均产出,经济效率,能源强度.
- 减排弹性超过了节能弹性,表明了减排潜力.
- 解效应:解-强解-解.
- 电心电图分析显示了一个"U"形的二次曲线和一个"N"形的立方曲线,支持了电心电图假说.
结论:
- 中国的工业碳排放受到多种因素的影响,产量规模和能源消耗是关键的积极驱动因素.
- 虽然在将排放与经济增长脱方面取得了进展,但持续减少需要进一步努力.
- 该研究证实了中国工业部门的EKC假设,表明随着经济的进一步发展,排放量最终可能会下降.
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