多维城市化和碳排放的内在机制和空间影响
Han Hu1, Tiangui Lv2, Xinmin Zhang3
1School of Public Administration, Hunan University, Changsha, 410082, China. jclchh@163.com.
Environmental science and pollution research international
|December 20, 2023
概括
这项研究揭示了多维城市化 (MU) 如何影响长江三角洲的碳排放. 土地城市化显著增加了CE,而人口城市化的影响很小,为可持续的城市发展提供了洞察力.
科学领域:
- 环境科学 环境科学
- 城市研究 城市研究
- 经济学 经济学 经济学
背景情况:
- 现有的关于城市化和碳排放的研究往往缺乏理论基础和多维方法.
- 以前的研究主要集中在单一的途径上,忽视了城市化因素的复杂相互作用.
研究的目的:
- 开发一个新的理论框架,整合格罗斯曼的环境影响分析,以了解多维城市化 (MU) 和碳排放 (CEs).
- 研究MU和CE在长江三角洲城市聚集区 (YRDUA) 的空间影响.
- 用S-STIRPAT模型确定人口,土地和经济城市化对CE的影响机制.
主要方法:
- 将格罗斯曼的环境影响分析纳入一个新的理论框架.
- 在YRDUA的多维城市化和碳排放的空间分析.
- 应用S-STIRPAT模型与人口,土地和经济城市化变量.
主要成果:
- 在YRDUA的多维城市化和碳排放的时空模式之间存在显著的重叠.
- 土地城市化对碳排放产生了最大的积极影响 (系数:0.409),其次是经济城市化 (0.195).
- 人口城市化的影响相对较小 (0.070),大多数因素对邻近地区的碳排放产生了积极的溢出效应,而能源强度显示出负面影响.
结论:
- 这项研究提供了对城市化不同层面如何推动碳排放的细微了解.
- 调查结果强调土地城市化是影响碳排放的关键因素,需要有针对性的环境政策.
- 这项研究为平衡城市增长与环境可持续性提供了可操作的见解,最大限度地减少了负面外部性.
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