对中国物流行业的空间相关性网络和碳排放驱动因素的分析
Xinyu Kang1, Lu Chen2, Yue Wang2
1School of Economics and Management, Xi'an Aeronautical University, 710077, Xi'an, China.
Journal of environmental management
|July 19, 2024
概括
中国中国中国中国.
科学领域:
- 环境科学 环境科学
- 经济地理 经济地理
- 运输研究 运输研究
背景情况:
- 中国物流部门的绿色发展是重点关注的重点.
- 物流的碳排放呈现出复杂的空间相关性和演变模式.
研究的目的:
- 构建和分析中国长江经济带和黄河流域物流碳排放的空间相关联网络.
- 研究这些排放的形成机制,空间演变以及驱动因素.
- 预测未来的减排路径,并确定高排放地区.
主要方法:
- 改进了用于网络构建的重力模型和社交网络分析.
- 内部驱动因素分析的二次性分配程序模型.
- 改进了用于未来排放预测的STIRPAT模型.
主要成果:
- 山东,江苏和上海的碳消耗量最高,其下游特征较高.
- 网络桥梁从山东迁移到山西,安和四川,表明了动态的空间溢出效应.
- 能源强度和货运量与物流碳排放网络高度相关.
结论:
- 研究区域的物流碳排放显示未来的下降趋势.
- 预计到2035年,安和西的碳排放量将达到很高的水平.
- 结果为区域低碳物流转型提供了政策建议.
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