探索工业联系中的因果网络复杂性:一项比较研究
Yongmei Ding1, Chao Huang1, Xubo Feng1
1Department of Mathematics and Statistics, College of Science, Wuhan University of Science and Technology, Wuhan 430065, China.
Entropy (Basel, Switzerland)
|February 26, 2025
概括
本研究使用部分交叉映射 (PCM) 对比了中国和美国的工业网络结构. 中国中国中国中国.
科学领域:
- 经济学 经济学 经济学
- 网络科学 网络科学
- 工业组织 工业组织 工业组织
背景情况:
- 工业联系对于经济增长和空间组织至关重要.
- 了解跨行业因果关系是分析经济系统的关键.
- 工业网络的比较研究提供了对国家经济性的见解.
研究的目的:
- 分析和比较中国和美国工业生态系统中的因果网络复杂性.
- 通过使用高频经济数据,调查关键行业的相互依赖和因果结构.
- 评估两个经济体的网络拓和弹性.
主要方法:
- 利用部分交叉映射 (PCM) 技术来捕捉动态相互作用和跨行业因果关系.
- 分析了来自32个中国行业和11个美国行业 (2015-2023) 的高频经济数据.
- 采用网络分析来比较拓和弹性.
主要成果:
- 美国表现出多元化,以服务为导向的结构,金融和技术部门是关键的驱动力.
- 中国的网络在重工业和制造业中显示出更高的中心地位,支持以出口为导向的增长.
- 中国的工业结构显示出增强的网络稳定性和相互连接性.
结论:
- 由于强大的行业间联系,中国的工业网络提供了更大的稳定性和弹性.
- 美国网络的有限节点可能会限制其整体弹性.
- 对比分析揭示了主要经济体的不同结构动态和弹性因素.
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