相关实验视频
Updated: Jun 1, 2025

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Watershed Planning within a Quantitative Scenario Analysis Framework
Published on: July 24, 2016
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在从地方和汇总信息的输入-输出分析中,上游和下游.
Silvia Bartolucci1, Fabio Caccioli1,2,3, Francesco Caravelli4
1Department of Computer Science, University College London, 66-72 Gower Street, London, WC1E 6EA, UK.
Scientific reports
|January 21, 2025
概括
估计供应链角色对于经济分析至关重要. 本研究介绍了一种使用部分数据准确排名国家和行业的方法,绕过复杂的输入-输出表.
科学领域:
- 经济学 经济学 经济学
- 网络科学 网络科学
- 计量经济学 计量经济学
背景情况:
- 在全球价值链中对经济部门和国家的准确排名对于风险评估和增长预测至关重要.
- 传统方法依赖于完整的输入-输出 (I-O) 表,这些表通常不完整或不准确,阻碍了分析.
研究的目的:
- 开发一种方法来准确估计供应链网络中的行业和国家的角色,而不需要完整的输入-输出表.
- 为经济网络分析提供一个计算效率高,分析可处理的框架.
主要方法:
- 使用输入-输出表的等级-1近似.
- 利用本地和综合信息,例如每个行业的总中间需求.
- 分析IO表的光谱属性,特别是光谱间隙,以了解近似精度.
主要成果:
- 拟议的方法使用部分数据准确地重建了国家和行业的上游和下游排名.
- 在世界输入输出数据库上的实证测试验证了排名-1近似的性能.
- 接近的准确性与IO表的光谱性质有关.
结论:
- 使用部分经济数据的简化方法可以有效地对全球价值链中的实体进行排名.
- 这种方法为复杂经济体提供了比传统的输入-输出分析更快,更容易获得的替代方案.
- 这些发现强调了光谱特性在接近经济网络结构中的重要性.
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