合成供应网络
Synthetic supply networks
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中文总结 AI 辅助
针对大规模经济模型中合成企业及供应链关联创建难度大的问题，提出一种仅用公开数据、速度快且可复现扩展的灵活方法，用于生成符合企业供应网络特性与宏观投入产出表特性的合成供应网络。
中文摘要 AI 辅助
企业和家庭群体的良好表征对大规模经济模型至关重要。虽然已有成熟方法可创建合成家庭群体，但创建合成企业群体，尤其是其供应链关联，通常难度大得多。本文提出一种灵活方法，用于创建合成供应网络，使其既符合企业层面供应网络的已知特性，又匹配宏观经济模型所用的汇总投入产出表特性。该方法速度快，且仅使用公开数据，完全可复现，易于扩展。
英文摘要
A good representation of the population of firms and households is essential for large-scale economic models. While there exist good methods to create synthetic populations of households, creating synthetic populations of firms and, crucially, their supply chain links, is typically much harder. Here, we introduce a flexible method to create synthetic supply networks that match both the known properties of firm-level supply networks and the properties of aggregated input-output tables used in macroeconomic models. Our method is fast, and because it uses only publicly available data, it is fully reproducible and can be easily extended.
