标题： 基于代理的部门投入产出恢复模型扩展 显示英文标题

标题： An Agent-Based Extension to Sector-Wise Input-Output Recovery Models

摘要： 动态投入产出模型是理解行业间依赖关系以及经济体如何应对灾害和疫情等冲击的标准工具。然而，传统方法通常假设价格固定，限制了它们捕捉现实经济行为的能力。在这里，我们引入了一种对动态投入产出恢复模型的自适应扩展，在这种模型中，生产商通过同时调整价格和数量来响应冲击。我们的框架保留了里昂惕夫投入产出模型的经济约束，并根据特定部门的行为参数收敛到平衡配置。当应用于投入产出数据时，该模型使我们能够计算出表示特定部门主要倾向于价格还是数量调整的行为指标。使用世界投入产出数据库，我们确定了强烈且一致的区域性和部门性行为模式。这些发现提供了有关不同地区如何采用不同的策略来管理冲击的见解，从而影响经济韧性和复苏动态。 显示英文摘要

摘要： Dynamic input-output models are standard tools for understanding inter-industry dependencies and how economies respond to shocks like disasters and pandemics. However, traditional approaches often assume fixed prices, limiting their ability to capture realistic economic behavior. Here, we introduce an adaptive extension to dynamic input-output recovery models where producers respond to shocks through simultaneous price and quantity adjustments. Our framework preserves the economic constraints of the Leontief input-output model while converging towards equilibrium configurations based on sector-specific behavioral parameters. When applied to input-output data, the model allows us to compute behavioral metrics indicating whether specific sectors predominantly favor price or quantity adjustments. Using the World Input-Output Database, we identify strong, consistent regional and sector-specific behavioral patterns. These findings provide insights into how different regions employ distinct strategies to manage shocks, thereby influencing economic resilience and recovery dynamics.