AI 中文总结
研究21世纪初以来财富不平等加剧问题，基于主体的动态复杂网络模型，经主体财富增长、交换及网络重连三个过程演化，分析社会保护因子f不同取值结果，发现强大社会保护下经济增长才惠及最贫困主体。
AI 中文摘要
财富不平等虽是古老问题，但自21世纪初大幅加剧。国家间财富与收入分布呈普遍模式，通常表现为两类分化，这暗示了经济差距产生的基本机制。基于主体的模型适合研究经济系统及其涌现特性。本文在经济增长背景下研究了一个新提出的基于动态复杂网络主体的模型。该模型通过三个交替过程演化：主体独立随机财富增长、相连主体间财富交换以及复杂网络内连接重连。每个主体的财富增长由一个随机过程控制，其特征由两个参数决定：代表经济增长的漂移项μ和反映生产率异质性的波动率σ。我们分析了社会保护因子f不同取值的结果，f在每次交易中偏向较穷主体。较高的f值放大经济增长的效果：增加μ减少不平等，增加σ则相反。在此背景下，只有在强大社会保护到位时经济增长才惠及最贫困主体。
英文摘要
Wealth inequality, although an age-old problem, has seen a substantial rise since the early XXI century. The distributions of wealth and income across countries follow a universal pattern, typically manifesting as a two-class division, which suggests that fundamental mechanisms underpin the emergence of these economic disparities. Agent-based models, which allow the rules of interaction between economic agents to be explicitly defined, are particularly well-suited for studying economic systems and analyzing their emergent properties. In this work, we examine a recently proposed dynamic complex network agent-based model within the context of a growing economy. The model evolves via three alternating processes: independent stochastic wealth growth of each agent, wealth exchanges between connected agents, and the rewiring of connections within the complex network. The wealth growth of each agent is governed by a stochastic process characterized by two parameters: a drift term $μ$, representing economic growth, and volatility $σ$, reflecting heterogeneity in productivity. We analyze the outcomes for various values of a social protection factor $f$, which favors the poorer agent in each transaction. Higher values of $f$ amplify the effect of economic growth: while increasing $μ$ reduces inequality, increasing $σ$ has the opposite effect. In this context, economic growth benefits the poorest agents only when strong social protection is in place.
