Ortman Scott G, Bogaard Amy, Munson Jessica, Lawrence Dan, Green Adam S, Feinman Gary M, Chirikure Shadreck, Uhl Johannes H, Leyk Stefan
Institute of Behavioral Science, University of Colorado Boulder, Boulder, CO 80309.
Santa Fe Institute, Santa Fe, NM 87501.
Proc Natl Acad Sci U S A. 2025 Apr 22;122(16):e2400693122. doi: 10.1073/pnas.2400693122. Epub 2025 Apr 14.
We address three basic issues regarding the long-term dynamics of inequality in society. First, we consider the interpretation of residence sizes in socioeconomic terms by comparing statistical patterns extracted from the Global Dynamics of Inequality (GINI) Project database with those from the 21st-century United States. Second, we examine the degree to which the size and productivity of human networks is systematically related to inequality. Finally, we investigate relationships between productivity and productivity growth distributions for patterns of inequality and development across preindustrial societies. We find that across preindustrial societies residence size distributions provide a reasonable proxy for the distribution of productivity (income, a flow of physical and social resources to the group) and a minimum estimator for the distribution of wealth (a stock of such resources accumulated over time); that scale and productivity affect levels of inequality but account for only a small fraction of the observed variance across societies; and that inequality growth is independent of productivity growth, on average and over time. These findings have important implications for efforts to promote more equitable economic development in the present.
我们探讨了关于社会不平等长期动态的三个基本问题。首先,通过将从全球不平等动态(GINI)项目数据库中提取的统计模式与21世纪美国的统计模式进行比较,我们从社会经济角度考虑居住规模的解释。其次,我们研究人际网络的规模和生产力在多大程度上与不平等存在系统性关联。最后,我们针对前工业化社会不平等和发展模式,考察生产力与生产力增长分布之间的关系。我们发现,在前工业化社会中,居住规模分布为生产力分布(收入,即流向群体的物质和社会资源流)提供了合理的代理指标,为财富分布(随时间积累的此类资源存量)提供了最小估计量;规模和生产力会影响不平等程度,但在各社会观察到的差异中仅占一小部分;而且平均而言,随着时间推移,不平等增长与生产力增长无关。这些发现对当前促进更公平经济发展的努力具有重要意义。