Changes in agglomeration and productivity are poor predictors of inequality across the archaeological record

IF 9.1 1区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Scott G. Ortman, Amy Bogaard, Jessica Munson, Dan Lawrence, Adam S. Green, Gary M. Feinman, Shadreck Chirikure, Johannes H. Uhl, Stefan Leyk
{"title":"Changes in agglomeration and productivity are poor predictors of inequality across the archaeological record","authors":"Scott G. Ortman, Amy Bogaard, Jessica Munson, Dan Lawrence, Adam S. Green, Gary M. Feinman, Shadreck Chirikure, Johannes H. Uhl, Stefan Leyk","doi":"10.1073/pnas.2400693122","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":20548,"journal":{"name":"Proceedings of the National Academy of Sciences of the United States of America","volume":"238 1","pages":""},"PeriodicalIF":9.1000,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the National Academy of Sciences of the United States of America","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1073/pnas.2400693122","RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

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.
聚集和生产力的变化不能很好地预测考古记录中的不平等
我们讨论了关于社会不平等的长期动态的三个基本问题。首先,我们通过比较从全球不平等动态(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,从社会经济角度考虑对住宅规模的解释。其次,我们研究了人际网络的规模和生产力与不平等的系统关联程度。最后,我们研究了前工业化社会中不平等和发展模式的生产率和生产率增长分布之间的关系。我们发现,在工业化前的社会中,住宅规模分布为生产力分配(收入,物质和社会资源流向群体)提供了合理的代理,并为财富分配(随时间积累的此类资源存量)提供了最小估计;规模和生产率影响着不平等水平,但只占观察到的社会差异的一小部分;这种不平等的增长是独立于生产率增长的,无论从平均水平还是长期来看都是如此。这些发现对目前促进更公平的经济发展的努力具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
19.00
自引率
0.90%
发文量
3575
审稿时长
2.5 months
期刊介绍: The Proceedings of the National Academy of Sciences (PNAS), a peer-reviewed journal of the National Academy of Sciences (NAS), serves as an authoritative source for high-impact, original research across the biological, physical, and social sciences. With a global scope, the journal welcomes submissions from researchers worldwide, making it an inclusive platform for advancing scientific knowledge.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信