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

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.

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Publication Details

Journal
Proceedings of the National Academy of Sciences
Published
2025-04-14
DOI
https://doi.org/10.1073/pnas.2400693122
Citations
6
Primary Topic
Evolutionary Game Theory and Cooperation
Type
article
Field-Weighted Citation Impact
25.21

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article

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

Amy Bogaard, Shadreck Chirikure, Gary M. Feinman, Dan Lawrence et al.
6 citations
Proceedings of the National Academy of Sciences
Evolutionary Game Theory and Cooperation
25.21
article

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

Amy Bogaard, Shadreck Chirikure, Gary M. Feinman, Dan Lawrence, Scott G. Ortman, Johannes Uhl, Jessica L. Munson, Adam S. Green, Stefan Leyk
article en
6 citations

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.

Proceedings of the National Academy of SciencesVol. 122(16)
Santa Fe Institute (US), University of Colorado Boulder (US), Durham University (GB), European Commission (BE), Field Museum of Natural History (US), University of Oxford (GB), Oxford Archaeology (GB), University of York (GB), Lycoming College (US)
National Science Foundation, Santa Fe Institute, University of Colorado Boulder
No poverty
Openalex Percentile: Top 1%
Evolutionary Game Theory and Cooperation
25.21
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