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      Inequality in nature and society

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          Significance

          Inequality is one of the main drivers of social tension. We show striking similarities between patterns of inequality between species abundances in nature and wealth in society. We demonstrate that in the absence of equalizing forces, such large inequality will arise from chance alone. While natural enemies have an equalizing effect in nature, inequality in societies can be suppressed by wealth-equalizing institutions. However, over the past millennium, such institutions have been weakened during periods of societal upscaling. Our analysis suggests that due to the very same mathematical principle that rules natural communities (indeed, a “law of nature”) extreme wealth inequality is inevitable in a globalizing world unless effective wealth-equalizing institutions are installed on a global scale.

          Abstract

          Most societies are economically dominated by a small elite, and similarly, natural communities are typically dominated by a small fraction of the species. Here we reveal a strong similarity between patterns of inequality in nature and society, hinting at fundamental unifying mechanisms. We show that chance alone will drive 1% or less of the community to dominate 50% of all resources in situations where gains and losses are multiplicative, as in returns on assets or growth rates of populations. Key mechanisms that counteract such hyperdominance include natural enemies in nature and wealth-equalizing institutions in society. However, historical research of European developments over the past millennium suggests that such institutions become ineffective in times of societal upscaling. A corollary is that in a globalizing world, wealth will inevitably be appropriated by a very small fraction of the population unless effective wealth-equalizing institutions emerge at the global level.

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          Most cited references37

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          Hyperdominance in the Amazonian tree flora.

          The vast extent of the Amazon Basin has historically restricted the study of its tree communities to the local and regional scales. Here, we provide empirical data on the commonness, rarity, and richness of lowland tree species across the entire Amazon Basin and Guiana Shield (Amazonia), collected in 1170 tree plots in all major forest types. Extrapolations suggest that Amazonia harbors roughly 16,000 tree species, of which just 227 (1.4%) account for half of all trees. Most of these are habitat specialists and only dominant in one or two regions of the basin. We discuss some implications of the finding that a small group of species--less diverse than the North American tree flora--accounts for half of the world's most diverse tree community.
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            Zipf distribution of U.S. firm sizes.

            R L Axtell (2001)
            Analyses of firm sizes have historically used data that included limited samples of small firms, data typically described by lognormal distributions. Using data on the entire population of tax-paying firms in the United States, I show here that the Zipf distribution characterizes firm sizes: the probability a firm is larger than size s is inversely proportional to s. These results hold for data from multiple years and for various definitions of firm size.
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              Chapter 6 Institutions as a Fundamental Cause of Long-Run Growth

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                Author and article information

                Journal
                Proc Natl Acad Sci U S A
                Proc. Natl. Acad. Sci. U.S.A
                pnas
                pnas
                PNAS
                Proceedings of the National Academy of Sciences of the United States of America
                National Academy of Sciences
                0027-8424
                1091-6490
                12 December 2017
                28 November 2017
                28 November 2017
                : 114
                : 50
                : 13154-13157
                Affiliations
                [1] aEnvironmental Science Department, Wageningen University , 6700 HB Wageningen, The Netherlands
                [2] bDepartment of History, Utrecht University , 3508 TC Utrecht, The Netherlands
                Author notes
                1To whom correspondence should be addressed. Email: Marten.Scheffer@ 123456wur.nl .

                Edited by Simon A. Levin, Princeton University, Princeton, NJ, and approved November 3, 2017 (received for review April 18, 2017)

                Author contributions: M.S. designed research; B.v.B., I.A.v.d.L., and E.H.v.N. performed research; I.A.v.d.L. and E.H.v.N. analyzed data; and M.S. and B.v.B. wrote the paper.

                Article
                201706412
                10.1073/pnas.1706412114
                5740652
                29183971
                c9eaf65c-c197-4468-aa18-7f65b4712004
                Copyright © 2017 the Author(s). Published by PNAS.

                This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND).

                History
                Page count
                Pages: 4
                Categories
                Social Sciences
                Economic Sciences
                Biological Sciences
                Ecology

                ecology,economy,wealth,abundance,inequality
                ecology, economy, wealth, abundance, inequality

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