Settlement scaling and increasing returns in an ancient society
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作者:
Ortman, Scott G.
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机构:
Univ Colorado, Dept Anthropol, Boulder, CO 80309 USA
Santa Fe Inst, Santa Fe, NM 87501 USAUniv Colorado, Dept Anthropol, Boulder, CO 80309 USA
Ortman, Scott G.
[1
,2
]
Cabaniss, Andrew H. F.
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机构:
Santa Fe Inst, Santa Fe, NM 87501 USA
Univ North Carolina Chapel Hill, Dept Class, Chapel Hill, NC 27599 USAUniv Colorado, Dept Anthropol, Boulder, CO 80309 USA
Cabaniss, Andrew H. F.
[2
,3
]
Sturm, Jennie O.
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机构:
Univ New Mexico, Dept Anthropol, Albuquerque, NM 87131 USAUniv Colorado, Dept Anthropol, Boulder, CO 80309 USA
Sturm, Jennie O.
[4
]
Bettencourt, Luis M. A.
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机构:
Santa Fe Inst, Santa Fe, NM 87501 USAUniv Colorado, Dept Anthropol, Boulder, CO 80309 USA
Bettencourt, Luis M. A.
[2
]
机构:
[1] Univ Colorado, Dept Anthropol, Boulder, CO 80309 USA
[2] Santa Fe Inst, Santa Fe, NM 87501 USA
[3] Univ North Carolina Chapel Hill, Dept Class, Chapel Hill, NC 27599 USA
[4] Univ New Mexico, Dept Anthropol, Albuquerque, NM 87131 USA
A key property of modern cities is increasing returns to scale-the finding that many socioeconomic outputs increase more rapidly than their population size. Recent theoretical work proposes that this phenomenon is the result of general network effects typical of human social networks embedded in space and, thus, is not necessarily limited to modern settlements. We examine the extent to which increasing returns are apparent in archaeological settlement data from the pre-Hispanic Basin of Mexico. We review previous work on the quantitative relationship between population size and average settled area in this society and then present a general analysis of their patterns of monument construction and house sizes. Estimated scaling parameter values and residual statistics support the hypothesis that increasing returns to scale characterized various forms of socioeconomic production available in the archaeological record and are found to be consistent with key expectations from settlement scaling theory. As a consequence, these results provide evidence that the essential processes that lead to increasing returns in contemporary cities may have characterized human settlements throughout history, and demonstrate that increasing returns do not require modern forms of political or economic organization.
机构:
Artificial and Natural Intelligence Toulouse Institute (ANITI), University of Toulouse, France
Harvard Paulson School of Engineering and Applied Science, University of Manchester Business School, United KingdomArtificial and Natural Intelligence Toulouse Institute (ANITI), University of Toulouse, France