000 | 01647nam a2200289 4500 | ||
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_c11678 _d11678 |
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003 | OSt | ||
005 | 20210602143935.0 | ||
007 | cr aa aaaaa | ||
008 | 210602b ||||| |||| 00| 0 eng d | ||
100 |
_aClémentine Cottineau, _946100 |
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245 | _aDefining urban clusters to detect agglomeration economies | ||
260 |
_bSage, _c2019. |
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300 | _aVol 46, Issue 9, 2019(1611-1626 p.) | ||
520 | _aAgglomeration economies are a persistent subject of debate in regional science and city planning. Their definition turns on whether or not larger cities are more efficient than smaller ones. Here, we complement existing discussions on agglomeration economies by providing a sensitivity analysis of estimated externalities to the definitions of urban agglomeration. We regress wages versus population and jobs over thousands of different definitions of cities in France, based on an algorithmic aggregation of spatial units. We also search for evidence of larger inequalities in larger cities. This paper therefore focuses on the spatial and economic complexity of the mechanisms defining agglomeration within and between cities. | ||
650 |
_aAgglomeration economies, _946101 |
||
650 |
_acities, _946102 |
||
650 |
_a definition, _946103 |
||
650 |
_a inequality, _946104 |
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650 |
_ascaling _945969 |
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700 |
_aFinance, Olivier _946105 |
||
700 |
_aHatna, Erez _946106 |
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700 |
_aArcaute, Elsa _946107 |
||
700 |
_aMichael Batty _946108 |
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773 | 0 |
_011590 _915512 _dSage 2019. _t Environment and Planning B: Urban Analytics and City Science |
|
856 | _uhttps://doi.org/10.1177/2399808318755146 | ||
942 |
_2ddc _cART |