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- W4380882805 abstract "In this paper, we create three new statistical measures to characterize the spatial patterns and structure of firms and subsectors of industry. The new measures give a direct quantification of the tendency of subsectors to spatially agglomerate, the likelihood of cross-subsector spatial co-agglomeration, and the potential of leading and following behaviors between firms. Unlike the conventional measures which deduce possible agglomeration through deviations from the baseline distribution or distance density, our measures study agglomeration in terms of clustering and co-location behaviors to provide a clear physical picture on spatial agglomeration. With each measure quantifying one of the three different ways in which firms agglomerate spatially, their collective use provides a combined perspective on the agglomeration behavior and location choice of firms that is not available from the conventional measures. We employ this joint application of measures to show that Singapore maritime firms have a propensity to distribute themselves spatially in a manner that allows them to reap the benefits of localization externalities from the agglomeration economy." @default.
- W4380882805 created "2023-06-17" @default.
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- W4380882805 date "2023-06-01" @default.
- W4380882805 modified "2023-10-04" @default.
- W4380882805 title "A Data Analytic Elucidation on the Spatial Agglomeration of Singapore Maritime Industry" @default.
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- W4380882805 doi "https://doi.org/10.1142/s2972426023400019" @default.
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