新加坡海运业空间集聚的数据分析阐释

Lock Yue Chew, N. N. Chung, Wen Xuan Sia, H. Huynh, Glenn Sim, Alvin Chua, Zhongwen Huang
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引用次数: 0

摘要

在本文中,我们创建了三种新的统计方法来表征企业和产业子部门的空间格局和结构。新的测度方法直接量化了子部门空间集聚的趋势、跨子部门空间共集聚的可能性以及企业间领导和跟随行为的潜力。与传统测度通过偏离基线分布或距离密度推断集聚可能性不同,我们的测度从聚类和同址行为的角度来研究集聚,从而为空间集聚提供清晰的物理图景。通过量化企业在空间上聚集的三种不同方式中的一种,它们的集体使用为企业的集聚行为和区位选择提供了一个传统方法无法提供的综合视角。我们采用这种联合应用的措施来表明,新加坡海事公司倾向于在空间上进行分布,使他们能够从集聚经济中获得本地化外部性的好处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Data Analytic Elucidation on the Spatial Agglomeration of Singapore Maritime Industry
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.
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