Geographic Concentration of Business Services Firms: A Poisson Sorting Model

H. Koster, Jos N. van Ommeren, Piet Rietveld(Deceased)
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Abstract

This paper examines the effects of specialisation (within-sector clustering) and diversity (between-sector clustering) on business services profitability and location choice. We apply a semiparametric Poisson sorting model allowing for firm-specific effects. We find that for most firms, profitability of business services firms is substantially higher close to specialised clusters of business services firms. A standard deviation increase in business services specialisation leads to on average a 40 percent increase in the probability that a business services firm locates there, supporting theories of Marshall, Arrow and Romer. It is also profitable for most business services firms to locate near a group of firms that belong to the same sector, not necessarily business services firms, so diversity is negatively related to location decisions. Almost all firms either benefit from within-sector clustering or between-sector clustering. Within-sector clusters are particularly profitable for large mature firms, whereas between-sector clusters are relatively more profitable for smaller innovative firms.
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商业服务企业的地理集聚:一个泊松分类模型
本文考察了专业化(部门内集群)和多样性(部门间集群)对商业服务盈利能力和区位选择的影响。我们采用半参数泊松排序模型,允许企业特定的影响。我们发现,对于大多数公司来说,商业服务公司的盈利能力在接近专业商业服务公司集群的地方要高得多。商业服务专业化的标准差增加导致商业服务公司设在那里的概率平均增加40%,这支持了马歇尔、阿罗和罗默的理论。对于大多数商业服务公司来说,在属于同一部门的一组公司附近选址也是有利可图的,不一定是商业服务公司,所以多样性与选址决策负相关。几乎所有的公司都从部门内集群或部门间集群中获益。部门内集群对大型成熟公司来说尤其有利可图,而部门间集群对小型创新公司来说相对更有利可图。
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