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A stochastic independence approach for measuring regional specialization and concentration

机译：衡量区域专业化和集中度的随机独立方法

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摘要

This paper proposes an integrated framework for discussing issues related to regional concentration, sectorial specialization and overall localization by considering these concepts as a row-column association- or non-independence- in a two-way contingency table 'regions x sectors'. This is the approach of stochastic independence, in which the degree of concentration, or of specialization, is measured by discrepancies among distributions: between profiles and a uniform distribution for absolute concepts; between profiles and the corresponding marginal distribution for relative concepts; or between the joint distribution and the product of the marginal distributions for overall localization. This paper discusses the benefits of this integrating approach, particularly for the practitioner facing a multifaceted literature.
机译：本文提出了一个综合框架，用于讨论与区域集中度，部门专业化和整体本地化有关的问题，方法是将这些概念视为双向列联表“区域x部门”中的行-列关联或非独立性。这是随机独立的方法，其中集中度或专业化程度通过分布之间的差异来度量：分布在绝对概念的分布和均匀分布之间；在轮廓和相对概念的相应边际分布之间；或在联合分布与边际分布的乘积之间进行整体定位。本文讨论了这种集成方法的好处，特别是对于面对多方面文献的从业者。

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