本页提供题录、可核实摘要与阅读线索。AI 解读未完成全文核验,可能有误;具体假设、证明和结论请核对原文。仅依据书目生成的内容属于阅读导航,不是对论文结论的确认。
摘要保留来源文本,未经模型改写。材料不足时保留待解读状态;引用采用 OpenAlex 单条关联记录,不合计版本,缺失不视为零,也不代表论文质量。
正在核对对应版本的资源…
To study the detailed location patterns of industries, and particularly the tendency for industries to cluster relative to overall manufacturing, we develop distance-based tests of localization. In contrast to previous studies, our approach allows us to assess the statistical significance of departures from randomness. In addition, we treat space as continuous instead of using an arbitrary collection of geographical units. This avoids problems relating to scale and borders. We apply these tests to an exhaustive U.K. data-set. For four-digit industries, we find that (i) 52% of them are localized at a 5% confidence level, (ii) localization mostly takes place at small scales below 50 km, (iii) the degree of localization is very skewed, and (iv) industries follow broad sectoral patterns with respect to localization. Depending on the industry, smaller establishments can be the main drivers of both localization and dispersion. Three-digit sectors show similar patterns of localization at small scales as well as a tendency to localize at medium scales.