摘要翻译：
早在20世纪20年代，马歇尔就建议企业在城市中共同办公，以降低货物、人员和思想的流动成本。例如，这些“集聚力”产生了旧金山和波士顿的高科技集群，以及底特律的汽车集群。然而，尽管它对城市规划者和产业政策制定者很重要，但直到最近，在估计每条马歇尔通道对企业选址决策的相对重要性方面几乎没有成功。在这里，我们探索了一个新兴的文献，旨在开发城市中的工业共地模式，以解开工业共地集聚与客户/供应商、劳动力和思想共享之间的关系。在以往的方法的基础上，我们提出了一个基于网络的方法来估计每个Marshallian渠道在中观尺度上的相对重要性。具体而言，我们利用社区检测技术，构造了一个基于协同集聚模式的产业集群的层次分解，并表明这些产业集群在对单个马歇尔通道的相对依赖方面表现出不同的模式。
---
英文标题：
《Unravelling the forces underlying urban industrial agglomeration》
---
作者：
Neave O'Clery and Samuel Heroy and Francois Hulot and Mariano
  Beguerisse-D\'iaz
---
最新提交年份：
2019
---
分类信息：

一级分类：Economics        经济学
二级分类：General Economics        一般经济学
分类描述：General methodological, applied, and empirical contributions to economics.
对经济学的一般方法、应用和经验贡献。
--
一级分类：Quantitative Finance        数量金融学
二级分类：Economics        经济学
分类描述：q-fin.EC is an alias for econ.GN. Economics, including micro and macro economics, international economics, theory of the firm, labor economics, and other economic topics outside finance
q-fin.ec是econ.gn的别名。经济学，包括微观和宏观经济学、国际经济学、企业理论、劳动经济学和其他金融以外的经济专题
--

---
英文摘要：
  As early as the 1920's Marshall suggested that firms co-locate in cities to reduce the costs of moving goods, people, and ideas. These 'forces of agglomeration' have given rise, for example, to the high tech clusters of San Francisco and Boston, and the automobile cluster in Detroit. Yet, despite its importance for city planners and industrial policy-makers, until recently there has been little success in estimating the relative importance of each Marshallian channel to the location decisions of firms.   Here we explore a burgeoning literature that aims to exploit the co-location patterns of industries in cities in order to disentangle the relationship between industry co-agglomeration and customer/supplier, labour and idea sharing. Building on previous approaches that focus on across- and between-industry estimates, we propose a network-based method to estimate the relative importance of each Marshallian channel at a meso scale. Specifically, we use a community detection technique to construct a hierarchical decomposition of the full set of industries into clusters based on co-agglomeration patterns, and show that these industry clusters exhibit distinct patterns in terms of their relative reliance on individual Marshallian channels.
---
PDF链接：
https://arxiv.org/pdf/1903.09279