| 来源类型 | Discussion paper |
| 规范类型 | 论文 |
| 来源ID | DP15470 |
| DP15470 Prime locations | |
| Gabriel Ahlfeldt; Thilo Albers; Kristian Behrens | |
| 发表日期 | 2022-03-29 |
| 出版年 | 2022 |
| 语种 | 英语 |
| 摘要 | We harness big data to detect prime locations—large clusters of knowledge-based tradable services—in 125 global cities and track changes in the within-city geography of prime service jobs over a century. Prime services are less spatially concentrated and prime locations are farther away from historic cores in historically smaller cities that did not develop early public transit networks. We rationalize these novel stylized facts empirically and theoretically. External returns to scale give rise to multiple equilibria in the city-internal distribution of prime services. The resilience of historic prime locations in historically large cities originates at least partially from endogenous durable transport networks. |
| 主题 | Economic History ; International Trade and Regional Economics |
| 关键词 | Prime services Internal city structure Granular spatial model Multiple equilibria and path dependence Transport networks |
| URL | https://cepr.org/publications/dp15470-0 |
| 来源智库 | Centre for Economic Policy Research (United Kingdom) |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/546141 |
| 推荐引用方式 GB/T 7714 | Gabriel Ahlfeldt,Thilo Albers,Kristian Behrens. DP15470 Prime locations. 2022. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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