| 来源类型 | Discussion paper |
| 规范类型 | 论文 |
| 来源ID | DP14823 |
| DP14823 Plants in Space | |
| Ezra Oberfield; Esteban Rossi-Hansberg; Pierre-Daniel Sarte; Nicholas Trachter | |
| 发表日期 | 2020-05-28 |
| 出版年 | 2020 |
| 语种 | 英语 |
| 摘要 | We study the number, size, and location of a firm's plants. The firm's decision balances the benefit of delivering goods and services to customers using multiple plants with the cost of setting up and managing these plants, and the potential for cannibalization that arises as their number increases. Modeling the decisions of heterogeneous firms in an economy with a vast number of widely distinct locations is complex because it involves a large combinatorial problem. Using insights from discrete geometry, we study a tractable limit case of this problem in which these forces operate at a local level. Our analysis delivers clear predictions on sorting across space. Productive firms place more plants in dense locations that exhibit high rents compared with less productive firms, and place fewer plants in markets with low density and low rents. Controlling for the number of plants, productive firms also operate larger plants than those operated by less productive firms in locations where both are present. We present evidence consistent with these and several other predictions using U.S. establishment-level panel data. |
| 主题 | Industrial Organization ; International Trade and Regional Economics ; Macroeconomics and Growth |
| URL | https://cepr.org/publications/dp14823 |
| 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/543756 |
| 推荐引用方式 GB/T 7714 | Ezra Oberfield,Esteban Rossi-Hansberg,Pierre-Daniel Sarte,et al. DP14823 Plants in Space. 2020. |
| 条目包含的文件 | 条目无相关文件。 | |||||
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
