| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w27303 |
| 来源ID | Working Paper 27303 |
| Plants in Space | |
| Ezra Oberfield; Esteban Rossi-Hansberg; Pierre-Daniel Sarte; Nicholas Trachter | |
| 发表日期 | 2020-06-08 |
| 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 | Microeconomics ; Households and Firms ; Industrial Organization ; Firm Behavior ; Regional and Urban Economics ; Real Estate |
| URL | https://www.nber.org/papers/w27303 |
| 来源智库 | National Bureau of Economic Research (United States) |
| 引用统计 | |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/584975 |
| 推荐引用方式 GB/T 7714 | Ezra Oberfield,Esteban Rossi-Hansberg,Pierre-Daniel Sarte,et al. Plants in Space. 2020. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| w27303.pdf（1324KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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