| 来源类型 | Discussion paper |
| 规范类型 | 论文 |
| 来源ID | DP14434 |
| DP14434 Cities, Lights, and Skills in Developing Economies | |
| Jonathan Dingel; Antonio Miscio; Donald R Davis | |
| 发表日期 | 2020-02-22 |
| 出版年 | 2020 |
| 语种 | 英语 |
| 摘要 | In developed economies, agglomeration is skill-biased: larger cities are skill-abundant and exhibit higher skilled wage premia. This paper characterizes the spatial distributions of skills in Brazil, China, and India. To facilitate comparisons with developed-economy findings, we construct metropolitan areas for each of these economies by aggregating finer geographic units on the basis of contiguous areas of light in nighttime satellite images. Our results validate this procedure. These lights-based metropolitan areas mirror commuting-based definitions in the United States and Brazil. In China and India, which lack commuting-based definitions, lights-based metropolitan populations follow a power law, while administrative units do not. Examining variation in relative quantities and prices of skill across these metropolitan areas, we conclude that agglomeration is also skill-biased in Brazil, China, and India. |
| 主题 | International Trade and Regional Economics |
| 关键词 | Cities Metropolitan areas Satellite images Skill-biased agglomeration Zipf's law |
| URL | https://cepr.org/publications/dp14434 |
| 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/543331 |
| 推荐引用方式 GB/T 7714 | Jonathan Dingel,Antonio Miscio,Donald R Davis. DP14434 Cities, Lights, and Skills in Developing Economies. 2020. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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