| 来源类型 | Discussion paper |
| 规范类型 | 论文 |
| 来源ID | DP15396 |
| DP15396 Industrial Clusters, Networks and Resilience to the Covid-19 Shock in China | |
| Dilip Mookherjee; Ruochen Dai; Yingyue Quan; Xiaobo Zhang | |
| 发表日期 | 2020-10-22 |
| 出版年 | 2020 |
| 语种 | 英语 |
| 摘要 | We examine how exposure of Chinese firms to the Covid-19 shock varied with a cluster index (measuring spatial agglomeration of firms in related industries) at the county level. Two data sources are used: entry flows of newly registered firms in the entire country, and an entrepreneur survey regarding operation of existing firms. Both show greater resilience in counties with a higher cluster index, after controlling for industry dummies and local infection rates, besides county and time dummies in the entry data. Reliance of clusters on informal entrepreneur hometown networks and closer proximity to suppliers and customers help explain these findings. |
| 主题 | Development Economics ; Industrial Organization |
| 关键词 | Clusters Covid-19 China Firms Social Networks |
| URL | https://cepr.org/publications/dp15396 |
| 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/544382 |
| 推荐引用方式 GB/T 7714 | Dilip Mookherjee,Ruochen Dai,Yingyue Quan,et al. DP15396 Industrial Clusters, Networks and Resilience to the Covid-19 Shock in China. 2020. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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