| 来源类型 | Discussion paper
|
| 规范类型 | 论文
|
| 来源ID | DP7463
|
| DP7463 Multivariate Sarmanov Count Data Models |
| Eugenio Miravete
|
| 发表日期 | 2009-09-20
|
| 出版年 | 2009
|
| 语种 | 英语
|
| 摘要 | The rise of the People?s Republic of China (PRC) in world trade has brought both benefits and anxiety to other economies. For many policy questions, it is crucial to know the extent of foreign value added (FVA) in exports. We review a general formula in Koopman, Wang and Wei (2008) for computing domestic and foreign contents when processing exports are pervasive. In addition, we develop another formula for slicing up foreign content to allocate it among key individual economy?s supply chains, including sourcing from Japan and the United States. By our estimation, the share of foreign content in exports by the PRC is about 50%. There are also interesting variations across sectors. Those sectors that are likely labeled as relatively sophisticated such as electronic devices have particularly high foreign content (about 80%). By our estimation, Japan; the United States; Hong Kong, China; and the European Union are the major sources of foreign content in the PRC?s exports of computers and consumer electronics, two of its largest and fastest growing export categories. |
| 主题 | International Trade and Regional Economics
|
| 关键词 | Domestic content
Foreign value added
Processing trade
|
| URL | https://cepr.org/publications/dp7463
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| 来源智库 | Centre for Economic Policy Research (United Kingdom)
|
| 资源类型 | 智库出版物
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| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/536283
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推荐引用方式
GB/T 7714 |
Eugenio Miravete. DP7463 Multivariate Sarmanov Count Data Models. 2009.
|
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