COVID-19 Medical Trade: Multilayer Network Analysis and Network Determinants
文献类型：期刊论文
| 作者 | Peng, Peng1,3; Poon, Jessie P. H.2; Xie, Xiaowei1,3 |
| 刊名 | NETWORKS & SPATIAL ECONOMICS
 |
| 出版日期 | 2023-12-08 |
| 页码 | 22 |
| 关键词 | Multilayer Network COVID-19 Medical Trade Hub Authority New Economic Geography Gravity Model |
| ISSN号 | 1566-113X |
| DOI | 10.1007/s11067-023-09609-9 |
| 通讯作者 | Peng, Peng(pengp@lreis.ac.cn) |
| 英文摘要 | This paper uses insights from new economic geography (NEG) to examine eight commodities that span the COVID-19 medical value chain from 2000 to 2020 based on the multilayer network approach. Such an approach is distinguished from single layer approaches by taking into consideration interlayer connections. Centrality measures are based on the HITs algorithm to identify dominant exporters (hubs) and importers (authorities). We further examine the determinants of the multilayer trade networks with a gravity model. Three results are reported. First, the core-periphery structure under NEG has weakened over time with the internationalization of production in certain Covid medical commodities (CMCs). Second, home market effect remains relatively strong over time reflecting the role of NEG's agglomeration economies in locations with large home market demand. Finally, countries that restricted certain CMCs (especially PPEs and masks) even as they simultaneously facilitated the imports of other CMCs saw a decrease in exports. |
| WOS关键词 | INTERNATIONAL-TRADE ; INCREASING RETURNS |
| 资助项目 | National Natural Science Foundation of China |
| WOS研究方向 | Operations Research & Management Science ; Transportation |
| 语种 | 英语 |
| WOS记录号 | WOS:001116712400002 |
| 出版者 | SPRINGER |
| 资助机构 | National Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/201404]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Peng, Peng |
| 作者单位 | 1.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.SUNY Buffalo, Dept Geog, Buffalo, NY 14261 USA 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Peng, Peng,Poon, Jessie P. H.,Xie, Xiaowei. COVID-19 Medical Trade: Multilayer Network Analysis and Network Determinants[J]. NETWORKS & SPATIAL ECONOMICS,2023:22. |
| APA | Peng, Peng,Poon, Jessie P. H.,&Xie, Xiaowei.(2023).COVID-19 Medical Trade: Multilayer Network Analysis and Network Determinants.NETWORKS & SPATIAL ECONOMICS,22. |
| MLA | Peng, Peng,et al."COVID-19 Medical Trade: Multilayer Network Analysis and Network Determinants".NETWORKS & SPATIAL ECONOMICS (2023):22. |
入库方式： OAI收割
来源：地理科学与资源研究所
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