Risk Transmission of the Regions in the Yangtze River Economic Belt
This study mainly uses the method of effective transfer entropy (ETE) to study the risk transmission in each year among the 11 provinces and municipalities in the Yangtze River Economic Belt during the last five years. From the results of the risk transmission network, centralities of the regions, a...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-01-01
|
| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2020/8876883 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832550917286658048 |
|---|---|
| author | Xianbo Wu Xiaofeng Hui |
| author_facet | Xianbo Wu Xiaofeng Hui |
| author_sort | Xianbo Wu |
| collection | DOAJ |
| description | This study mainly uses the method of effective transfer entropy (ETE) to study the risk transmission in each year among the 11 provinces and municipalities in the Yangtze River Economic Belt during the last five years. From the results of the risk transmission network, centralities of the regions, and maximum spanning trees, it can be seen that, in the years of 2015 and 2016, the risk transmission in the Yangtze River Economic Belt is relatively large, and in 2015, Shanghai is the main risk exporter. This may be mainly due to the violent turbulence in the Chinese stock market, and in 2016, although Chinese stock market is in a stable position, the whole risk transmission is still high, but the difference from 2015 is that the input and output risk of each province and municipality are more uniform and are no longer like Shanghai as the main exporter of risk in 2015. From the perspective of risk spillover, the overall trend is from the western region of China to the central region, and finally to the eastern region. Specifically, from the results of the maximum spanning tree, except the stock market crash period in 2015, Chongqing, Guizhou, and Yunnan (the western region) are the main exporters of risk, while Jiangsu, Zhejiang, and Shanghai (the eastern region) are often at the edge at this time, and from the results of the centrality of the region indexes, Hubei, Jiangxi, and Anhui (the central region) are in the hub position of risk transmission. |
| format | Article |
| id | doaj-art-8631ace9cd644395ab7d7d1ee29cb567 |
| institution | Kabale University |
| issn | 1026-0226 1607-887X |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-8631ace9cd644395ab7d7d1ee29cb5672025-02-03T06:05:28ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2020-01-01202010.1155/2020/88768838876883Risk Transmission of the Regions in the Yangtze River Economic BeltXianbo Wu0Xiaofeng Hui1School of Management, Harbin Institute of Technology, Harbin 150001, ChinaSchool of Management, Harbin Institute of Technology, Harbin 150001, ChinaThis study mainly uses the method of effective transfer entropy (ETE) to study the risk transmission in each year among the 11 provinces and municipalities in the Yangtze River Economic Belt during the last five years. From the results of the risk transmission network, centralities of the regions, and maximum spanning trees, it can be seen that, in the years of 2015 and 2016, the risk transmission in the Yangtze River Economic Belt is relatively large, and in 2015, Shanghai is the main risk exporter. This may be mainly due to the violent turbulence in the Chinese stock market, and in 2016, although Chinese stock market is in a stable position, the whole risk transmission is still high, but the difference from 2015 is that the input and output risk of each province and municipality are more uniform and are no longer like Shanghai as the main exporter of risk in 2015. From the perspective of risk spillover, the overall trend is from the western region of China to the central region, and finally to the eastern region. Specifically, from the results of the maximum spanning tree, except the stock market crash period in 2015, Chongqing, Guizhou, and Yunnan (the western region) are the main exporters of risk, while Jiangsu, Zhejiang, and Shanghai (the eastern region) are often at the edge at this time, and from the results of the centrality of the region indexes, Hubei, Jiangxi, and Anhui (the central region) are in the hub position of risk transmission.http://dx.doi.org/10.1155/2020/8876883 |
| spellingShingle | Xianbo Wu Xiaofeng Hui Risk Transmission of the Regions in the Yangtze River Economic Belt Discrete Dynamics in Nature and Society |
| title | Risk Transmission of the Regions in the Yangtze River Economic Belt |
| title_full | Risk Transmission of the Regions in the Yangtze River Economic Belt |
| title_fullStr | Risk Transmission of the Regions in the Yangtze River Economic Belt |
| title_full_unstemmed | Risk Transmission of the Regions in the Yangtze River Economic Belt |
| title_short | Risk Transmission of the Regions in the Yangtze River Economic Belt |
| title_sort | risk transmission of the regions in the yangtze river economic belt |
| url | http://dx.doi.org/10.1155/2020/8876883 |
| work_keys_str_mv | AT xianbowu risktransmissionoftheregionsintheyangtzerivereconomicbelt AT xiaofenghui risktransmissionoftheregionsintheyangtzerivereconomicbelt |