The industrial transfer from the western region to the eastern region based on the Yangtze River Economic Belt -- a case study of Chongqing

2020 ◽  
Vol 29 (3) ◽  
Author(s):  
Han Yu-qi ◽  
Yu Jia-jia ◽  
Gao Qian
Keyword(s):  
Yangtze River ◽  
Western Region ◽  
Eastern Region ◽  
The Yangtze River ◽  
Industrial Transfer ◽  
The Western Region

scholarly journals Risk Transmission of the Regions in the Yangtze River Economic Belt

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Xianbo Wu ◽  
Xiaofeng Hui
Keyword(s):  
Stock Market ◽  
Central Region ◽  
Yangtze River ◽  
Spanning Trees ◽  
Western Region ◽  
Eastern Region ◽  
Chinese Stock Market ◽  
The Yangtze River ◽  
The Western Region ◽  
Effective Transfer

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.

scholarly journals Nonstationary Frequency Analysis of Censored Data: A Case Study of the Floods in the Yangtze River From 1470 to 2017

2020 ◽  
Vol 56 (8) ◽  
Author(s):  
Bin Xiong ◽  
Lihua Xiong ◽  
Shenglian Guo ◽  
Chong‐Yu Xu ◽  
Jun Xia ◽  
...  
Keyword(s):  
Censored Data ◽  
Frequency Analysis ◽  
Yangtze River ◽  
The Yangtze River ◽  
Nonstationary Frequency
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