scholarly journals CAUSALITY BETWEEN PEER-TO-PEER LENDING AND BANK LENDING IN CHINA: EVIDENCE FROM A PANEL DATA APPROACH

2020 ◽  
Vol 65 (06) ◽  
pp. 1537-1557
Author(s):  
TSUNG-PAO WU ◽  
HUNG-CHE WU ◽  
SHU-BING LIU ◽  
HSIN-PEI HSUEH ◽  
CHIEN-MING WANG

This study applied a multivariate panel Granger causality test to examine the causal relationship between peer-to-peer lending (P2PL) and bank lending (BL) in China’s eight major regions for the period from 2014M01 to 2019M12. The empirical results of this paper support evidence for the P2PL leading hypothesis in regions such as Jiangsu and Hubei while the BL leading hypothesis relationship supports the evidence for regions such as Zhejiang and Shanghai. In addition, there is an interactive causal relationship between P2PL and BL in a region such as Shandong. However, the result of a neutrality hypothesis supports three of these eight major regions (Guangdong, Beijing and Sichuan). The findings of this paper provide important policy implications for China’s eight major regions as well as business sectors in the banking industry for understanding and predicting market conditions.

2017 ◽  
Vol 57 (7) ◽  
pp. 871-882 ◽  
Author(s):  
Tsung-Pao Wu ◽  
Hung-Che Wu

This study applies a bootstrap panel Granger causality test to examine the causal relationship between international tourism receipts and economic growth in China’s 31 major regions for the period from 1995 to 2015, accounting for both dependency and heterogeneity across regions. The empirical results of this study support evidence for the growth hypothesis in the regions, such as Anhui, Henan, Jiangxi, Jilin, Fujian, Jiangsu, Shandong, Tianjin, Chognqing, Inner Mongolia, Qinghai, Tibet, and Yunnan. A reverse relationship supports evidence on the conservation hypothesis for the regions, such as Hubei and Hunan. A reciprocal causal relationship was found in Hebei and Shannxi, while the result of a neutrality hypothesis supported 14 of these 31 major regions (i.e., Heilongjiang, Shanxi, Beijing, Guangdong, Hainan, Liaoning, Shanghai, Zhejiang, Gansu, Guangxi, Guizhou, Ningxia, Sichuan, and Xinjiang). The empirical findings of this work provide important policy implications for China’s 31 major regions.


2020 ◽  
Vol 25 (4) ◽  
pp. 365-381 ◽  
Author(s):  
Tsung-Pao Wu ◽  
Hung-Che Wu

This study applies a bootstrap panel Granger causality test to examine the causal relationship between international tourism receipts and economic growth in 20 regions of China for the period from 1995 to 2015, accounting for both dependency and heterogeneity across regions. The empirical results support evidence for the growth hypothesis in the regions, such as Anhui, Henan, Hubei, Ningxia, and Shannxi. A reverse relationship supports evidence on the conservation hypothesis for the regions, such as Hunan and Inner Mongolia. A reciprocal causal relationship was found in Qinghai and Tibet, while the result of a neutrality hypothesis supported 11 of these 20 major regions (i.e., Chognqing, Gansu, Guangxi, Guizhou, Heilongjiang, Jiangxi, Jilin, Shanxi, Sichuan, Xinjiang and Yunnan).


2015 ◽  
Vol 50 (10) ◽  
pp. 1728-1741 ◽  
Author(s):  
Furkan Emirmahmutoglu ◽  
Mehmet Balcilar ◽  
Nicholas Apergis ◽  
Beatrice D. Simo-Kengne ◽  
Tsangyao Chang ◽  
...  

2013 ◽  
Vol 7 (3) ◽  
pp. 1176-1197
Author(s):  
Tareki Sadraou ◽  
Tarek Ben Al

In this paper we investigate the causal relationship between R&D cooperation and economic growth. We use an innovative econometric method which is based on a panel test of the Granger non causality hypothesis. We implement various tests with a sample of 32 industrial and developing countries over the 1970-2012 periods. The results provide support for a robust causality relationship from economic growth to the R&D cooperation. On the contrary, the non causality hypothesis from R&D cooperation to economic growth can't be rejected in most of the cases. However, these results only imply that, if such a relationship exists, it can't be easily identified in a simply bi-variate Granger causality test.


2020 ◽  
Vol 3 (2) ◽  
pp. 17-27
Author(s):  
Kamaljit Singh ◽  
Vinod Kumar

The main objective of this paper is to analyze the trend and pattern of the Nifty-Fifty and sectorial indices. An attempt has been also made to find out the causal relationship among the Nifty-Fifty and NSE sectorial Indices. The unit root test and Granger-causality test has been applied to check the causal relationship between Nifty-Fifty and sectorial indices. The finding of the study shows that the financial service sector had performed better and followed by the banking sector among all the indices while the Pharma sector and the Realty sector were Under-performed in comparison to other indices. The Nifty-Fifty has been found less volatile in comparison to other sectorial indices however Realty sector indices show the highest volatility during the study period.


2018 ◽  
Vol 5 (2) ◽  
pp. 59
Author(s):  
Muhammad Shoukat Malik ◽  
Raisham Hayee ◽  
Raima Adeel

This study aims in understanding the causal relationship between financial development and economic growth. This research used annual data and applied dickey fuller test and granger causality test in order to understand stationary level and causation in variables. The results of this test give support to first hypothesis that financial development causes economic growth. While no evidence was found on the support of our second hypothesis i.e. economic growth is causing financial development.


2019 ◽  
Vol 6 (1) ◽  
pp. 1
Author(s):  
Dang Ngoc Duc ◽  
Do Thi Ngoc Lan

The focal point of this paper is focused on assessing the causal relationship between ODA and economic growth in the localities of Vietnam. This research uses panel data of ODA and GDP from 63 provinces of Vietnam by using Granger Causality test. The results showed that ODA has a causal effect on economic growth (GDP) and vice versa, economic growth decides to attract ODA in provinces in Vietnam. This result complements studies on the causal relationship between ODA and economic growth using new empirical evidence through case studies in the provinces of Vietnam.


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