scholarly journals Grey Incidence Relation Analysis and Granger Causality Tests of the Income Level and Economic Growth – Case Study on Gansu Province, China

2009 ◽  
Vol 02 (04) ◽  
pp. 427-431
Author(s):  
Bing XUE ◽  
Xingpeng CHEN ◽  
Weiwei ZHANG ◽  
Jing WANG ◽  
Xiaojia GUO ◽  
...  
2020 ◽  
Vol 12 (4) ◽  
pp. 1357
Author(s):  
Michael Takudzwa Pasara ◽  
Tapiwa Kelvin Mutambirwa ◽  
Nolutho Diko

This study investigated the causality among education, health, and economic growth in Zimbabwe. Causality effects are a thinly explored area in literature, with most studies focusing on bidirectional relationships. Granger causality tests were employed in a Vector autoregressive (VAR) model. Results showed that education Granger causes health improvements, with health improvements in turn fairly associating to Granger cause economic growth in Zimbabwe. Thus, the effect of education on economic growth is not direct, but works through improved health, pointing to the conclusion that health is a transmission mechanism through which education drives economic growth. No feedback effect was established from health to education and from economic growth to education and health. Thus, results suggest the need for a holistic policy approach which integrates education and health policies in a bid to drive economic growth, since education has no effect on economic growth in its own domain, but through health.


2017 ◽  
Vol 57 (7) ◽  
pp. 899-907 ◽  
Author(s):  
Han Liu ◽  
Haiyan Song

The relationship between tourism and economic growth has created a large body of literature investigating the hypotheses of tourism-led economic growth (TLEGH) and economy-driven tourism growth (EDTGH). In this article, we use mixed-frequency Granger causality tests to investigate the relationship between the two types of growth in Hong Kong from 1974 to 2016. Our analysis reveals the following empirical regularities. First, the hidden short-run causality of TLEGH is detected, and EDTGH is proved in the short run and also in the long run when Granger causality tests are performed in a mixed-frequency framework. Second, mixed-frequency Granger tests demonstrate more power in testing the TLEGH and EDTGH via the rejection frequencies (bootstrap p value). Finally, rolling Granger causality tests reveal an unstable relationship between tourism and economic growth in both magnitude and direction, and the relationship is highly economic- and tourism-event-dependent.


Author(s):  
Cyprian Clement Abur

This paper employed Granger causality tests amid infrastructure spending, economic growth, and employment in Nigeria for the period 1960-2017 using vector autoregression (VAR) model. The result showed a strong causality between infrastructure investment and economic growth in Nigeria. Findings of the study shows a strong underlying relationship between e infrastructure investment and job creation. Economic growth seems to be the key drivers of government jobs and that the private sector jobs drives growth, however, public jobs have not been able to translates into additional jobs in the economy. The bounds test results specify the presence of long-run equilibrium relationship between infrastructure investment, economic growth, job creation and output thereby providing a theoretical underpinning for the empirical results.


2015 ◽  
Vol 6 (1) ◽  
pp. 89
Author(s):  
Dwi Susilowati ◽  
Muhammad Sri Wahyudi Suliswanto

This study was conducted with the intention of examining the causal relationship between the following variables: Human Development Index (HDI), foreign debt, poverty, and economic growth. The data used in this investigation was secondary data from 1990 to 2013 which then analyzed by applying Granger causality tests performed six times that ultimately obtained the following results: (1) there was no causal relationship between Human Development Index (HDI) and Foreign Debt (AD); (2) there was a one-way causal relationship between foreign debt (AD) and poverty; (3) there was a one-way causal relationship between economic growth with Foreign Debt (AD); (4) there was no causal relationship between poverty with Human Development Index (HDI); (5) there was no causal relationship between Economic Growth and Human Development Index (HDI); and (6) there was a one-way causal relationship between economic growth and poverty.


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