Does insurance activity promote economic growth? Further evidence based on bootstrap panel Granger causality test

2013 ◽  
Vol 20 (12) ◽  
pp. 1187-1210 ◽  
Author(s):  
Tsangyao Chang ◽  
Chien-Chiang Lee ◽  
Chi-Hung Chang
2017 ◽  
Vol 64 (3) ◽  
pp. 255-271 ◽  
Author(s):  
Emmanuel Anoruo

This paper explores the causal relationship between coal consumption and economic growth for a panel of 15 African countries using bootstrap panel Granger causality test. Specifically, this paper uses the Phillips-Perron unit root test to ascertain the order of integration for the coal consumption and economic growth series. A bootstrap panel Granger causality test is employed to determine the direction of causality between coal consumption and economic growth. The results provide evidence of unidirectional causality from economic growth to coal consumption. This finding implies that coal conservation measures may be implemented with little or no adverse impact on economic growth for the sample countries as a group.


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.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Siphe-okuhle Fakudze ◽  
Asrat Tsegaye ◽  
Kin Sibanda

PurposeThe paper examined the relationship between financial development and economic growth for the period 1996 to 2018 in Eswatini.Design/methodology/approachThe Autoregressive Distributed Lag bounds test (ARDL) was employed to determine the long-run and short-run dynamics of the link between the variables of interest. The Granger causality test was also performed to establish the direction of causality between financial development and economic growth.FindingsThe ARDL results revealed that there is a long-run relationship between financial development and economic growth. The Granger causality test revealed bidirectional causality between money supply and economic growth, and unidirectional causality running from economic growth to financial development. The results highlight that economic growth exerts a positive and significant influence on financial development, validating the demand following hypothesis in Eswatini.Practical implicationsPolicymakers should formulate policies that aims to engineer more economic growth. The policies should strike a balance between deploying funds necessary to stimulate investment and enhancing productivity in order to enliven economic growth in Eswatini.Originality/valueThe study investigates the finance-growth linkage using time series analysis. It determines the long-run and short-run dynamics of this relationship and examines the Granger causality outcomes.


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