trivariate analysis
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Pramana ◽  
2018 ◽  
Vol 91 (2) ◽  
Author(s):  
S P Suma ◽  
Swarnamala Sirsi

2018 ◽  
Vol 42 (2) ◽  
pp. 107-122
Author(s):  
Ismail O. Fasanya ◽  
Abosede E. Ogundare

GeoJournal ◽  
2018 ◽  
Vol 84 (3) ◽  
pp. 593-609 ◽  
Author(s):  
Asma Sghaier ◽  
Asma Guizani ◽  
Sami Ben Jabeur ◽  
Mohammad Nurunnabi

2016 ◽  
Vol 11 (1) ◽  
pp. 97-111 ◽  
Author(s):  
Andrew Phiri ◽  
Bothwell Nyoni

AbstractThis research study contributes to the ever-expanding literature by examining multivariate cointegration and causality relationships between electricity consumption, economic growth and other growth determinants for quarterly South African data collected between 1994/Q1 – 2014/Q4. The motivation behind this current research case study becomes apparent when taking into consideration that no previous studies have gone further than bivariate and trivariate analysis in investigating the electricity-growth nexus in South Africa. In conducting our empirical investigation, our obtained empirical results are two-fold in nature. Firstly, we find significant multivariate long-run cointegration relationships between economic growth, electricity consumption and other growth determinants. Secondly, our empirical analysis offers support in favour of the neutrality hypothesis, that is, the notion of no causal effects existing between electricity consumption and economic growth in the long-run. However, we find that exports directly cause electricity consumption whereas economic growth, domestic investment and employment levels causally flow to exports.


2015 ◽  
Vol 50 ◽  
pp. 215-224 ◽  
Author(s):  
Muhammad Shahbaz ◽  
Sakiru Adebola Solarin ◽  
Rashid Sbia ◽  
Sadia Bibi

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