2016
DOI: 10.1016/j.apenergy.2015.10.104
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The effect of renewable energy consumption on economic growth: Evidence from top 38 countries

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Cited by 1,138 publications
(544 citation statements)
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References 29 publications
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“…Much of the literature does not incorporate an environmental approach ( e. g. Bhattacharya et al, 2016;Tang et al, 2016). On contrary, authors such as Sebri, (2015);and Wang et al, (2015) consider the environment in the study of the nexus.…”
Section: Literature Reviewmentioning
confidence: 99%
See 1 more Smart Citation
“…Much of the literature does not incorporate an environmental approach ( e. g. Bhattacharya et al, 2016;Tang et al, 2016). On contrary, authors such as Sebri, (2015);and Wang et al, (2015) consider the environment in the study of the nexus.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The narrowing of the nexus towards electricity was made, for example by Shahbaz and Lean (2012); Shahbaz et al, (2011). The assessment of the nexus' relationships by slicing the energy on renewable and non-renewable was carried out, for example by (Bhattacharya et al, 2016;Dogan, 2015). Finally, the Nexus has been increasingly focused on each energy source, allowing to incorporate the technology characteristics of each source and analyse its influence on economic growth, such as carried out by Ohler and Fetters, (2014) and Marques et al, (2014).…”
Section: Literature Reviewmentioning
confidence: 99%
“…Because investigating the linkage between renewable energy and economic growth is not the principal objective of our study, we will not develop this part further. More details can be found in recent studies, such as Edenhofer et al (2013), Kander and Stern (2014), Dogan (2015b), Alper and Oguz (2016), Bhattacharya et al (2016), Dogan (2016b), Marques et al (2016), Paramati et al (2016) and Inglesi-Lotz (2016).…”
Section: Introductionmentioning
confidence: 99%
“…According to existing studies [31][32][33], some models are widely used for panel unit root tests. However, for panels with cross-sectional dependencies, the first-generation unit root test tends to over-reject the null hypothesis [29,34]. Thence, Pesaran [35] developed a panel root t-statistic using average individual statistics that is expressed as follows:…”
Section: Panel Unit Root Testmentioning
confidence: 99%