2019
DOI: 10.1016/j.rser.2019.02.017
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A revisited renewable consumption-growth nexus: A continuous wavelet approach through disaggregated data

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Cited by 38 publications
(10 citation statements)
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References 97 publications
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“…In Model 4, the SOLAR_T has major influence on economic growth. Our empirical findings are in line with those of Ewing et al (2007), Bildirici and Gokmenoglu (2017), , Tugcu (2018), Bilgili et al (2019), Bulut and Inglesi-Lotz (2019), who all concluded similar results as our study results. Similarly, the Johnson method with Fisher influence known as "Fisher-type panel cointegration test" applied for further analysis.…”
Section: Cointegration and Causality Examinationsupporting
confidence: 93%
“…In Model 4, the SOLAR_T has major influence on economic growth. Our empirical findings are in line with those of Ewing et al (2007), Bildirici and Gokmenoglu (2017), , Tugcu (2018), Bilgili et al (2019), Bulut and Inglesi-Lotz (2019), who all concluded similar results as our study results. Similarly, the Johnson method with Fisher influence known as "Fisher-type panel cointegration test" applied for further analysis.…”
Section: Cointegration and Causality Examinationsupporting
confidence: 93%
“…While in our analysis, third model demonstrates that the variable WIND has a significant impact on growth. On the other hand, Bilgili and Kuskaya (2019), Ewing et al (2007), Bulutand Inglesi-Lotz (2019), and Menegaki and Tugcu (2016a, b) all came to similar conclusions. Although solar PV energy has insignificant impact on economic growth (Table 7).…”
Section: Analysis Of Fixed Effectsmentioning
confidence: 81%
“…It can be used for filtering, denoising, multi-resolution time-frequency analysis, especially for non-stationary signal analysis. Currently, wavelet analysis is widely applied to the economy, such as renewable energy consumption and economic growth [ 31 , 32 ], CO 2 emissions and economic growth [ 33 ], and oil prices and economic fluctuations [ 34 ], etc. Ousama Ben-Salha et al use the wavelet analysis and demonstrate that the relationship between the U.S. output and the aggregate energy used by source varies across frequencies and evolves over time [ 35 ].…”
Section: Methodsmentioning
confidence: 99%