2011
DOI: 10.1016/j.enpol.2011.08.007
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Nuclear energy consumption and economic growth in OECD countries: Cross-sectionally dependent heterogeneous panel causality analysis

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Cited by 143 publications
(41 citation statements)
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“…By using the same methodology for a panel of sixteen developed and newly developing countries, Apergis and Payne [3] supported the feedback hypothesis in the short-run and the growth hypothesis in the long-run. Another study carried out by Nazlioglu et al [19] for 14 OECD countries, and have supported the feedback hypothesis.…”
Section: Introductionsupporting
confidence: 50%
See 1 more Smart Citation
“…By using the same methodology for a panel of sixteen developed and newly developing countries, Apergis and Payne [3] supported the feedback hypothesis in the short-run and the growth hypothesis in the long-run. Another study carried out by Nazlioglu et al [19] for 14 OECD countries, and have supported the feedback hypothesis.…”
Section: Introductionsupporting
confidence: 50%
“…The utilization of nuclear energy to meet increasing energy demand is a useful way in the context of Kyoto protocol. On the other hand, social aims such as development of technologies in medicine, public health and agriculture call attention to invest more in nuclear energy sector [19]. In contrast, in Finland, Hungary, India, Japan, Switzerland, and the U.K. there is a positive bidirectional causality between nuclear energy consumption and economic growth.…”
Section: Independent Variablesmentioning
confidence: 97%
“…18 where the x-axis shows the year and the y-axis represents the stability of the loading coefficients of the VECM. 17 Nazlioglu et al [77] propose that there is a need to invest more in nuclear energy sector for a number of social aims. 18 Apergis et al [8] give details on the linkage between CO 2 emissions, the consumption of nuclear power, renewable energy consumption, and GDP.…”
Section: Conclusion and Policy Implicationsmentioning
confidence: 99%
“…Thereafter, studies considering structural breaks but not cross-sectional dependence were published [42]. Recently, most studies have been conducted using dependent panel analysis [17,22,23,[43][44][45]. Some have considered cross-sectional dependence and structural breaks simultaneously [22,23].…”
Section: Introductionmentioning
confidence: 99%