2021
DOI: 10.1016/j.renene.2021.01.016
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The effects of renewable energy, spatial spillover of CO2 emissions and economic freedom on CO2 emissions in the EU

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Cited by 180 publications
(54 citation statements)
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“…In a more recent study, Shahnazi and Dehghan Shabani [29] used a spatial dynamic panel data model to assess the factors affecting CO 2 emissions in the EU countries during 2000-2017. According to the affirmed results, the renewable energy consumption had a negative influence on CO 2 emissions, and a U-shaped relationship was found between economic freedom and CO 2 emissions.…”
Section: Literature Reviewmentioning
confidence: 99%
“…In a more recent study, Shahnazi and Dehghan Shabani [29] used a spatial dynamic panel data model to assess the factors affecting CO 2 emissions in the EU countries during 2000-2017. According to the affirmed results, the renewable energy consumption had a negative influence on CO 2 emissions, and a U-shaped relationship was found between economic freedom and CO 2 emissions.…”
Section: Literature Reviewmentioning
confidence: 99%
“…However, the effect of renewable energy on pollution is mixed, because biomass burning can negatively impact the environment. Empirical findings have confirmed the positive effects of renewable energy consumption on pollution (Destek and Aslan, 2020;Assi et al, 2021;Shahnazi and Shabani, 2021). Sharif et al (2020) also analyze the relationship between renewable energy utilization and environmental degradation on a dataset comprising the top 10-polluted countries and found a bidirectional causal link between renewable energy consumption and environmental degradation in most countries, except India, Indonesia, and China, where the relationship is inconclusive.…”
Section: Literature Reviewmentioning
confidence: 72%
“…The cross-sectional dependence is explained by the fact that the level of pollution in one country might depend on the pollution of another country in the sample. This correlation was empirically proven by Shahnazi and Shabani (2021) for EU countries in the period 2000-2017 using a spatial dynamic panel data model. The authors show that the CO2 level in a country depends on the CO2 emissions in neighboring countries.…”
Section: Literature Reviewmentioning
confidence: 79%
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