2020
DOI: 10.3390/su12072915
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Relationships between Renewable Energy Consumption, Social Factors, and Health: A Panel Vector Auto Regression Analysis of a Cluster of 12 EU Countries

Abstract: One of the key indicators of a population's well-being and the economic development of a country is represented by health, the main proxy for which is life expectancy at birth. Some factors, such as industrialization and modernization, have allowed this to improve considerably. On the other hand, along with high global population growth, the factor which may jeopardize human health the most is environmental degradation, which can be tackled through the transition to renewable energy. The main purpose of our st… Show more

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Cited by 88 publications
(43 citation statements)
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“…The results of their research indicate that both trade openness and renewable energy have reduced climate change and environmental degradation, as well as show the positive impact of economic growth on carbon emissions. On the other hand, Caruso et al [50] explored the relationship between renewable energy consumption, social factors, and health. Busu [51], in turn, presented the role of RES in a low-carbon society in the EU.…”
Section: Scope Sourcesmentioning
confidence: 99%
“…The results of their research indicate that both trade openness and renewable energy have reduced climate change and environmental degradation, as well as show the positive impact of economic growth on carbon emissions. On the other hand, Caruso et al [50] explored the relationship between renewable energy consumption, social factors, and health. Busu [51], in turn, presented the role of RES in a low-carbon society in the EU.…”
Section: Scope Sourcesmentioning
confidence: 99%
“…Thus, when a country improves its financial system, it may have to choose between living standards and environmental quality. The importance of having a suitable policy to control energy consumption and develop new energy sources, such as renewable energy source is also highlighted in Caruso et al (2020) .…”
Section: Introductionmentioning
confidence: 99%
“…Hansen test for over-identifying restrictions did not reject the null hypothesis, implying that all instruments used are valid. The stability of the PVAR was confirmed as the eigenvalues as strictly less than 1 and none of the roots are outside the unit circle (Supplementary Figure 1), indicating that the model is stable and also that our variables are stationary 24,25 . 2.…”
Section: Panel Vector Autoregressive (Pvar) Model Using System Gmm Apmentioning
confidence: 79%