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Determinants of Renewable Energy Development: Evidence from the EU Countries

doi: 10.3390/en15197093
Sustainable development of the global economy can be achieved with the help of renewable energy (RE). The paper investigates the determinants of RE development in order to boost its adoption. The determinants of RE deployment were analyzed using random-effects GLS regression for the panel data from 27 EU member states in 2011–2020.The results confirm that economic development and high employment in advanced technology manufacturing are drivers of the RE sector, whereas unemployment growth affects RE deployment negatively. Our results show that active political participation and economic freedom promote RE; however, the level of corruption and democracy does not have a statistically significant impact on it. Favorable geographical location was proved to be a determinant of RE development. The hypothesis that plenty of natural resources discourage countries to develop RE was disproved. The major policy implications for RE promotion include the importance of economy deregulation, open market development and educational transformations. Following the results, prospects for further research were outlined.
- Xi'an Peihua University China (People's Republic of)
- Sumy State University Ukraine
- Sumy State University Ukraine
unemployment, Technology, 330, democracy, renewable energy; determinants; drivers; factors; GDP per capita; unemployment; democracy; corruption; EU countries, T, corruption, factors, determinants, drivers, renewable energy, GDP per capita, EU countries
unemployment, Technology, 330, democracy, renewable energy; determinants; drivers; factors; GDP per capita; unemployment; democracy; corruption; EU countries, T, corruption, factors, determinants, drivers, renewable energy, GDP per capita, EU countries
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).42 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
