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Linking between Renewable Energy, CO2 Emissions, and Economic Growth: Challenges for Candidates and Potential Candidates for the EU Membership

doi: 10.3390/su11061528
This paper investigates the impact of renewable energy sources (RESs), CO2 emissions, macroeconomics, and the political stability in a country on the Gross Domestic Product (GDP). The authors analyse the dynamics of RESs use, CO2 emissions, and GDP development and also test the following hypotheses: (1) The country’s economic growth is related to the energy consumption, in terms of both human resources and capital; (2) the share of the renewable energy consumption of the total energy consumption has a positive impact on the economic growth; and (3) the share of the renewable energy consumption of the total energy consumption is unrelated to the economic growth. To test the above hypotheses, the authors use the modified Cobb-Douglas production function, which also considers RES production volumes, CO2 emissions, and economic growth. The study employs data between 1995 to 2015 from the candidate and potential candidate countries for the EU membership. The data are drawn from the World Bank and Eurostat. The analyses entail panel unit root tests, Pedroni panel cointegration tests, fully modified OLS (FMOLS), dynamic OLS (DOLS) panel cointegration techniques, and the Vector Error Correction model (VECM). The findings confirm the relationship between RESs, CO2 emissions, and the GDP. For the EU countries, RESs as human resources and capital have an impact on the GDP. Moreover, the results reveal a correction retraction when the economic growth leads to an increase in renewable energy consumption. The investigation also finds that candidate and potential candidate countries for the EU membership should foster renewable energy development. The authors conclude that developing affordable and effective instruments and mechanisms to boost the RES implementation is necessary to decrease the anthropogenic impact on the environment (in particular, decreasing CO2 emissions) without any attendant reduction in the economic growth.
- Rzeszów University of Technology Poland
- Sumy State University Ukraine
- Sumy State University Ukraine
- Lithuanian Energy Institute Lithuania
- Rzeszów University of Technology Poland
відновлювальна енергія, 330, возобновляемая энергия, causal relationship, growth, TJ807-830, выбросы CO2, CO2 emissions, TD194-195, panel unit root tests, Renewable energy sources, CO<sub>2</sub> emissions, Lietuva (Lithuania), стійкість, викиди CO2, GE1-350, панельные модульные корневые тесты, Environmental effects of industries and plants, панельні модульні кореневі тести, устойчивость, stability, sustainability, renewable energy, Environmental sciences, стабильность, причинно-следственная связь, рост, зростання, стабільність, причинно-наслідкові зв’язки
відновлювальна енергія, 330, возобновляемая энергия, causal relationship, growth, TJ807-830, выбросы CO2, CO2 emissions, TD194-195, panel unit root tests, Renewable energy sources, CO<sub>2</sub> emissions, Lietuva (Lithuania), стійкість, викиди CO2, GE1-350, панельные модульные корневые тесты, Environmental effects of industries and plants, панельні модульні кореневі тести, устойчивость, stability, sustainability, renewable energy, Environmental sciences, стабильность, причинно-следственная связь, рост, зростання, стабільність, причинно-наслідкові зв’язки
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).169 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 1% 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 0.1%
