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Ex-Ante Analysis of Economic, Social and Environmental Impacts of Large-Scale Renewable and Nuclear Energy Targets for Global Electricity Generation by 2030

doi: 10.3390/su10082884
This study assesses the economic, social and environmental impacts of renewable and nuclear energy targets for global electricity generation by 2030. It examines different regions, as they might experience different impacts depending on the structures of their economies and their local natural resources, to understand the impact of these targets on their economics and well-being of their people. These regions are: Saudi Arabia, the United States (US), China, India, Europe and Rest of World (ROW). A well-known Computable General Equilibrium (CGE) model, the Global Trade Analysis Project (GTAP), is modified and used to predict global economic shifts that would be triggered by two scenarios. The business as usual (BAU) scenario assumes that the current electricity mix remains unchanged until 2030. The Renewable and Nuclear Energy (RNE) scenario is based on the International Energy Outlook (IEO) 2016 prediction. The analysis shows that the GDP value of all regions, except India, is affected negatively. The study shows a loss of 4.45 million jobs worldwide in the RNE compared to the BAU. Finally, the implementation of planned renewable and nuclear energy slightly benefits the environment but not enough to mitigate rise in global temperature.
- University of Arkansas at Fayetteville United States
- Taibah University Saudi Arabia
- Taibah University Saudi Arabia
- University of Arkansas at Fayetteville United States
social impacts, Environmental effects of industries and plants, renewable and nuclear energy, TJ807-830, green jobs, CO2 emissions, TD194-195, Renewable energy sources, Environmental sciences, CO<sub>2</sub> emissions, economic impacts, GE1-350, Computable General Equilibrium (CGE) model
social impacts, Environmental effects of industries and plants, renewable and nuclear energy, TJ807-830, green jobs, CO2 emissions, TD194-195, Renewable energy sources, Environmental sciences, CO<sub>2</sub> emissions, economic impacts, GE1-350, Computable General Equilibrium (CGE) model
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).22 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 10%
