Case Study: Evaluation of Renewable Energy Production Technologies in Two Regions of Brazil

Oliveira, João Fernando Gomes de; Trindade, Tatiana Costa Guimarães

doi:10.1007/978-3-319-77607-1_6

Cited by 1 publication

(2 citation statements)

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“…In particular, Inglesi-Lotz ( 2016 ) stated an inconsistent result, estimating a negative correlation between renewables and growth. These findings were also corroborated by Oliveira and Trindade ( 2018 ), showing that the Energy Returns on Investments for recycled energy is much lower than on technology; hence, clean energy sources are highly unlikely to be the primary sources of power in the future due to such a substantial disparity. They noted that there is no strong correlation between the production of renewable energy and the rate of growth of a country.…”

Section: Literature Reviewsupporting

confidence: 61%

“…According to Vaona ( 2012 ), renewable energy resources are highly suitable in reducing the amount of carbon in energy, which is an essential element of the climate mitigation process. Following Oliveira and Trindade ( 2018 ), the consumption of renewable energy would minimize the emission of carbon by approximately 8.2% by 2050. The use of clean energy technologies enormously contributes also to push up the economic development of the area, minimizing the dependency on imported fuels.…”

Section: Literature Reviewmentioning

confidence: 99%

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Nature and climate change effects on economic growth: an LSTM experiment on renewable energy resources

Mele

Gurrieri

Morelli

et al. 2021

Environ Sci Pollut Res

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Global energy demand increases overtime, especially in emerging market economies, producing potential negative environmental impacts, particularly on the long term, on nature and climate changes. Promoting renewables is a robust policy action in world energy-based economies. This study examines if an increase in renewables production has a positive effect on the Brazilian economy, partially offsetting the SARS-CoV2 outbreak recession. Using data on Brazilian economy, we test the contribution of renewables on the economy via a ML architecture (through a LSTM model). Empirical findings show that an ever-greater use of renewables may sustain the economic growth recovery, generating a better performing GDP acceleration vs. other energy variables.

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Section: Literature Reviewsupporting

confidence: 61%

Section: Literature Reviewmentioning

confidence: 99%