scholarly journals The Impact of Renewable Energy Policies on Carbon Dioxide Emissions in the Latin American countries-A PVAR approach

2019 ◽  
Vol 8 (1) ◽  
Author(s):  
Matheus Koengkan

This article analyzes the impact of renewable energy policies on carbon dioxide emissions (CO2) in nine Latin American countries, in a period of 1991 to 2012. The Panel Vector Auto-Regressive (PVAR) was utilized. The results revealed that the renewable energy policies reduce the environmental degradation (CO2 emissions) in -0.0109, and the consumption of renewable energy -0.0231, while the economic growth and consumption oil increase the emissions in 0.9082 and 0.1437 respectively. These empirical findings will help the policymakers develop appropriate renewable energy policies, as well as help to advance the literature that approaches the impact of renewable energy policies on environmental degradation in the Latin America region.

2021 ◽  
Vol 16 (45) ◽  
Author(s):  
Matheus Koengkan ◽  
José Alberto Fuinhas

The impact of globalisation on carbon dioxide emissions was analysed in a panel data of thirteen LAC countries for the period from 1991 to 2012. A panel autoregressive distributed lag methodology was used to decompose the total effects of globalisation on carbon dioxide emissions both in short- and long-run components. There is evidence that globalisation contributes to reducing carbon dioxide emissions in the long-run. A possible explanation of this result is that the process of globalisation causes technological enhancement in LAC countries, which contributes to a decrease in environmental degradation. Globalisation has other implications, such as the transfer of responsibility from the state to the private sector, where this transfer corresponds to the shifting of regulatory attributes to independent governmental regulatory authorities, in other words, “regulation for competition”.


Author(s):  
Jarod C. Kelly ◽  
Deepak Sivaraman ◽  
Gregory A. Keoleian

Many studies that examine the impact of renewable energy installations on avoided carbon-dioxide utilize national, regional or state averages to determine the predicted carbon-dioxide offset. The approach of this computational study was to implement a dispatching strategy in order to determine precisely which electrical facilities would be avoided due to the installation of renewable energy technologies. This study focused on a single geographic location for renewable technology installation, San Antonio, Texas. The results indicate an important difference between calculating avoided carbon-dioxide when using simple average rates of carbon-dioxide emissions and a dispatching strategy that accounts for the specific electrical plants used to meet electrical demands. The avoided carbon-dioxide due to renewable energy technologies is overestimated when using national, regional and state averages. This occurs because these averages include the carbon-dioxide emission factors of electrical generating assets that are not likely to be displaced by the renewable technology installation. The study also provides a comparison of two specific renewable energy technologies: photovoltaics (PV) and wind turbines. The results suggest that investment in PV is more cost effective for the San Antonio location. While the results are only applicable to this location, the methodology is useful for evaluating renewable technologies at any location.


2013 ◽  
Vol 3 (3-4) ◽  
pp. 128-148
Author(s):  
Diego Villarreal-Singer ◽  
Juan-Carlos de Obeso ◽  
Madeline Rubenstein ◽  
Mary-Elena Carr

2019 ◽  
Vol 9 (4) ◽  
pp. 527-534
Author(s):  
A. Waheed ◽  
M. Tariq

This study attempts to explore the impact of renewable energy, nonrenewable energy, trade openness and urbanization on carbon dioxide emissions in the selected South Asian countries over the period 1990 to 2014. The study used Panel Fully Modified Ordinary Least Square (FMOLS) for analyzing the relationship between renewable energy, nonrenewable energy, trade openness, urbanization, and carbon dioxide emissions. The results from the FMOLS show that renewable energy is negatively associated with emissions, whereas nonrenewable energy is positively associated with CO2 emissions. Furthermore the empirical estimation revealed that the increase in trade openness increases CO2 emissions. Interestingly, urbanization decreases carbon dioxide emissions in our analysis of selected South Asian region. It implies that increasing the use of renewable energy is an effective policy to mitigate global warming in the South Asian region.


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