scholarly journals The Impact of Renewable Energy on Carbon Dioxide Emissions: An Empirical Analysis of Selected South Asian Countries

2019 ◽  
Vol 9 (4) ◽  
pp. 527-534
Author(s):  
A. Waheed ◽  
M. Tariq
Keyword(s):  
Carbon Dioxide ◽  
Renewable Energy ◽  
South Asian ◽  
Carbon Dioxide Emissions ◽  
Trade Openness ◽  
Asian Countries ◽  
Energy Trade ◽  
The Impact ◽  
South Asian Region ◽  
Nonrenewable Energy

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.

Analysis of Avoided Carbon-Dioxide Due to Photovoltaic and Wind Turbine Technologies Displacing Electrical Peaking Facilities

2009 ◽  
Author(s):  
Jarod C. Kelly ◽  
Deepak Sivaraman ◽  
Gregory A. Keoleian
Keyword(s):  
Carbon Dioxide ◽  
Renewable Energy ◽  
Carbon Dioxide Emissions ◽  
Computational Study ◽  
San Antonio ◽  
Carbon Dioxide Emission ◽  
Renewable Energy Technologies ◽  
Energy Technologies ◽  
The Impact ◽  
Renewable Technology

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.

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
Keyword(s):  
Carbon Dioxide ◽  
Renewable Energy ◽  
Latin American ◽  
Environmental Degradation ◽  
Carbon Dioxide Emissions ◽  
Energy Policies ◽  
Auto Regressive ◽  
Renewable Energy Policies ◽  
The Impact ◽  
Latin American Countries

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.

The Impact of Trade Openness on Environmental Pollution

2015 ◽  
pp. 221-232 ◽  
Author(s):  
Murat Cetin ◽  
Fahri Seker ◽  
Hakan Cavlak
Keyword(s):  
Carbon Dioxide ◽  
Environmental Pollution ◽  
Carbon Dioxide Emissions ◽  
Trade Openness ◽  
Kuznets Curve ◽  
Industrialized Countries ◽  
Newly Industrialized Countries ◽  
Long Run ◽  
Causality Tests ◽  
The Impact

This chapter analyzes the impact of trade openness on environmental pollution in the newly industrialized countries that have focused on trade over the period 1971-2010 by using recently developed panel unit root, cointegration, and causality tests. The results indicate a cointegration relationship between the variables. The results also show that trade openness increases carbon dioxide emissions with the elasticity of 0.53 and there is a Granger causality running from trade openness to carbon dioxide emissions in the long run. These findings may provide some policy implications. Without taking into account impact of trade on pollutions, optimistic environmental Kuznets curve hypothesis would be invalid. Therefore, policymakers who decide on environment policies should pay attention to not only growth effects but also trade effects on pollutions. Future empirical analysis would expose the new evidences for governmental policies and environmental regulations to change these effects positively.

scholarly journals The Linkage between Economic Growth, Renewable Energy, Tourism, CO2 Emissions, and International Trade: The Evidence for the European Union

Energies ◽  
2020 ◽  
Vol 13 (18) ◽  
pp. 4838 ◽  
Author(s):  
Nuno Carlos Leitão ◽  
Daniel Balsalobre Lorente
Keyword(s):  
Climate Change ◽  
Economic Growth ◽  
Carbon Dioxide ◽  
Renewable Energy ◽  
Carbon Dioxide Emissions ◽  
Trade Openness ◽  
Cointegration Test ◽  
The European Union ◽  
Long Run ◽  
Tourism Arrivals

This paper evaluates the link between economic growth, renewable energy, tourism arrivals, trade openness, and carbon dioxide emissions in the European Union (EU-28). As an econometric strategy, the research uses panel data. In the first step, we apply the unit root test, and the results demonstrated that the variables used in this study are integrated I (1) in the first difference. In the second step, we apply the Pedroni cointegration test, and Kao Residual cointegration test, and we observe that the variables are cointegrated in the long run. The panel fully modified least squares (FMOLS), panel dynamic least squares (DOLS), and generalized moments system (GMM-System) estimator are considered in this research. The econometric results proved that trade openness and renewable energy decreased climate change and environmental degradation. The empirical study also found a positive effect of economic growth on carbon dioxide emissions. Moreover, tourism arrivals are negatively correlated with carbon dioxide emissions, showing sustainability practices of the tourism sector on the environment. Furthermore, carbon dioxide emissions in the long run present a positive impact, indicating that climate change increases. In this study, we also consider the recent methodology of Dumitrescu–Hurlin to observe the causality and the relationship between renewable energy, trade openness, economic growth, tourism arrivals, and carbon dioxide emissions.

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