Dynamic Modeling of Causal Relationship Between Energy Consumption, CO2 Emissions, and Economic Growth in Italy

2017 ◽  
pp. 99-109 ◽  
Author(s):  
Pavlos Stamatiou ◽  
Nikolaos Dritsakis
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Causal Relationship ◽  
Co2 Emissions ◽  
Dynamic Modeling

Dynamic modeling of causal relationship between energy consumption, CO2 emissions and economic growth in India

2011 ◽  
Vol 15 (6) ◽  
pp. 3243-3251 ◽  
Author(s):  
Mohammad Jahangir Alam ◽  
Ismat Ara Begum ◽  
Jeroen Buysse ◽  
Sanzidur Rahman ◽  
Guido Van Huylenbroeck
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Causal Relationship ◽  
Co2 Emissions ◽  
Dynamic Modeling

scholarly journals Comparative analysis of energy consumption, CO2 emissions and economic growth: evidence for OECD selected countries

2016 ◽  
Vol 4 (2) ◽  
pp. 114
Author(s):  
Samia Gmidene ◽  
Saida Zaidi ◽  
Sonia Zouari Ghorbel
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Comparative Analysis ◽  
Causal Relationship ◽  
Co2 Emissions ◽  
Nuclear Energy ◽  
Renewable Energy Consumption ◽  
Long Run ◽  
Short Run

The main purpose of this study is to investigate the causal relationship among renewable energy, nuclear energy consumption, economic growth, and CO2 emissions for selected OECD countries over the period 1980 to 2013. All variables are found to be cointgrated.Results of Granger causality show long-run relationship from GDP, renewable energy consumption and nuclear energy consumption to CO2 emissions, from CO2 emissions, GDP, to renewable energy consumption, from emissions, GDP to renewable energy, and from CO2 emissions GDP and nuclear energy consumption.In short run, results show that there exists bidirectional causality between GDP and CO2 emissions, and unidirectional causality running from renewable energy consumption to GDP. Also unidirectional causality running from renewable energy consumption to CO2 emissions without feedback but no causality running from nuclear energy consumption to CO2 emissions was found. This evidence suggests that renewable energy can help to mitigate CO2 emissions, but so far, nuclear energy consumption has not reached a level where it can CO2 emissions.

scholarly journals ANALISIS KAUSALITAS EMISI CO2, KONSUMSI ENERGI, PERTUMBUHAN EKONOMI, DAN MODAL MANUSIA DI ASEAN

2019 ◽  
Vol 1 (2) ◽  
pp. 519
Author(s):  
Titi Reneri Arista ◽  
Syamsul Amar
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Energy Consumption ◽  
Causal Relationship ◽  
Co2 Emissions ◽  
Vector Error ◽  
Causality Relationship ◽  
Asean Countries

This study examines the causal relationship beetwen CO2 emissions, energy consumption, economic growth, and human capital within a panel vector error corellations model (PVECM) for 8-ASEAN countries over the period 2005-2014. The results of this study indicate that the CO2 emissions and the energy consumption has causality relationship, the energy consumption and the economics growtht has a causality relationship, the CO2 emissions and the economic growth has causality relationship, the economic growth and human capital has a on-way relationship that is economic growth which affects the human capital, human capital and the CO2 emissions does not have a causality relationship, and the energy consumption and the human capital also has no causality.

scholarly journals Economic Development, CO2 Emissions and Energy Use Nexus-Evidence from the Danube Region Countries

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3165
Author(s):  
Eva Litavcová ◽  
Jana Chovancová
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Carbon Emissions ◽  
Bounds Testing ◽  
Mutual Cooperation ◽  
Long Run ◽  
Short Run ◽  
Danube Region ◽  
The Impact

The aim of this study is to examine the empirical cointegration, long-run and short-run dynamics and causal relationships between carbon emissions, energy consumption and economic growth in 14 Danube region countries over the period of 1990–2019. The autoregressive distributed lag (ARDL) bounds testing methodology was applied for each of the examined variables as a dependent variable. Limited by the length of the time series, we excluded two countries from the analysis and obtained valid results for the others for 26 of 36 ARDL models. The ARDL bounds reliably confirmed long-run cointegration between carbon emissions, energy consumption and economic growth in Austria, Czechia, Slovakia, and Slovenia. Economic growth and energy consumption have a significant impact on carbon emissions in the long-run in all of these four countries; in the short-run, the impact of economic growth is significant in Austria. Likewise, when examining cointegration between energy consumption, carbon emissions, and economic growth in the short-run, a significant contribution of CO2 emissions on energy consumptions for seven countries was found as a result of nine valid models. The results contribute to the information base essential for making responsible and informed decisions by policymakers and other stakeholders in individual countries. Moreover, they can serve as a platform for mutual cooperation and cohesion among countries in this region.

scholarly journals A Review on Energy and Renewable Energy Policies in Iran

2021 ◽  
Vol 13 (13) ◽  
pp. 7328
Author(s):  
Saeed Solaymani
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Causal Relationship ◽  
Energy Security ◽  
Fossil Fuels ◽  
Agricultural Products ◽  
Energy Resources ◽  
Causality Analysis ◽  
Renewable Energy Consumption

Iran, endowed with abundant renewable and non-renewable energy resources, particularly non-renewable resources, faces challenges such as air pollution, climate change and energy security. As a leading exporter and consumer of fossil fuels, it is also attempting to use renewable energy as part of its energy mix toward energy security and sustainability. Due to its favorable geographic characteristics, Iran has diverse and accessible renewable sources, which provide appropriate substitutes to reduce dependence on fossil fuels. Therefore, this study aims to examine trends in energy demand, policies and development of renewable energies and the causal relationship between renewable and non-renewable energies and economic growth using two methodologies. This study first reviews the current state of energy and energy policies and then employs Granger causality analysis to test the relationships between the variables considered. Results showed that renewable energy technologies currently do not have a significant and adequate role in the energy supply of Iran. To encourage the use of renewable energy, especially in electricity production, fuel diversification policies and development program goals were introduced in the late 2000s and early 2010s. Diversifying energy resources is a key pillar of Iran’s new plan. In addition to solar and hydropower, biomass from the municipal waste from large cities and other agricultural products, including fruits, can be used to generate energy and renewable sources. While present policies indicate the incorporation of sustainable energy sources, further efforts are needed to offset the use of fossil fuels. Moreover, the study predicts that with the production capacity of agricultural products in 2018, approximately 4.8 billion liters of bioethanol can be obtained from crop residues and about 526 thousand tons of biodiesel from oilseeds annually. Granger’s causality analysis also shows that there is a unidirectional causal relationship between economic growth to renewable and non-renewable energy use. Labor force and gross fixed capital formation cause renewable energy consumption, and nonrenewable energy consumption causes renewable energy consumption.

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