RENEWABLE ENERGY LABOR ECONOMIC GROWTH RELATIONSHIP PANEL CAUSALİTY ANALYSIS

2021 ◽  
Vol 7 (9) ◽  
pp. 62-73
Author(s):  
İrem Çiçek
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Causality Analysis ◽  
Panel Causality ◽  
Labor Economic

Renewable energy consumption a panacea for Sustainable economic growth: panel causality analysis for African blocs

2021 ◽  
pp. 1-10
Author(s):  
Yaw Sarpong Steve ◽  
A. Bein Murad ◽  
Bright Akwasi Gyamfi ◽  
Festus Victor Bekun ◽  
Gizem Uzuner
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Causality Analysis ◽  
Renewable Energy Consumption ◽  
Panel Causality ◽  
Sustainable Economic Growth

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.

Relationship Between Human Capital and Economic Growth: Panel Causality Analysis for Selected OECD Countries

2013 ◽  
Vol 3 (1) ◽  
pp. 153-163 ◽  
Author(s):  
Ferdi KESİKOĞLU ◽  
Zafer ÖZTÜRK
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Oecd Countries ◽  
Causality Analysis ◽  
Panel Causality

scholarly journals Identifying Causality Relationship between Energy Consumption and Economic Growth in Developed Countries

2017 ◽  
Vol 1 (2) ◽  
pp. 71 ◽  
Author(s):  
Hasan Dinçer ◽  
Serhat Yüksel ◽  
Zafer Adalı
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Energy Consumption ◽  
Developed Countries ◽  
Annual Data ◽  
Causality Analysis ◽  
Panel Causality ◽  
Bidirectional Relationship ◽  
Causality Relationship ◽  
Economic Improvement

The main purpose of this study is to evaluate the causality relationship between energy consumption and economic growth for developed countries. Within this context, annual data of 22 developed countries was examined by using Dumitrescu Hurlin panel causality analysis. As a result, it was determined that that there is a bidirectional relationship between energy consumption and economic improvement for developed countries. This condition provides two different results. Firstly, energy consumption has an influence on economic development for these countries. While considering this result, it can be said that any limitation in energy consumption will restrict economic growth. Moreover, it was also concluded that level of economic growth is the main reason of energy consumption for developed countries. In other words, developed countries tend to have more energy consumption when their economies are growing.

scholarly journals Analyzing the Impact of the Renewable Energy Sources on Economic Growth at the EU Level Using an ARDL Model

Mathematics ◽  
2020 ◽  
Vol 8 (8) ◽  
pp. 1367 ◽  
Author(s):  
Mihail Busu
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Regression Model ◽  
Negative Impact ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
The European Union ◽  
Causality Analysis ◽  
The Impact ◽  
The Eu

Energy is one of the most important drivers of economic growth, but as the population is increasing, in normal circumstances, in all countries of the world, there is a demand for energy produced from conventional resources. Increasing prices of conventional energy and the negative impact on the environment are two of the main reasons for switching to renewable energy sources (RESs). The aim of the paper is to quantify the impact of the RESs, by type, on the sustainable economic growth at the European Union (EU) level. The research was performed for all 28 EU member states, for a time frame from 2004 to 2017, through a panel autoregressive distributed lag (ARDL) approach and causality analysis. Furthermore, Hausman test was performed on the regression model. By estimating the panel data regression model with random effects, we reveal through our results that RESs, namely wind, solar, biomass, geothermal, and hydropower energy, have a positive influence on economic growth at EU level. Moreover, biomass has the highest impact on economic growth among all RES. In fact, a 1% increase in biomass primary production would impact the economic growth by 0.15%. Based on econometric analysis, our findings suggest that public policies at the EU level should be focused on investment in RESs.

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