Renewable Energy Consumption in Africa: Evidence From a Bias Corrected Dynamic Panel

2020 ◽  
Author(s):  
Richmond Baye
Author(s):  
Richmond Silvanus Baye ◽  
Allesandro Olper ◽  
Albert Ahenkan ◽  
Issa Justice Musah-Surugu ◽  
Samuel Weniga Anuga ◽  
...  

2016 ◽  
Vol 12 (11) ◽  
pp. 594 ◽  
Author(s):  
Basak Gul Akar

As a measure of development, energy has a priority in economic literature. However, both economic and social costs caused by traditional energy sources have led to question on the importance of these resources. In addition to this, various problems such as pollution and dependence on foreign energy has brought about new researches instead of existing energy sources. Alternative and renewable energy sources, which are named as “clean energy”, are expected to take the place of the old method. However, there are many factors affecting the use of new energy sources. These factors include energy prices, energy production, energy dependence, economic growth, trade openness, and the use of carbon dioxide. Besides, development levels of countries have a significant influence on the degree of interaction between these factors. In the present study, firstly, renewable energy consumption and the determinants of this energy use were discussed in the theoretical context. Consequently, the required empirical tests were applied for Balkan countries - Albania, Bosnia-Herzegovina, Bulgaria, Croatia, Montenegro, Kosovo, Macedonia, Romania, Serbia, Slovenia, Turkey, and Greece. Dynamic panel data method was preferred for analysis. However, this panel covers a period between the years of 1998-2011. According to the results obtained through a dynamic panel data analysis, it was found that there is a negative and statistically significant relationship between economic growth and renewable energy consumption. On the other hand, trade openness and natural gas rents are determined to have a positive effect on renewable energy consumption in the Balkans.


Author(s):  
Jia Yu Xie ◽  
Dong Hee Suh ◽  
Sung-Kwan Joo

This paper examines how economic growth and renewable energy consumption are associated with air pollution using a dynamic panel approach. Focusing on several major air pollutants, namely, particulate matter, sulfur dioxide, nitrogen oxide, and carbon monoxide, this paper tests the environmental Kuznets hypothesis and determines whether the use of renewable energy sources contributes to a reduction in air pollution. Data from a balanced panel of 145 countries for the period between 2000 and 2014 was used for the estimation of the dynamic panel model. The results of the dynamic panel model showed inverted U-shaped curves for the relationship between economic development and particulate matter and sulfur dioxide emissions. The results also revealed that increasing renewable energy consumption contributes to an improvement in air quality. Moreover, it was found that urbanization tends to decrease sulfur dioxide and nitrogen oxide emissions, while trade openness reduces particulate matter and carbon monoxide emissions but increases sulfur dioxide emissions.


2021 ◽  
Vol 13 (6) ◽  
pp. 3039
Author(s):  
Tomiwa Sunday Adebayo ◽  
Sema Yılmaz Genç ◽  
Rui Alexandre Castanho ◽  
Dervis Kirikkaleli

Environmental sustainability is an important issue for current scholars and policymakers in the East Asian and Pacific region. The causal and long-run effects of technological innovation, public–private partnership investment in energy, and renewable energy consumption on environmental sustainability in the East Asian and Pacific regions have not been comprehensively explored while taking into account the role of economic growth using quarterly data for the period 1992–2015. Therefore, the present study aims to close this literature gap using econometric approaches, namely Bayer–Hanck cointegration, autoregressive distributed lag (ARDL), dynamic ordinary least square (DOLS), and fully modified ordinary least square (FMOLS) tests. Furthermore, the study utilizes the frequency domain causality test to capture the causal impact of public–private partnership investment in energy, renewable energy consumption, technological innovation, and economic growth on CO2 emissions. The advantage of the frequency domain causality test is that it can capture the causality between short-term, medium-term, and long-term variables. The outcomes of the ARDL, FMOLS and DOLS show that renewable energy consumption and technological innovation mitigate CO2 emissions, while public–private partnership investment in energy and economic growth increase CO2 emissions. Moreover, the frequency causality test outcomes reveal that technological innovation, public–private partnership investment in energy, and renewable energy consumption cause CO2 emissions, particularly in the long-term. Thus, as a policy recommendation, the present study recommends promoting renewable energy consumption by focusing more on technological innovation in the East Asia and Pacific regions.


Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 332
Author(s):  
Janusz Grabara ◽  
Arsen Tleppayev ◽  
Malika Dabylova ◽  
Leonardus W. W. Mihardjo ◽  
Zdzisława Dacko-Pikiewicz

In this contemporary era, environmental problems spread at different levels in all countries of the world. Economic growth does not just depend on prioritizing the environment or improving the environmental situation. If the foreign direct investment is directed to the polluting industries, they will increase pollution and damage the environment. The purpose of the study is to consider the relationship between foreign direct investment in Kazakhstan and Uzbekistan and economic growth and renewable energy consumption. The study is based on data obtained from 1992 to 2018. The results show that there is a two-way link between foreign direct investment and renewable energy consumption in the considered two countries. The Granger causality test approach is applied to explore the causal relationship between the variables. The Johansen co-integration test approach is also employed to test for a relationship. The empirical results verify the existence of co-integration between the series. The main factors influencing renewable energy are economic growth and electricity consumption. To reduce dependence on fuel-based energy sources, Kazakhstan and Uzbekistan need to attract energy to renewable energy sources and implement energy efficiency based on rapid progress. This is because renewable energy sources play the role of an engine that stimulates the production process in the economy for all countries.


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