The Impact of Economic Growth, Technological Development, and Trade Openness on Renewable Energy Use in Turkey: The Fourier Engle-Granger Cointegration Approach

2021 ◽  
Author(s):  
Mustafa Naimoğlu
2021 ◽  
Author(s):  
Md. Mahmudul Alam ◽  
Wahid Murad

This study investigates the short-term and long-term impacts of economic growth, trade openness and technological progress on renewable energy use in Organization for Economic Co-operation and Development (OECD) countries. Based on a panel data set of 25 OECD countries for 43 years, we used the autoregressive distributed lag (ARDL) approach and the related intermediate estimators, including pooled mean group (PMG), mean group (MG) and dynamic fixed effect (DFE) to achieve the objective. The estimated ARDL model has also been checked for robustness using the two substitute single equation estimators, these being the dynamic ordinary least squares (DOLS) and fully modified ordinary least squares (FMOLS). Empirical results reveal that economic growth, trade openness and technological progress significantly influence renewable energy use over the long-term in OECD countries. While the long-term nature of dynamics of the variables is found to be similar across 25 OECD countries, their short-term dynamics are found to be mixed in nature. This is attributed to varying levels of trade openness and technological progress in OECD countries. Since this is a pioneer study that investigates the issue, the findings are completely new and they make a significant contribution to renewable energy literature as well as relevant policy development.


Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4419
Author(s):  
Cong Khai Dinh ◽  
Quang Thanh Ngo ◽  
Trung Thanh Nguyen

Sustaining economic growth while reducing dependence on fossil fuels remains a challenge for our world to fight against climate change and therefore finding a way to promote economic growth and increase renewable energy use is needed. This paper uses a 22-year panel dataset (1994–2015) of 9 countries in the Association of Southeast Asian Nations provided by the World Bank World Development Indicators to examine the impact of medium- and high-tech export on renewable energy use. We employ a fixed-effects regression model with the Driscoll–Kraay nonparametric covariance matrix estimator to account for sectoral and temporal dependence. We also control for inflation, employment, population growth, and gross domestic product per capita in our estimations. Our results demonstrate a U-shaped association between medium- and high-tech export and renewable energy consumption of these economies. The results propose that enhancing medium- and high-tech export could be a feasible solution for promoting renewable energy consumption.


2020 ◽  
Vol 11 (4) ◽  
pp. 771-798 ◽  
Author(s):  
Dilvin Taşkın ◽  
Gülin Vardar ◽  
Berna Okan

Purpose The development of green economy is of academic and policy importance to governments and policymakers worldwide. In the light of the necessity of renewable energy to sustain green economic growth, this study aims to examine the relationship between renewable energy consumption and green economic growth, controlling for the impact of trade openness for Organization for Economic Co-operation and Development countries over the period 1990-2015, within a multivariate panel data framework. Design/methodology/approach To investigate the long-run relationship between variables, panel cointegration tests are performed. Panel Granger causality based on vector error correction models is adopted to understand the short- and long-run dynamics of the data. Furthermore, ordinary least square (OLS), dynamic OLS and fully modified OLS methods are used to confirm the long-run elasticity of green growth for renewable energy consumption and trade openness. Moreover, system generalized method of moment is applied to eliminate serial correlation, heteroscedasticity and endogeneity problems. The authors used the panel Granger causality test developed by Dumitrescu and Hurlin (2012) to infer the directionality of the causal relationship, allowing for both the cross-sectional dependence and heterogeneity. Findings The results suggest that renewable energy consumption and trade openness exert positive effects on green economic growth. The results of long-run estimates of green economic growth reveal that the long-run elasticity of green economic growth for trade openness is much greater than for renewable energy consumption. The estimated results of the Dumitrescu and Hurlin (2012) test reveal bidirectional causality between green economic growth and renewable energy consumption, providing support for the feedback hypothesis. Practical implications This paper provides strong evidence of the contribution of renewable energy consumption on green economy for a wide range of countries. Despite the costs of establishing renewable energy facilities, it is evident that these facilities contribute to the green growth of an economy. Governments and public authorities should promote the consumption of renewable energy and should have a support policy to promote an active renewable energy market. Furthermore, the regulators must constitute an efficient regulatory framework to favor the renewable energy consumption. Social implications Many countries focus on increasing their GDP without taking the environmental impacts of the growth process into account. This paper shows that renewable energy consumption points to the fact that countries can still increase their economic growth with minimal damage to environment. Despite the costs of adopting renewable energy technologies, there is still room for economic growth. Originality/value This paper provides evidence on the contribution of renewable energy consumption on green economic growth for a wide range of countries. The paper focuses on the impact of renewable energy on economic growth by taking environmental degradation into consideration on a wide scale of countries.


2021 ◽  
Vol 10 (4) ◽  
pp. 349-358
Author(s):  
Matheus Koengkan ◽  
José Alberto Fuinhas ◽  
Isabel Vieira

This article investigates the impact of trade openness on the consumption of fossil fuels for a panel of fourteen LAC countries over the period from 1990 to 2014. To this end, a PARDL model in unrestricted error-correction form is estimated. The results of the model regression point indicate that the impact of economic growth and elasticity of trade openness are statistically significant at the 1% level and contribute to increased consumption of fossil fuels in the LAC countries. However, the impact and elasticity of consumption of renewable energy are statistically significant at 1% and 5% levels and thus contribute to decreasing consumption of fossil fuels.


2021 ◽  
Vol 22 (45) ◽  
Author(s):  
Matheus Koengkan ◽  
José Alberto Fuinhas ◽  
Isabel Vieira

This article investigates the impact of trade openness and renewable energy on the consumption of fossil fuels for a panel of fourteen LAC countries over the period from 1990 to 2014. To this end, a PARDL model in unrestricted error-correction form is estimated, and robustness checks are performed by estimating a PNARDL model. The results of the PARDL model point indicate that the impact of economic growth and elasticity of trade openness are statistically significant at the 1% level and contribute to increased consumption of fossil fuels in the LAC countries. However, the impact and elasticity of consumption of renewable energy are statistically significant at 1% and 5% levels and thus contribute to decreasing consumption of fossil fuels. Nevertheless, the asymmetry of the impact of consumption of renewable energy and its elasticity decrease the consumption of fossil fuels. Therefore, the positive impact of trade openness on the consumption of fossil fuels suggests that the process of globalisation by trade liberalisation in the LAC countries is not sufficient to bring more investment that encourages R&D in energy efficiency technologies, and equipment that reduces the consumption of energy from non-renewable energy sources by households and firms.


2020 ◽  
Vol 66 (No. 5) ◽  
pp. 203-214 ◽  
Author(s):  
Nuno Carlos Leitão ◽  
Jeremiás Máté Balogh

The reductions of climate change and greenhouse gas emissions are an essential objective of the European Union (EU) to achieving the reduction target by 20% by 2020. Along with energy consumption and agriculture, trade has a diverse impact on climate change. International trade usually negatively affects the environment, while the influence of intra-industry trade is more favourable. The paper investigates the impact of energy use, agriculture, and intra-industry trade on environmental pollution in EU countries using panel data for the period 2000–2014. The research frames the theoretical hypothesis that describing the relationship between agricultural intra-industry trade and climate change. The assumptions are confirmed by panel fixed effects, and Generalized Method of Moment (GMM) estimations, and the panel cointegration test. The empirical results have supported by the literature, and all variables used in this study are stationary applying panel unit root test. Results show that agricultural intra-industry trade, renewable energy is negatively correlated with climate change, confirming the less pollutant hypothesis, while economic growth and agricultural productivity induce environmental problems. This study confirms the theoretical hypotheses explaining the effect of intra-industry trade for agricultural products as well as the impacts of renewable energy use, agricultural land productivity, and economic growth on CO2 emissions.


2020 ◽  
Vol 9 (2) ◽  
pp. 234
Author(s):  
Harith Hadi Mohammed AlDarraji ◽  
Amir Bakir

The study aimed to define and assess the impact of renewable energy on economic growth. It used panel data for 18 countries during the period 2008-2015. The FMOLS econometric technicality was used to estimate the relevant relations between the independent variables, namely; renewable energy, capital, labor and trade openness and the dependent variable, real GDP per capita. The study found that renewable energy affects economic growth positively, however, the elasticity was highly inelastic. Also, the study found positive and significant relationships between economic growth and the other three independent variables with inelastic elasticities. The study concluded that countries should be encouraged to invest in renewable energy and gradually decrease their dependence on conventional energy. Also, it highly recommended to remove all obstacles facing the development of renewable energy.


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