scholarly journals Nuclear Energy Consumption and CO2 Emissions in India: Evidence from Fourier ARDL Bounds Test Approach

Author(s):  
Onder Ozgur ◽  
Veli Yilanci ◽  
Maxwell Kongkuah
2019 ◽  
Vol 12 (1) ◽  
pp. 5 ◽  
Author(s):  
Masnun Mahi ◽  
Seuk Wai Phoong ◽  
Izlin Ismail ◽  
Che Ruhana Isa

This study examines the relationship between energy consumption, financial development and economic growth for ASEAN-5 countries, namely Malaysia, Indonesia, the Philippines, Singapore and Thailand, over the period from 1980 to 2017. Finance–growth and energy–growth relationships have been well researched; however, the energy–finance–growth nexus is an equally important but less explored area. Our Auto Regressive Distributed Lags (ARDL) bounds test for cointegration results suggests that the variables tend to move together in the long run for all countries, apart from Indonesia. Our study also considers the effect of a structural break due to financial crisis and confirms that the break does not affect the long-term relationship among the variables; in other words, the financial crisis does not affect the energy–finance–growth nexus. Hence, considering the consistency of energy consumption, the importance of the energy sector must not be undermined, and appropriate energy policies are instrumental in maintaining a well-managed financial sector for sustainable economic growth.


Author(s):  
Gerard Bikorimana ◽  
Charles Rutikanga ◽  
Didier Mwizerwa

This paper analyzes the link between energy consumption and economic growth in Rwanda for the period 1985-2017. The ARDL bounds test was used to test for the existence of co-integration, while the Toda and Yamamoto granger causality test was applied to test for causal direction. The results from the estimation of the ARDL bounds test showed that there was no evidence of co-integration between the considered variables under study. Additionally, the empirical findings confirmed that there was no relationship between economic growth and energy consumption in Rwanda. The findings supported the "neutrality hypothesis" between energy consumption and economic growth. This implies that neither conservative nor expansive policies in relation to energy consumption have any effect on economic growth. Furthermore, the study found a uni-directional granger causality running from energy consumption to economic growth. The results of this findings are consistent with the "growth hypothesis" which postulates that energy consumption leads to economic growth


2016 ◽  
Vol 4 (2) ◽  
pp. 114
Author(s):  
Samia Gmidene ◽  
Saida Zaidi ◽  
Sonia Zouari Ghorbel

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.


Energies ◽  
2020 ◽  
Vol 13 (9) ◽  
pp. 2124 ◽  
Author(s):  
Mariola Piłatowska ◽  
Andrzej Geise ◽  
Aneta Włodarczyk

This study examines the relationship between renewable and nuclear energy consumption, carbon dioxide emissions and economic growth by using the Granger causality and non-linear impulse response function in a business cycle in Spain. We estimate the threshold vector autoregression (TVAR) model on the basis of annual data from the period 1970–2018, which are disaggregated into quarterly data to obtain robust empirical results through avoiding a sample size problem. Our analysis reveals that economic growth and CO2 emissions are positively correlated during expansions but not during recessions. Moreover, we find that rising nuclear energy consumption leads to decreased CO2 emissions during expansions, while the impact of increasing renewable energy consumption on emissions is negative but insignificant. In addition, there is a positive feedback between nuclear energy consumption and economic growth, but unidirectional positive causality running from renewable energy consumption to economic growth in upturns. Our findings do indicate that both nuclear and renewable energy consumption contribute to a reduction in emissions; however, the rise in economic activity, leading to a greater increase in emissions, offsets this positive impact of green energy. Therefore, a decoupling of economic growth from CO2 emissions is not observed. These results demand some crucial changes in legislation targeted at reducing emissions, as green energy alone is insufficient to reach this goal.


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