Impact of renewable energy consumption, globalization, and technological innovation on environmental degradation in Japan: application of wavelet tools

Adebayo, Tomiwa Sunday; Kırıkkaleli, Derviş

doi:10.1007/s10668-021-01322-2

Cited by 385 publications

(178 citation statements)

References 58 publications

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“…REC was incorporated into the model in line with the studies of Kirikkaleli and Adebayo [40], Ahmed et al [7] and Adebayo and Kirikkaleli [40]. Additionally, we incorporate GLO into the model following the studies of Kirkkaleli et al [41], Adebayo and Kirikkaleli [2] and Oluwajana et al [27]. Lastly, we introduced TI into the model following the studies of Kirikkaleli and Adebayo [30], Khan et al [42] and Shahbaz et al [10].…”

Section: Methodsmentioning

confidence: 99%

“…Global warming has never before posed such a significant threat to human lives and activity. The presence of air contamination and severe weather conditions, as is regularly witnessed, pose substantial health risks to humans [2]. In this respect, it is critical to pay significant awareness to the topic of climate change; else, the dangers and concerns associated with climate change, which are predicted to rise in the future years, will have disastrous consequences for safety and human health [3,4].…”

Section: Introductionmentioning

confidence: 99%

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Modeling the Dynamic Linkage between Renewable Energy Consumption, Globalization, and Environmental Degradation in South Korea: Does Technological Innovation Matter?

et al. 2021

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The present research assesses the influence of globalization and technological innovation on CO2 emissions in South Korea as well as taking into account the role of renewable energy consumption and energy consumption utilizing datasets between 1980 and 2018. The autoregressive distributed lag (ARDL) bounds testing method is utilized to assess long-run cointegration. The outcome of the ARDL bounds test confirmed cointegration among the series. Furthermore, the ARDL reveals that economic growth, energy consumption and globalization trigger environmental degradation while technological innovation improves the quality of the environment. In addition, the study employed the frequency domain causality test to capture causal linkage among the series. The major advantage of this approach is that causal linkage between series can be captured at the short, medium and long term, respectively. The outcomes of the causality test revealed that globalization, technological innovation, economic growth and energy use can predict CO2 emissions in South Korea.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Modeling the Dynamic Linkage between Renewable Energy Consumption, Globalization, and Environmental Degradation in South Korea: Does Technological Innovation Matter?

et al. 2021

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“…As a consequence, the composition effect predicts that a nations’ structural move from the industrial to the service sector would reduce the negative environmental effects of economic development. Lastly, the technique effect demonstrates that when a nation’s wealth grows, it embraces new and advanced technologies that increase output whilst reducing pollution [ 32 ]. Renewables such as hydroelectricity consumption are ways of mitigating environmental degradation.…”

Section: Literature Reviewmentioning

confidence: 99%

Linking Economic Growth, Urbanization, and Environmental Degradation in China: What Is the Role of Hydroelectricity Consumption?

Adebayo

Agboola

Rjoub

et al. 2021

IJERPH

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Achieving environmental sustainability has become a global initiative whilst addressing climate change and its effects. Thus, this research re-assessed the EKC hypothesis in China and considered the effect of hydroelectricity use and urbanization, utilizing data from 1985 to 2019. The autoregressive distributed lag (ARDL) bounds testing method was utilized to assess long-run cointegration, which is reinforced by a structural break. The outcome of the ARDL bounds test confirmed cointegration among the series. Furthermore, the ARDL revealed that both economic growth and urbanization trigger environmental degradation while hydroelectricity improves the quality of the environment. The outcome of the ARDL also validated the EKC hypothesis for China. In addition, the study employed the novel gradual shift causality test to capture causal linkage among the series. The advantage of the gradual shift causality test is that it can capture gradual or smooth shifts and does not necessitate previous information of the number, form of structural break(s), or dates. The outcomes of the causality test revealed causal connections among the series of interest.

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“…Climate change is largely caused by increasing greenhouse gas emissions (GHGs). Human practices, such as the use of non-renewable resources (NRE), contribute to GHG emissions, which in turn contribute to global warming [ 1 ]. The accumulation of CO 2 emissions in the environment has increased, with far-reaching effects including flooding, violent storms, melting glaciers, droughts, and increasing sea levels [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

Dominance of Fossil Fuels in Japan’s National Energy Mix and Implications for Environmental Sustainability

Adebayo

Awosusi²,

Oladipupo

et al. 2021

IJERPH

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Despite the drive for increased environmental protection and the achievement of the Sustainable Development Goals (SDGs), coal, oil, and natural gas use continues to dominate Japan’s energy mix. In light of this issue, this research assessed the position of natural gas, oil, and coal energy use in Japan’s environmental mitigation efforts from the perspective of sustainable development with respect to economic growth between 1965 and 2019. In this regard, the study employs Bayer and Hanck cointegration, fully modified Ordinary Least Square (FMOLS), and dynamic ordinary least square (DOLS) to investigate these interconnections. The empirical findings from this study revealed that the utilization of natural gas, oil, and coal energy reduces the sustainability of the environment with oil consumption having the most significant impact. Furthermore, the study validates the environmental Kuznets curve (EKC) hypothesis in Japan. The outcomes of the Gradual shift causality showed that CO2 emissions can predict economic growth, while oil, coal, and energy consumption can predict CO2 emissions in Japan. Given Japan’s ongoing energy crisis, this innovative analysis provides valuable policy insights to stakeholders and authorities in the nation’s energy sector.

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Impact of renewable energy consumption, globalization, and technological innovation on environmental degradation in Japan: application of wavelet tools

Cited by 385 publications

References 58 publications

Modeling the Dynamic Linkage between Renewable Energy Consumption, Globalization, and Environmental Degradation in South Korea: Does Technological Innovation Matter?

Modeling the Dynamic Linkage between Renewable Energy Consumption, Globalization, and Environmental Degradation in South Korea: Does Technological Innovation Matter?

Linking Economic Growth, Urbanization, and Environmental Degradation in China: What Is the Role of Hydroelectricity Consumption?

Dominance of Fossil Fuels in Japan’s National Energy Mix and Implications for Environmental Sustainability

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