Modeling the determinants of renewable energy consumption in Nigeria: Evidence from Autoregressive Distributed Lagged in error correction approach

Somoye, Oluwatoyin Abidemi; Özdeşer, Hüseyin; Seraj, Mehdi

doi:10.1016/j.renene.2022.03.143

Cited by 35 publications

(6 citation statements)

References 40 publications

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“…As a result, both the public and private sectors will probably exhibit a greater inclination toward adopting and investing in renewable energy sources, consequently increasing their utilization. These outcomes align with prior studies [55][56][57].…”

Section: Panel Qardlsupporting

confidence: 88%

The Effect of Environmental Smart Technology and Renewable Energy on Carbon Footprint: A Sustainability Perspective from the MENA Region

Alofaysan

2024

Energies

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This paper looks at the changing impact of renewable energy and green innovation on the carbon footprint of eight MENA nations between 2000 and 2020. We investigate this by using the panel Q-ARDL model for the first time, and we find that, with various impacts across different quantiles, a rise in green innovation and renewable energy greatly boosts environmental sustainability in the short run. In the long run, this effect becomes increasingly more noticeable. According to our analysis, the chosen MENA countries quickly embraced energy storage, solar hydrogen, and other technology pathways to diversify their energy mix, which was a turning point in the fight against climate change. Although these factors have been separately examined in different studies, our research merges them into a single non-parametric model. This research is significant as it provides empirical evidence on the efficiency of green innovation and renewable energy policies, and it will guide policymakers and energy stakeholders in developing strategies to achieve sustainable development goals.

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Section: Panel Qardlsupporting

confidence: 88%

The Effect of Environmental Smart Technology and Renewable Energy on Carbon Footprint: A Sustainability Perspective from the MENA Region

Alofaysan

2024

Energies

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“…The log of the variables in Table 2 was considered to eradicate outliers and control for unevenness of data (Somoye et al, 2022). It is essential to emphasize that the choice of variables in this research is grounded in a review of the existing literature and has been specifically tailored to suit the characteristics of the Nigerian economy.…”

Section: Theoretical Framework Data and Methodsmentioning

confidence: 99%

“…In addition, economic prosperity can be hindered by climate change (Balsalobre‐Lorente et al, 2020; Kirikkaleli et al, 2021). Greenhouse gases (GHGs) spur climate change, with carbon dioxide (CO 2 ) having the most negative environmental impact (Somoye et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Modelling the connection between energy intensity, renewable energy, globalization, technological innovation and CO₂ emissions: A Quantile–on–Quantile technique

Somoye,

Seraj,

Ozdeser

et al. 2024

Geological Journal

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As Nigeria progresses towards reaching net‐zero emissions by 2060, it is crucial to identify the factors responsible for environmental deterioration and those that enhance ecological well‐being. It is equally significant to emphasize that Nigeria's economy is heavily dependent on fossil fuels, which have proven unsustainable and environmentally unsafe. As a result, this research investigates the impact of energy intensity (EINT), renewable energy consumption (RENC), globalization (GLOX), technological innovation (TINV) and carbon dioxide emissions (CO2) in Nigeria from 1990Q1–2019Q4. The methods employed include Quantile–on–Quantile (QQ) and non–parametric causality. The QQ method reveals that EINT has both positive and negative impacts on CO2, varying in magnitude from 3 to −5. Higher quantiles of RENC tend to influence CO2 positively, whereas the lower quantile has a negative impact. Negative shocks of GLOX on CO2 have less impact, with a maximum magnitude of −1 at the upper quantile of CO2. In contrast, the positive shocks seem to have a stronger impact and vary in magnitude. TINV has negative shocks across all quantiles. In addition, a significant causality is observed in the upper, middle and lower quantiles. This study suggests that policymakers should implement policies encouraging investments in renewable energy and green technologies.

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“…The log of each variable is considered to control for outliers (Somoye et al, 2022). Thus, equation 1 will be:…”

Section: Data Theoretical Framework and Methodologymentioning

confidence: 99%

The Impact of Technological Advancement on Unemployment in Turkey

Alfred,

Seraj,

Ozdeser

2024

GES

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Technological advancements have been reshaping industries and economies worldwide. As technology evolves, questions arise about its impact on employment. This study aims to investigate the relationship between technological advancement and unemployment over the period from 1991 to 2020. The objective of this research is to examine the influence of various factors, including Patent Assistance (PA) residents, Gross Domestic Product per capita (GDPpc), Gross Capital Formation (GCF), and the Consumer Price Index (CPI), on the unemployment rate (UEMP). We seek to understand these variables’ long-term and short-term effects on unemployment. We utilized data from the World Bank for our analysis. The study employed the Auto Regressive Distributed Lag (ARDL) methodology to explore the dynamics between technological advancement and unemployment. This method allows us to investigate both short-term and long-term relationships. Our analysis revealed interesting insights. In the long run, we observed that GCF and CPI negatively influenced unemployment, indicating that an increase in these variables is associated with a reduction in unemployment. However, PA had a positive impact on UEMP, although this effect was not statistically significant. In the short term, GCF, GDPpc, and CPI all had a negative effect on UEMP. These findings carry important policy implications. They suggest that fostering startups and entrepreneurial ventures can drive technological innovation and job creation. To support this, policymakers should focus on creating an enabling environment for startups by reducing bureaucratic barriers, streamlining business registration processes, and providing financial and mentoring support. Encouraging entrepreneurship has the potential to unleash innovative ideas, create new ventures, and generate employment opportunities, particularly for the youth population.

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Modeling the determinants of renewable energy consumption in Nigeria: Evidence from Autoregressive Distributed Lagged in error correction approach

Cited by 35 publications

References 40 publications

The Effect of Environmental Smart Technology and Renewable Energy on Carbon Footprint: A Sustainability Perspective from the MENA Region

The Effect of Environmental Smart Technology and Renewable Energy on Carbon Footprint: A Sustainability Perspective from the MENA Region

Modelling the connection between energy intensity, renewable energy, globalization, technological innovation and CO₂ emissions: A Quantile–on–Quantile technique

The Impact of Technological Advancement on Unemployment in Turkey

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Modeling the determinants of renewable energy consumption in Nigeria: Evidence from Autoregressive Distributed Lagged in error correction approach

Cited by 35 publications

References 40 publications

The Effect of Environmental Smart Technology and Renewable Energy on Carbon Footprint: A Sustainability Perspective from the MENA Region

The Effect of Environmental Smart Technology and Renewable Energy on Carbon Footprint: A Sustainability Perspective from the MENA Region

Modelling the connection between energy intensity, renewable energy, globalization, technological innovation and CO2 emissions: A Quantile–on–Quantile technique

The Impact of Technological Advancement on Unemployment in Turkey

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Product

Resources

About

Modelling the connection between energy intensity, renewable energy, globalization, technological innovation and CO₂ emissions: A Quantile–on–Quantile technique