The nexus between renewable energy consumption and human development in BRICS countries: The moderating role of public debt

Wang, Zhaohua; Bui, Quocviet; Zhang, Bin; Nawarathna, C. L. K.; Mombeuil, Claudel

doi:10.1016/j.renene.2020.10.144

Cited by 82 publications

(42 citation statements)

References 58 publications

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“…The outcome does not comply with the research of Apergis et al (2010) for 19 advanced and emerging nations and Menyah and Wolde-Rufael (2010) for the US who established positive interconnection between renewable energy usage and environmental degradation. The outcome from the present study complies with prior studies (Kirikaleli & Adebayo, 2020;Shafiei & Salim, 2014;Wang, et al 2021;Khan et al 2020) who established that increase in renewable energy helps in mitigating environmental degradation. The probable cause for the negative association is because renewable technology utilizes pure and cleaner energy sources that are safe and gratify current and future necessities, whereas it…”

supporting

confidence: 90%

Determinants of Consumption-Based Carbon Emissions in Chile: Application of Non-Linear ARDL

Adebayo

Udemba

Ahmed

et al. 2021

Preprint

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In recent years, a growing number of scholars have employed various proxies of environmental degradation to understand the reasons behind rising environmental degradation. However, very few studies consider consumption-based carbon emissions even though a clear understanding of the impact of consumption patterns is essential to redirecting the pattern to more sustainable consumption. Thus, this study takes a step forward by using consumption-based carbon emissions (CCO2) as a proxy of environmental degradation using the novel non-linear ARDL. To the understanding of the investigators, no prior studies have investigated the drivers of consumption-based carbon emissions utilizing non-linear ARDL. The study employed ADF and KSS (non-linear) tests to check the stationary level of the data series. Additionally, the symmetric and asymmetric ARDL approaches are utilized to explore cointegration and long-run linkages. The results could not find symmetric cointegration among variables; however, the empirical estimates divulge the long-run asymmetric connection of indicators with the CCO2 emissions. The novel results from the asymmetric ARDL unfold that negative and positive changes in economic growth deteriorate the quality of the environment. Interestingly, a reduction in economic growth has a more dominant contribution to environmental degradation. Moreover, positive changes in renewable energy usage improve the quality of the environment in Chile inferring that Chile can achieve a reduction in environmental degradation by boosting renewable energy consumption. Surprisingly, the study found the ineffectiveness of technological innovation in reducing consumption-based carbon emissions which implies that technological innovation in Chile is not directed towards manufacturing green technology. Finally, the policy implications are discussed to reduce consumption-based carbon emissions.

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supporting

confidence: 90%

Determinants of Consumption-Based Carbon Emissions in Chile: Application of Non-Linear ARDL

Adebayo

Udemba

Ahmed

et al. 2021

Preprint

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“…Although kriging has been shown to improve interpolation results (Wang et al, 2021), most studies have not considered local geographic characteristics, since geostatistical methods create an unbiased surface. Its limitation in large areas is related to their spatial extent, whereas for small areas this detailing improves the accuracy of the estimates.…”

Section: Methodsmentioning

confidence: 99%

Method for estimating the wind power micro and minigeneration applied to a city with a subtropical climate in south America

Guicho

Ferreira

Medeiros

et al. 2021

RSD

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The search for renewable resources has become necessary for sustainable development. Wind energy is a clean energy source and of global importance, but most studies refer to high altitude and are carried out by researchers in developed countries. In this work, the objective was to evaluate the potential of micro and mini-generation (low heights) wind power in Cascavel-PR, a city located in southern Brazil, as an example of the application of the proposed methodology. For this purpose, wind speed and direction data were used, with a historical series of 21 years (1997-2017). The land use and occupation were performed in a semi-automatic way using Sentinel-2 satellite images. To generate the maps, an algorithm was created in Spring software, which correlated the land use and land cover information, the wind speed kriging and the formula coefficient values according to the identified obstacles. With this it was possible to conclude that regarding the period, spring is considered the season of the year with the greatest energy potential, where the highest averages for speed and power were estimated. It was also noted that the 40-meter-high range has the greatest potential and that the prevailing winds come from the northeast.

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“…Industries are attempting to utilize the combination of renewable and non-renewable energy to reduce electric energy costs due to production and maintenance by utilizing renewable energy (Khan et al, [7]). Due to considerable technological development, the energy consumption is increasing continuously (Wang et al, [8]). As a result, the necessity of renewable energy is also increasing.…”

Section: Renewable Energymentioning

confidence: 99%

Effect of Renewable Energy to Reduce Carbon Emissions under a Flexible Production System: A Step Toward Sustainability

Sarkar

Chung

2021

Energies

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Renewable energy and environmental issues are receiving considerable attention worldwide along with the technological development of production system for reducing global warming. Due to the use of smart technologies, the rate of carbon emission and energy utilization have become very high and are directly related to different industries. This study focuses on the effect of renewable energy on the advancement of smart production with a flexible production rate as well as the reduction of carbon emission to build a sustainable smart production system. A mathematical model is developed to maximize the profit of the smart production system for economic development while considering technological and environmental issues. The model is solved analytically, and we obtain closed and quasi-closed form solutions. A numerical experiment is performed, and a comparison with previous studies indicates that our method achieves more profit than existing ones. Additionally, we highlight the major effect of renewable energy. Different graphical representations of the decision variables prove the convergence of the model. A sensitivity analysis and graphical representation are presented in this paper, and some recommendations for industry are provided by simulating this model in different scenarios.

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The nexus between renewable energy consumption and human development in BRICS countries: The moderating role of public debt

Cited by 82 publications

References 58 publications

Determinants of Consumption-Based Carbon Emissions in Chile: Application of Non-Linear ARDL

Determinants of Consumption-Based Carbon Emissions in Chile: Application of Non-Linear ARDL

Method for estimating the wind power micro and minigeneration applied to a city with a subtropical climate in south America

Effect of Renewable Energy to Reduce Carbon Emissions under a Flexible Production System: A Step Toward Sustainability

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