Renewable energy, fiscal policy and load capacity factor in BRICS countries: novel findings from panel nonlinear ARDL model

Environment Development and Sustainability, Journal Year: 2023, Volume and Issue: 26(2), P. 4365 - 4389

Published: Jan. 7, 2023

Language: Английский

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New insights from the STIPART model on how environmental-related technologies, natural resources and the use of the renewable energy influence load capacity factor

Gondwana Research, Journal Year: 2023, Volume and Issue: 129, P. 398 - 411

Published: June 7, 2023

Language: Английский

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Assessing the nexus between human capital, green energy, and load capacity factor: Policymaking for achieving sustainable development goals

Gondwana Research, Journal Year: 2023, Volume and Issue: 129, P. 452 - 464

Published: April 26, 2023

Language: Английский

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Evaluating the role of the share and intensity of renewable energy for sustainable development in Germany

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 421, P. 138482 - 138482

Published: Aug. 17, 2023

Language: Английский

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How green-technology, energy-transition and resource rents influence load capacity factor in South Africa

International Journal of Sustainable Energy, Journal Year: 2024, Volume and Issue: 43(1)

Published: Feb. 2, 2024

Climate change is gradually rising to a level that portends an existential threat humanity. Nevertheless, environmental modellers, particularly in South Africa, still rely on restrictive quality metrics for policy insights. Here, comprehensive metric (load capacity factor [LCF]) captures both the demand and supply sides of qualities was activated. With dataset (1970–2018), estimates autoregressive distributive lag quantile-ARDL underscored varied effects selected factors LCF. It unravelled green-technology significantly improved LCF only at upper quantile but remained ineffective afterwards. Notably, substantially some quantiles following transition clean energy. Resource rents promoted partially middle towards lower distributions. Economic growth within quantiles, whereas it minimised quantiles. We have provided relevant insights therein.

Language: Английский

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Oil prices and the load capacity factor in African oil-producing OPEC members: Modeling the symmetric and asymmetric effects

Resources Policy, Journal Year: 2024, Volume and Issue: 89, P. 104598 - 104598

Published: Jan. 1, 2024

Language: Английский

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A path towards environmental sustainability: exploring the effects of technological innovation and investment freedom on load capacity factor

International Journal of Sustainable Development & World Ecology, Journal Year: 2024, Volume and Issue: 31(6), P. 695 - 706

Published: March 13, 2024

This study examines the impact of investment freedom, technological innovation, renewable energy, and economic growth on load capacity factor (LCF) within context Sustainable Development Goals (SDGs) 7 13 for a group high freedom countries (Luxembourg, Germany, Austria, Australia, Canada, Denmark, Netherlands, United Kingdom, Chile, Singapore, New Zealand, States America, Belgium, Finland, Uruguay, Latvia, Spain, Sweden, Switzerland). Furthermore, this research assesses impacts achieving carbon neutrality by 2030. The data set covers years between 1995 2019. Moreover, validity curve (LCC) hypothesis is analyzed in all countries. Long-run coefficients are estimated using Regularized Common Correlated Effects (rCCE) estimator, robustness analysis performed (CCE) estimators. overall assessment panel reveals that LCC invalid selected nations, with exception Belgium. Other findings indicate reduces LCF Zealand. However, increases LCF, improving environmental quality Latvia. Technological innovation decreases Singapore it Germany. Renewable energy UK Spain. Finally, policy implications discussed.

Language: Английский

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Dynamic interactions of green innovations, green transitions and ecological load capacity factor in BRICS

Renewable Energy, Journal Year: 2024, Volume and Issue: 231, P. 120905 - 120905

Published: July 2, 2024

Prior studies ignored the dimensions of green innovations, energies, and resource utilization on ecological load capacity factors (LCF). Besides, environmental modellers, particularly in Brazil, Russia, India, China, South Africa (BRICS), failed to consider perspective LCF. Remarkably, LCF explains peculiarities natural environment's demand supply sides. Panel series relevant predictors during 1980–2021 were analysed for empirical inferences. The method moments quantile regression (mmqr), fully generalized least squares, Prais-Winsten panel regression, augmented mean group, cross-sectional autoregressive distributed lags undergirded analysis. Applying panel-frequency domain Granger causality test enriches novel study. Cointegration was established based Westerlund Banerjee & Carrion-i-Silvestre procedures. Notably, technologies produced unimpressive positive effects LCF, whereas transition significant appealing at location across distributions. This further highlights poor status within BRICS. Among control variables, urbanization contributed more significantly lowering than economic expansions. findings underscored essence innovations transitions improved

Language: Английский

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Navigating renewable technological innovations and green supply chain management: Crafting a novel framework for boosting ecological quality in China

Energy Economics, Journal Year: 2025, Volume and Issue: unknown, P. 108178 - 108178

Published: Jan. 1, 2025

Language: Английский

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Load capacity factor and carbon emissions: Assessing environmental quality among MINT nations through technology, debt, and green energy

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 428, P. 139282 - 139282

Published: Oct. 12, 2023

Language: Английский

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