The Impact of Energy (Electricity) Losses on Load Capacity Factor: A Dynamic ARDL-Based Evidence from Pakistan

Process Safety and Environmental Protection, Journal Year: 2024, Volume and Issue: 190, P. 276 - 287

Published: July 30, 2024

Language: Английский

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Analyzing economic growth, eco-innovation, and ecological quality nexus in E-7 countries: accounting for non-linear impacts of urbanization by using a new measure of ecological quality

Environmental Science and Pollution Research, Journal Year: 2023, Volume and Issue: 30(41), P. 94242 - 94254

Published: Aug. 2, 2023

Language: Английский

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Drivers of sustainable natural capital, forest capital, and green growth in Sweden: Rise and fall scenario of material productivity

Ecological Indicators, Journal Year: 2023, Volume and Issue: 151, P. 110308 - 110308

Published: May 3, 2023

Given Sweden's impressive performance on green growth among the European Union countries, this study is focuses examining responses of growth, sustainable natural capital, forest and carbon footprint to environmental-related innovation material productivity while employing population control for unobserved forces. By dataset that spans over 1970–2019 alongside using suitable econometric approaches, short- long-run relationships Granger causality evidence are provided. The revelation from result shows promotes capital (by elasticity ∼ 0.04), 0.13), improves 0.01), but spur footpint 0.01) especially in long-run. Importantly, investigation further reveals exhibits an inverted U-shaped relationship with emission, thus affirming validity Kuznets curve (MPKC) i.e., rise fall scenario productivity. Meanwhile, produces desirable emission outcomes, it hampers both long run. these results, relevant implementable policy guidelines highlighted makers other stakeholders Sweden.

Language: Английский

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Evaluating the determinants of load capacity factor in Japan: The impact of economic complexity and trade globalization

Natural Resources Forum, Journal Year: 2023, Volume and Issue: 48(3), P. 743 - 762

Published: Sept. 3, 2023

Abstract Sustainable growth and the reduction of environmental pressures are important priorities that issues concern for both developed developing countries. However, while carbon emissions ecological footprint commonly used by researchers in context deterioration, a broader more extensive metric quality is considered necessary. From this perspective, load capacity factor provides detailed sustainable environment appraisal simultaneously considering biocapacity footprint. Limited studies have examined determinants (LCAP). This survey attempts to fill gap, using case Japan. Employing dynamic ARDL approaches, present research investigates effect renewable energy usage, economic growth, complexity, financial development, trade globalization on Japan period between 1980 2017. The empirical evidence indicates development adversely impact LCAP, whereas usage positively affect LCAP. Hence, we recommend it essential attain self‐sufficiency goods minimize its reliance rest world. Furthermore, policymakers should capitalize benefits adopting additional measures aimed at facilitating liberalization.

Language: Английский

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Sustainable Growth through Green Electricity Transition and Environmental Regulations: Do Risks Associated with Corruption and Bureaucracy Matter?

Politická ekonomie, Journal Year: 2023, Volume and Issue: 72(2), P. 228 - 254

Published: Dec. 11, 2023

Electricity production strategies of countries rely on fossil fuel-based electricity generation.Environmental regulations (ER) are needed to shift green for achieving energy transition, but corruption and bureaucracy can influence ER, transition ecological quality.Hence, this research considers two important constituents country risks including in the model while understanding connections between electricity, ER load capacity factor (LCF) BRICS from 1992 2018.The chooses a recent proxy quality (i.e., LCF), which effectively measures indicates possibility sustainable growth by using biocapacity footprint figures.The results disclose that Granger-causes enhances LCF, whereas controlling enhancing improves quality.ER environmental curve (LCC) hypothesis also exists.Lastly, policy directions discussed.

Language: Английский

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Moving towards a sustainable environment in the BRICS Economies: What are the effects of financial development, renewable energy and natural resources within the LCC hypothesis?

Resources Policy, Journal Year: 2023, Volume and Issue: 88, P. 104457 - 104457

Published: Dec. 6, 2023

Language: Английский

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The effects of foreign direct investment on environmentally related technologies in Latin America

Resources Policy, Journal Year: 2024, Volume and Issue: 90, P. 104711 - 104711

Published: Feb. 6, 2024

Language: Английский

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A novel panel of European economies pursuing carbon neutrality: Do current climate technology and renewable energy practices really pass through the prism of sustainable development?

Gondwana Research, Journal Year: 2025, Volume and Issue: 139, P. 260 - 271

Published: Jan. 5, 2025

Language: Английский

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Enhanced Extreme Learning Machine via Competitive Learning SSA (CL-SSA) for Load Capacity Factor Prediction

Heliyon, Journal Year: 2025, Volume and Issue: 11(2), P. e41892 - e41892

Published: Jan. 1, 2025

Extreme Learning Machine (ELM) is known for its fast training speed and simplicity of implementation; however, it suffers from certain limitations, including sensitivity to random initialization inadequate weight optimization, which can result in suboptimal accuracy precision. This study introduces an enhanced Competitive Salp Swarm Algorithm (CLSSA), integrates the (SSA) with Optimization (CSO) improve exploitation capabilities traditional CSO. The goal address limitations ELM by optimizing weights biases network more effectively, thereby improving precision convergence ELM. research first evaluates efficiency improvement made CLSSA optimizer comparison various optimization methods, using CEC 2015 benchmark functions demonstrate effectiveness proposed improvements. results show that outperforms other optimizers 86 % functions, underscoring superior capabilities. Furthermore, assesses CLSSA-enhanced (ELM-CLSSA) predicting load capacity factor. findings reveal hybrid ELM-CLSSA framework significantly both alternative approaches terms prediction accuracy, achieving impressive rate 97%. algorithm's rapid convergence, high precision, ability avoid local optima make a promising solution complex problems, such as factor prediction, critical environmentally sustainable initiatives. In addition, feature analysis conducted provides valuable insights into key variables influencing highlighting importance factors coal energy, economic growth, technological innovation, biomass. advocates use reliability offering tool scientists policymakers their efforts promote ecological conservation combat climate change.

Language: Английский

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After the Johannesburg II Declaration, What Next for Ecological Sustainability in BRICS? Perspectives on Green Innovations and Green Transitions

Sustainable Development, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 14, 2025

ABSTRACT Advancing ecological sustainability, a major focus of the SDGs, necessitates evaluating influence green energy, sustainable technology, and resource utilization on load capacity factors—an area that has remained underexplored in existing research. Also, LCF method, which elucidates unique features supply demand dynamics natural environment, is still not used by BRICS environmental modelers. This study examined panel data pertinent predictors spanning from 1980 to 2021. The analysis utilized several advanced methodologies, new viewpoint was presented through application panel‐frequency domain Granger causality test. results demonstrate (i) transitions notably enhance across various quantile distributions, (ii) technologies exert moderately positive LCF. suggests ongoing shifts towards clean energy encouragement eco‐friendly technological innovations necessitate well‐planned policies within nations.

Language: Английский

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