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, Год журнала: 2023, Номер 129, С. 398 - 411

Опубликована: Июнь 7, 2023

Язык: Английский

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The Dynamic Impacts of Economic Growth, Financial Globalization, Fossil Fuel, Renewable Energy, and Urbanization on Load Capacity Factor in Mexico

Sustainability, Год журнала: 2023, Номер 15(18), С. 13462 - 13462

Опубликована: Сен. 8, 2023

This study explores the interplay among economic growth, financial globalization, urbanization, fossil fuel consumption, and renewable energy usage their combined impact on load capacity factor in Mexico. research employs as a unique measure of ecological health, facilitating comprehensive ecosystem assessment by sequentially evaluating biocapacity effects. Using time series data spanning from 1971 to 2018, this Autoregressive Distributed Lag (ARDL) method analyze both long-term short-term dynamics cointegration. The findings reveal that usage, urbanization reduce Mexico’s factor, thereby diminishing environmental quality. In contrast, adoption sources influence globalization exhibit positive effects over long short term. These outcomes remain consistent even when compared with alternative estimation techniques, including dynamic ordinary least squares (DOLS), fully modified (FMOLS), canonical cointegrating regression (CCR). As priority, Mexican policymakers should accelerate transition sources, encourage sustainable urban development, foster more ecologically conscious agenda. Furthermore, promoting greener technologies can enhance mitigate degradation. Ultimately, Mexico establish an environment conducive expanding investments encouraging cross-border investments, enabling global trade services, cultivating greater integration capital markets.

Язык: Английский

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Do investments in green energy, energy efficiency, and nuclear energy R&D improve the load capacity factor? An augmented ARDL approach

Geoscience Frontiers, Год журнала: 2023, Номер 15(4), С. 101646 - 101646

Опубликована: Июнь 10, 2023

Renewable energy, energy efficiency, and nuclear research development (RER, EER, NER) budgets are immensely important to fulfill sustainable goals 7, 9, 13, by accelerating innovation, transition, climate control. The literature on the drivers of load capacity factor (LCF), a recently developed ecological quality measure, is mounting; however, roles investments in LCF largely unknown. Accordingly, this study assesses impacts RER, NER, financial globalization (FIG) using data from 1974 2018 for Germany. Advanced reliable time series tests (Augmented ARDL, DOLS, Fourier causality) adopted analyze cointegration, long-run impacts, causal connections. outcomes unveil that both green efficiency R&D promote enhancing quality. However, positive impact NER found be weaker than RER EER. FIG curbs degradation expanding LCF. Additionally, U-shaped connection between economic growth (ECG) confirms curve. Therefore, policymakers should focus EER preserve environment growth.

Язык: Английский

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Investigation of the effect of natural resource dependence on environmental sustainability under the novel load capacity curve hypothesis

International Journal of Sustainable Development & World Ecology, Год журнала: 2023, Номер 31(4), С. 431 - 446

Опубликована: Дек. 25, 2023

The concern that over-depleting natural resources (NAT) may somehow be costly for environmental quality is a recurrent topic in empirical analysis. However, the literature has predominantly focused on studying effects of increases NAT use environment, ignoring potential non-linear interactions. current study seeks to expand previous by examining ramifications Russia, home one world's richest resource reserves. In this regard, adopting load capacity factor (LCF) as an indicator, examines how positive and negative changes affect country's well-being within framework N-ARDL model 1992–2021. This uses artificial intelligence unit root asymmetric Fourier causality approach robustness Empirical evidence suggests shocks have deleterious influence LCF, while contribute well-being. Nonetheless, long-term shock decreases LCF greater amount than it. results also demonstrate 'U-shaped' connection between income growth ecological well-being, confirming validity LCC hypothesis. Furthermore, outcomes reveal renewable energy consumption human capital upgrade quality. Therefore, Russian policymakers should focus SDG 7, 12, 13 targets, which refer substantially increasing primary secondary education, share green total mix, effective management utilization.

Язык: Английский

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A new look at China’s environmental quality: how does environmental sustainability respond to the asymmetrical behavior of the competitive industrial sector?

International Journal of Sustainable Development & World Ecology, Год журнала: 2023, Номер 31(1), С. 16 - 28

Опубликована: Авг. 17, 2023

ABSTRACTThis research aims to expand the existing literature by bringing a new perspective China's environmental quality. Existing concerning sustainability disregards competitive industrial performance, which allows analysis of Sustainable Development Goal-9. The study investigates impact economic growth, and renewable energy consumption on quality (represented load capacity factor) within curve framework. Considering positive negative shocks in competitiveness, runs novel asymmetric ARDL with Fourier terms method examine non-linear connection between competitiveness environment. Empirical shows that asymmetrically affects hypothesis is invalid China. It also evident contributes Based these findings, presents sustainable development policies for China framework SDG targets. In this context, country's rapid growth higher-order strategies need be redesigned order increase share high-tech activities total manufacturing portion use. Accordingly, Chinese policymakers' primary objectives should regulations guide fundamental principles enhancing while preserving advantage process.KEYWORDS: Chinacompetitive performanceFourier transformsrenewable energysustainable goals Disclosure statementNo potential conflict interest was reported authors.Availability data materialsThe datasets generated during and/or analysed current are available from corresponding author reasonable requestNotes1. time period dictated availability. Data CIP variable only 1990 LCF ends 2018. Hence, determines starting year set, its ending year.Additional informationFundingNo funding received assist preparation manuscript.

Язык: Английский

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Analyzing the load capacity curve hypothesis for the Turkiye: A perspective for the sustainable environment

Journal of Cleaner Production, Год журнала: 2024, Номер 444, С. 141232 - 141232

Опубликована: Фев. 15, 2024

Язык: Английский

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The response of energy aid and natural resources consumption in load capacity factor of the Asia Pacific emerging countries

Energy Policy, Год журнала: 2024, Номер 190, С. 114150 - 114150

Опубликована: Май 10, 2024

Язык: Английский

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How does technological innovation affect the ecological footprint? Evidence from E-7 countries in the background of the SDGs

Journal of Cleaner Production, Год журнала: 2024, Номер unknown, С. 141020 - 141020

Опубликована: Янв. 1, 2024

Язык: Английский

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Analysing the impact of coupled domestic demand dynamics of green and low-carbon consumption in the market based on SEM-ANN

Journal of Retailing and Consumer Services, Год журнала: 2024, Номер 79, С. 103856 - 103856

Опубликована: Апрель 16, 2024

Язык: 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, Год журнала: 2024, Номер 43(1)

Опубликована: Фев. 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.

Язык: Английский

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