Renewable Energy, Journal Year: 2024, Volume and Issue: 226, P. 120368 - 120368
Published: April 3, 2024
Language: Английский
Renewable Energy, Journal Year: 2024, Volume and Issue: 226, P. 120368 - 120368
Published: April 3, 2024
Language: Английский
Journal of Cleaner Production, Journal Year: 2022, Volume and Issue: 380, P. 135038 - 135038
Published: Nov. 3, 2022
Language: Английский
Citations
164Geoscience Frontiers, Journal Year: 2022, Volume and Issue: 14(3), P. 101531 - 101531
Published: Dec. 20, 2022
This study analyzes the impact of biomass energy, financial development, and economic growth on environmental quality using novel Fourier autoregressive distributed lag (ARDL) approach annual data for period 1965–2018 in United States (USA). The related variables load capacity factor (LCF) as well indicators degradation such carbon dioxide emissions ecological footprint. LCF is one most comprehensive to date, encompassing both biocapacity In this regard, contributes economics literature by examining, first time, energy LCF. results cointegration test show that there only a long-run relationship between independent variables. According ARDL results, improves quality, while development has no effect Moreover, increase per capita income reduces Furthermore, since elasticity larger long run than short-run, Kuznets curve validated. Therefore, government should encourage use investment form energy.
Language: Английский
Citations
141Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 402, P. 136802 - 136802
Published: March 15, 2023
Language: Английский
Citations
136Resources Policy, Journal Year: 2023, Volume and Issue: 81, P. 103352 - 103352
Published: Feb. 3, 2023
Language: Английский
Citations
123Energies, Journal Year: 2023, Volume and Issue: 16(6), P. 2847 - 2847
Published: March 19, 2023
Policymakers and environmental scientists have proposed numerous measures toward achieving a sustainable environment. Some of these include the efficient use energy clean transition. This study empirically investigates role non-renewable efficiency renewable utilization in driving sustainability India over period from 1965 to 2018. Using approach Dynamic Autoregressive Distributed Lag (DyARDL) simulations, empirical evidence shows that promote through an increase load capacity factor. The effects financial development trade impede decrease results further show relationship between income factor is characterized by inverted U-shape. suggests capability curve (LCC) hypothesis not valid for India. Given overall findings this study, it suggested policymakers should technologies as ultimate policy measure mitigate accumulation CO2 emissions other significant climatic changes
Language: Английский
Citations
114Gondwana Research, Journal Year: 2023, Volume and Issue: 129, P. 398 - 411
Published: June 7, 2023
Language: Английский
Citations
114Gondwana Research, Journal Year: 2023, Volume and Issue: 129, P. 452 - 464
Published: April 26, 2023
Language: Английский
Citations
107Environment Development and Sustainability, Journal Year: 2022, Volume and Issue: 26(1), P. 2203 - 2223
Published: Dec. 6, 2022
Language: Английский
Citations
97Sustainability, Journal Year: 2023, Volume and Issue: 15(18), P. 13462 - 13462
Published: Sept. 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.
Language: Английский
Citations
94Environmental Science and Pollution Research, Journal Year: 2023, Volume and Issue: 30(16), P. 48604 - 48616
Published: Feb. 10, 2023
Language: Английский
Citations
93