Clean Technologies and Environmental Policy, Journal Year: 2024, Volume and Issue: unknown
Published: June 7, 2024
Language: Английский
Advances in computational intelligence and robotics book series, Journal Year: 2024, Volume and Issue: unknown, P. 144 - 162
Published: May 31, 2024
This hybrid deep-learning study focuses on pollutant concentration. It illuminates convolutional neural networks (CNN) and long short-term memory in deep learning methods (LSTM). CNNs are essential to learning, especially image processing. They ideal for pollution concentration analysis because they extract complex data features. LSTM is another important tool this study. LSTMs recurrent (RNNs) that can process store sequences. Time-series analysis, common research, benefits from them. Understanding learning's impact issues. investigates a CNN-LSTM model combines CNN feature extraction with sequence fusion lets the make smart predictions input PCA key investigation. dimensionality reduction finds variables significant relationships.
Language: Английский
Citations
2
Geological Journal, Journal Year: 2023, Volume and Issue: 59(1), P. 301 - 312
Published: Sept. 28, 2023
The topic of energy efficiency and environmental quality is quickly becoming one the most pressing concerns facing globe today. linkage between high standards has significant repercussions for long‐term viability ecosystem. prime objective this study to explore nexus sustainable efficiency, green energy‐related emissions. Energy potential be a key tool in pursuit sustainability. This investigates dynamic relationships greenhouse gases (GHG) developed countries from 1990 2020. Using advanced econometric approaches, results argue that globalization greener adoption are helpful reduction GHG emissions countries. Moreover, economic growth increases Furthermore, we find bidirectional causality gas with income globalization. guide policymakers on policies they can implement apropos energies enforce ensure development.
Language: Английский
Citations
5
Resources Policy, Journal Year: 2023, Volume and Issue: 87, P. 104309 - 104309
Published: Nov. 8, 2023
Language: Английский
Citations
5
Natural Resources Forum, Journal Year: 2024, Volume and Issue: unknown
Published: April 13, 2024
Abstract Green technology innovation (GTI) plays a pivotal role in improving environmental sustainability. Our study fills significant research gap by investigating how globalization and natural resource depletion (NRD) impact eco‐innovation. Rooted knowledge spillover ecological modernization theories, we utilize advanced panel data techniques, an aspect underexplored empirical studies. span G20 countries from 1986 to 2019, further dissected into sub‐panels—BRICS (emerging economies) G7 (advanced economies). Initial tests reveal cross‐sectional dependencies slope heterogeneities across all panels, corroborated Westerlund cointegration test indicating long‐term equilibrium. Driscoll–Kraay estimator highlights that economic social significantly drive eco‐innovation, while political deteriorates GTI. The effect of NRD is also negative for BRICS countries, economies exhibit lower vulnerability shocks. Long‐run estimates CS‐ARDL underscore the positive both short long run, remains persistent run. Panel quantile regression results prove asymmetric GTI distribution varying underlying groups. NRD, hindering progress at higher quantiles, supports eco‐innovation quantiles economies. threshold estimations confirm influence particularly highly eco‐innovative nations. These findings bear policy implications, charting path toward sustainable growth through widespread adoption green technology.
Language: Английский
Citations
1
Clean Technologies and Environmental Policy, Journal Year: 2024, Volume and Issue: unknown
Published: June 7, 2024
Language: Английский
Citations
1