In the current study, we investigate the dynamic association of tourism, renewable energy, income, foreign direct investment (FDI), and carbon dioxide (COe) for Pakistan over 1990-2017. We established four plausible hypotheses and verified by employing the autoregressive distributed lags model and Granger causality based on vector error correction model (VECM). Considering the cointegration relationship between the variables, the outcomes of autoregressive distributed lags suggested that tourism increases economic growth, and economic growth induces tourism in the long-run, thus confirming tourism-led development, and growth-led tourism hypothesis; similarly, the tourism generates COe emissions, which supported the tourism-led emission hypothesis. The role of renewable energy consumption found to be a significant moderator, thus helping to enrich tourism, accelerating economic growth, and combating COe in the country. VECM causal results indicated the significant bidirectional causal linkages between tourism and economic growth-another causality found between tourism and COe. There is one-way causality from FDI and renewable energy towards income simultaneously. Overall, the designers of policies will find this study useful for policymaking at government levels for smooth economic growth, investment, and sustainable tourism sector.
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http://dx.doi.org/10.1007/s10668-021-01275-6 | DOI Listing |
This study introduces a high-resolution wind nowcasting model designed for aviation applications at Madeira International Airport, a location known for its complex wind patterns. By using data from a network of six meteorological stations and deep learning techniques, the produced model is capable of predicting wind speed and direction up to 30-minute ahead with 1-minute temporal resolution. The optimized architecture demonstrated robust predictive performance across all forecast horizons.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Business Administration, College of Business Administration, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia.
Improving energy efficiency is crucial for smart factories that want to meet sustainability goals and operational excellence. This study introduces a novel decision-making framework to optimize energy efficiency in smart manufacturing environments, integrating Intuitionistic Fuzzy Sets (IFS) with Multi-Criteria Decision-Making (MCDM) techniques. The proposed approach addresses key challenges, including reducing carbon footprints, managing operating costs, and adhering to stringent environmental standards.
View Article and Find Full Text PDFPhys Chem Chem Phys
January 2025
Department of Chemical Engineering, Northeastern University, Boston, Massachusetts, 02115, USA.
Discovering electrocatalysts that can efficiently convert carbon dioxide (CO) to valuable fuels and feedstocks using excess renewable electricity is an emergent carbon-neutral technology. A single metal atom embedded in doped graphene, , single-atom catalyst (SAC), possesses high activity and selectivity for electrochemical CO reduction (COR) to CO, yet further reduction to hydrocarbons is challenging. Here, using density functional theory calculations, we investigate stability and reactivity of a broad SAC chemical space with various metal centers (3d transition metals) and dopants (2p dopants of B, N, O; 3p dopants of P, S) as electrocatalysts for COR to methane and methanol.
View Article and Find Full Text PDFAngew Chem Int Ed Engl
January 2025
Zhejiang University, College of Chemical and Biological Engineering, CHINA.
Electrochemical water splitting is a pivotal technology for storing intermittent electricity from renewable sources into hydrogen fuel. However, its overall energy efficiency is impeded by the sluggish oxygen evolution reaction (OER) at the anode. In the quest to design high-performance anode catalysts for driving the OER under non-acidic conditions, iron (Fe) has emerged as a crucial element.
View Article and Find Full Text PDFSmall
January 2025
Hubei Key Laboratory for Precision Synthesis of Small Molecule Pharmaceuticals, Collaborative Innovation Center for Advanced Organic Chemical Materials Co-constructed by the Province and Ministry, Ministry-of-Education Key Laboratory for the Synthesis and Application of Organic Functional Molecules, College of Chemistry and Chemical Engineering, Hubei University, Wuhan, 430062, P. R. China.
Exploring highlyefficient electrocatalysts for overall water splitting is a challenging butnecessary task for development of green and renewable energy. Herein, PtIrFeCoNi high-entropy alloy nanoflowers (HEA NFs) withstrong 3d-5d orbital hybridization were fabricated to achieve highly efficientoverall water splitting at high current density. The PtIrFeCoNi HEA NFs achieved a 57.
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