Shah Saud
Papers
2
Total Citations
195
H-Index
2
About
Shah Saud is a prominent researcher at the intersection of environmental sustainability, energy economics, and technological innovation. His work critically examines the complex, often asymmetric relationships between industrial performance, renewable energy adoption, and carbon emissions. A key contribution is his exploration of how artificial intelligence (AI) and information communication technology (ICT) can serve as transformative tools for achieving environmental sustainability, particularly in resource-dependent and rapidly industrializing economies. His highly cited 2024 study on the asymmetric link between competitive industrial performance and carbon footprints, which has garnered 116 citations, demonstrates the nuanced impact of AI on ecological outcomes. Complementing this, his work on ICT, economic growth, and renewable energy production—cited 79 times—provides vital insights into balancing technological progress with natural resource management. Saud’s research is distinguished by its rigorous application of advanced econometric models to unpack both symmetric and asymmetric dynamics, offering actionable pathways for policymakers. His findings are essential for students and scholars seeking to understand how emerging technologies can be leveraged to decouple economic growth from environmental degradation.
Research Focus
Key Achievements
Top Papers
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