Abstract
Due to rapid urbanization and industrialization, China faces numerous environmental challenges, including air and water pollution, resource depletion, and climate change. Adopting green ICT and smart urbanization is a critical strategy to address these challenges. At the heart of this study lies the question: Do green ICT adoption and smart urbanization contribute positively to environmental pollution reduction? Therefore, this study intends to scrutinize the influence of green ICT and smart urbanization on environmental pollution in China, focusing on the period from 1996 to 2021. The most up-to-date method of structural modeling, partial least squares structural equation modeling (PLS-SEM), was used to estimate the quantitative connection between green ICT, smart urbanization, and environmental pollution. The findings of the structural model show that only the path coefficient between smart urbanization and environmental pollution is significant and negative. Renewable energy consumption directly and negatively influences environmental pollution, whereas smart urbanization directly and positively affects renewable energy consumption and green ICT. Consequently, renewable energy consumption and green ICT negatively influence environmental pollution. Based on the findings, the study proposes targeted public policy recommendations aimed at fostering the development of green ICT and smart urbanization initiatives in China.
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