Effects of Big Data on PM2.5: A Study Based on Double Machine Learning
Xinyu Wei,
Mingwang Cheng,
Kaifeng Duan
et al.
Abstract:The critical role of high-quality urban development and scientific land use in leveraging big data for air quality enhancement is paramount. The application of machine learning for causal inferences in research related to big data development and air pollution presents considerable potential. This study employs a double machine learning model to explore the impact of big data development on the PM2.5 concentration in 277 prefecture-level cities across China. This analysis is grounded in the quasi-natural exper… Show more
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