An input-output-based Bayesian neural network method for analyzing carbon reduction potential: A case study of Guangdong province

Economic development, population growth, industrialization and urbanization have led to large increases in anthropogenic carbon emission that has caused a variety of negative impacts on climate change and eco-environment systems. This study develops an input-output-based Bayesian neural network (IO-BNN) method for simulating the carbon emission of various economic sectors and generating the desired schemes of emission reduction. IO-BNN is …