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Climate change has gained global attention in the past few decades due to its impact on humanity. This chapter examines the impact assessment of energy, agriculture, and socioeconomic indicators on carbon dioxide emissions in Ghana using a multivariate analysis (neural network and nonlinear iterative partial least squares regression). Topics covered include drivers of greenhouse gas emissions, Ghana’s climate change profile, flood risk assessment in Ghana, climate change and finance, projected change indicators and bibliometric analysis of climate change research in Ghana.