Bayesian neural network modelling for estimating ecological footprints and blue economy sustainability across G20 nations

• Muhammad Akhtar, et al., Nature

Bayesian neural network modelling for estimating ecological footprints and blue economy sustainability across G20 nations
dimitrisvetsikas1969, Pixabay

Oceans provide both solutions and boosts to a sustainable environment and economy, given the growing need for resources to accomplish the global food, water, and energy nexus and the rapid reduction in land-based supplies. However, the ecological footprint (EF) is one of the significant factors that may influence the sustained capacity of oceans to deliver economic and environmental value. Therefore, this study aims to investigate the impact of ecological footprints on the sustainability of the blue economy (BE) while controlling for greenhouse gas emissions (GHG), population growth (POT), and economic growth (GDP). 

Read the full paper here.

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