Global warming, sea level rise, and extreme weather events have made climate change a top priority for policymakers across the globe. But which policies are best suited to tackle the enormous challenges presented by our changing climate? This Article proposes that policymakers turn to prediction...

Efforts to reduce emissions to counter climate change are expected to have both costs andbenefits, and these effects are likely to be unevenly distributed across the population. Weexamined the potential distributional impacts on employment in New Zealand from usingdifferent mitigation options...

A multi-factor carbon price prediction method MEEMD-LSTM is proposed based on traditional Long Short-term Memory (LSTM) neural network. Multi-factor used in carbon price prediction method included the historical carbon price and other factors which affect carbon price fluctuation. The change...