Deforestation in the tropical Atlantic Forest of Brazil has reduced native forest cover in the biome to ~22%. Research suggests that restoration to at least 30% of native forest cover is required to avoid a potentially catastrophic ecological collapse. This paper presents a policy recommendation...

This paper develops a machine-learning method that allows researchers to estimate heterogeneous treatment effects with panel data in a setting with many covariates. Our method, which we name the dynamic causal forest (DCF) method, extends the causal-forest method of Wager and Athey (2018) by...

Quantifying factors giving rise to temporal variation in forest fires is important for advancing scientific understanding and improving fire prevention. We demonstrate that eighty percent of the large year-to-year variation in forest area burned in California can be accounted for by variation in...

Emissions of greenhouse gases (GHG), and carbon dioxide (CO2) represent a significant threat to environment, economy, and human health. This article summarises the results of an empirical investigation on the potential for economic growth, renewable energy use, technical advancement, and forest...