Determinants of Deforestation and the Economics of Protection: An Application to Mexico
估计了墨西哥两个贫困但生物多样性丰富的州（恰帕斯和瓦哈卡）中地块层面森林砍伐的概率，发现自然地理禀赋和政策变量都很重要，并可用于识别砍伐风险以指导保护政策。
Abstract We estimate the probability of deforestation at the plot level for Chiapas and Oaxaca, two poor Mexican states with high levels of biodiversity. Results highlight the importance of physio‐geographic endowments as well as policy variables and allow to test explicitly for aggregation bias. They also suggest that, if combined with information on the biodiversity value of specific plots, such models could be of great relevance for policy by allowing to identify the ex ante risk of deforestation.