ABSTRACTThis paper discusses the gain in efficiency from including deforestation risk as a targeting criterion in payments for environmental services (PES) programs. We contrast two payment schemes that we simulate using data from Mexican common property forests: a flat payment scheme with a cap on allowable hectares per enrollee, similar to the program implemented in many countries, and a payment that takes deforestation risk and heterogeneity in land productivity into account. We simulate the latter strategy both with and without a budget constraint. Using observed past deforestation, we find that while risk-targeted payments are far more efficient, capped flat payments are more egalitarian. We also consider the characteristics of communities receiving payments from both programs. We find that the risk-weighted scheme results in more payments to poor communities, and that these payments are more efficient than those made to non-poor ejidos. Finally, we show that the risk of deforestation can be predicted quite precisely with indicators that are easily observable and that cannot be manipulated by the community.
Methodology for assessing the role of mangroves in trace metal(loid) filtration to develop a mechanism of payments for environmental services for mangroves in Vietnam