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Agri-environmental policies for biodiversity when the spatial pattern of the reserve matters

机译:当保护区的空间格局重要时的农业生物多样性环境政策

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The aim of this paper is to compare different environmental policies for cost-effective habitat conservation on agricultural lands, when the desired spatial pattern of reserves is a random mosaic. We use a spatially explicit mathematical programming model which studies the farmers' behavior as profit maximizers under technical and administrative constraints. Facing different policy measures, each farmer chooses the land-use on each field, which determines the landscape at the regional level. A spatial pattern index (Ripley L function) is then associated to the obtained landscape, indicating on the degree of dispersion of the reserve. We compare a subsidy per hectare of reserve with an auction scheme and an agglomeration malus. We find that the auction is superior to the uniform subsidy for cost-efficiency. The agglomeration malus does better than the auction for the spatial pattern but is more costly.
机译:本文的目的是当所需的保护区空间模式是随机镶嵌时,比较不同的环境政策,以经济有效地保护农田。我们使用空间明确的数学规划模型来研究农民在技术和行政约束下作为利润最大化者的行为。面对不同的政策措施,每个农民在每个田地上选择土地用途,这决定了区域一级的景观。然后将空间格局指数(Ripley L函数)与获得的景观相关联,以指示保护区的分散程度。我们将每公顷保护区的补贴与拍卖计划和集聚成因进行了比较。我们发现拍卖在成本效益上优于统一补贴。就空间格局而言,集聚海棠比拍卖更好,但成本更高。

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