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The efficiency of voluntary incentive policies for preventing biodiversity loss

机译:自愿奖励政策预防生物多样性丧失的效率

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Habitat loss is a primary cause of loss of biodiversity but conserving habitat for species presents challenges. Land parcels differ in their ability to produce returns for landowners and landowners may have private information about the value of the land to them. Land parcels also differ in the type and quality of habitat and the spatial pattern of land use across multiple landowners is important for determining the conservation value of parcels. This paper analyzes the relative efficiency of simple voluntary incentive-based policies in achieving biodiversity conservation objectives. This topic is important not just for biodiversity conservation but for any effort to provide a public good requiring coordination across multiple decision-makers who have some degree of private information. We develop a method that integrates spatially explicit data, an econometric model of private land-use decisions, landscape simulations, a biological model of biodiversity as a function of landscape pattern, and an algorithm that estimates the set of efficient solutions. These methods allow us to simulate landowner responses to policies, measure the consequences of these decisions for biodiversity conservation, and compare these outcomes to efficient outcomes to show the relative efficiency of various policy approaches. We find substantial differences in biodiversity conservation scores generated by simple voluntary incentive-based policies and efficient solutions. The performance of incentive-based policies is particularly poor at low levels of the conservation budget where spatial fragmentation of conserved parcels is a large concern. Performance can be improved by encouraging agglomeration of conserved habitat and by incorporating basic biological information, such as that on rare habitats, into the selection criteria.
机译:生境的丧失是生物多样性丧失的主要原因,但保护物种的栖息地却面临挑战。土地包裹为土地所有者产生收益的能力各不相同,土地所有者可能拥有有关土地价值的私人信息。地块的生境类型和质量也有所不同,多个土地所有者之间土地使用的空间格局对于确定地块的保护价值很重要。本文分析了简单的基于自愿激励的政策在实现生物多样性保护目标方面的相对效率。这个主题不仅对于保护生物多样性很重要,而且对于任何需要提供具有一定程度的私人信息的多个决策者之间需要协调的公益活动也很重要。我们开发了一种方法,该方法整合了空间明晰的数据,私人土地使用决策的计量经济学模型,景观模拟,作为景观格局函数的生物多样性生物模型以及一种估算有效解决方案的算法。这些方法使我们能够模拟土地所有者对政策的反应,衡量这些决定对生物多样性保护的后果,并将这些结果与有效结果进行比较,以显示各种政策方法的相对效率。我们发现,基于简单的自愿性激励政策和有效解决方案所产生的生物多样性保护得分存在很大差异。在自然保护区的空间碎片化是一个大问题时,基于保护性预算的低水平激励政策的执行效果特别差。通过鼓励保护性生境的集聚和将基本生物学信息(例如稀有生境的信息)纳入选择标准,可以提高性能。

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