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Heterogeneous attitudes towards a Payment for Ecosystem Services program

机译:对生态系统服务计划付款的异质态度

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Forest protection and conservation may provide many non-timber ecosystem services (aesthetics, watersheds, habitat, and carbon sequestration) that provide benefits to humans. However, forest conservation may conflict with local landowners or members of the community who prefer to harvest timber or lack alternate income opportunities. Monetary incentives for forests conservation can be established by using payment for ecosystem services (PES) programs. The feasibility of introducing a PES program in Kam Cha i, Thailand was performed using a Choice Experiment survey. Across several econometric models, responses from the survey demonstrate a robust heterogeneity in attitudes towards a PES program. Results from conditional logit, random parameter logit,and latent class estimation models show a large variation in attitudes towards a PES. This variation in attitudes is further explored by relaxing IIA assumptions and introducing dependence across choice responses by including demographic information andother survey response infomnation. Results from this new model demonstrate that frequent forest users are more likely to be unsympathetic to PES programs, regardless of varying levels of income, education, or distance to the forest. Responses suggest that this result is caused by lack of infomtation about PES programs, the lack of credibility with PES programs, and general distrust towards outside agencies. This information may be helpful in constructing and targeting successful PES programs in order to maintain the benefits provided by a healthy forest.
机译:森林保护和保护可能提供许多非木材生态系统服务(美学,流域,栖息地和碳封存)为人类提供了益处。然而,森林保护可能与当地土地所有者或更喜欢收获木材或缺乏收入机会的社区成员冲突。通过使用对生态系统服务(PES)计划的付款可以建立森林保护的货币激励。使用选择实验调查进行泰国锦CHA I中引入PES计划的可行性。在几种经济学模型中,调查的响应展示了对PES计划的态度稳健的异构性。条件Logit,随机参数Logit和潜在类估计模型的结果显示了对PES的态度的大变化。通过在包括人口信息和其他调查响应信息包括人口统计信息,进一步探讨了这种态度的这种变化,并通过包括人口统计信息和其他调查响应信息来引入选择反应的依赖性。这一新模式的结果表明,无论不同的收入,教育或与森林距离不同,频繁的森林用户更有可能对PES计划无情。答复表明,这一结果是由于缺乏关于PES计划的信息,缺乏与PES计划的可信度,以及对外部机构的一般不信任。这些信息可能有助于构建和定位成功的PES程序,以便保持健康森林提供的益处。

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