Forest & Landscape, Faculty of Life Science, University of Copenhagen, Rolighedsvej 23, DK-1958 Frederiksberg, Denmark.
J Environ Manage. 2010 Jun;91(6):1245-54. doi: 10.1016/j.jenvman.2009.12.012. Epub 2010 Mar 2.
Agri-Environment Schemes (AES) to maintain or promote environmentally-friendly farming practices were implemented on about 25% of all agricultural land in the EU by 2002. This article analyses and discusses the actual and potential use of impact models in supporting the design, implementation and evaluation of AES. Impact models identify and establish the causal relationships between policy objectives and policy outcomes. We review and discuss the role of impact models at different stages in the AES policy process, and present results from a survey of impact models underlying 60 agri-environmental schemes in seven EU member states. We distinguished among three categories of impact models (quantitative, qualitative or common sense), depending on the degree of evidence in the formal scheme description, additional documents, or key person interviews. The categories of impact models used mainly depended on whether scheme objectives were related to natural resources, biodiversity or landscape. A higher proportion of schemes dealing with natural resources (primarily water) were based on quantitative impact models, compared to those concerned with biodiversity or landscape. Schemes explicitly targeted either on particular parts of individual farms or specific areas tended to be based more on quantitative impact models compared to whole-farm schemes and broad, horizontal schemes. We conclude that increased and better use of impact models has significant potential to improve efficiency and effectiveness of AES.
到 2002 年,农业环境计划(AES)已在欧盟约 25%的农业用地上实施,以维持或促进环保型农业实践。本文分析和讨论了在支持 AES 的设计、实施和评估中使用影响模型的实际和潜在用途。影响模型确定并建立了政策目标与政策结果之间的因果关系。我们回顾和讨论了影响模型在 AES 政策过程不同阶段的作用,并展示了对欧盟七个成员国的 60 个农业环境计划背后的影响模型进行调查的结果。我们根据正式计划描述、其他文件或关键人员访谈中证据的程度,将影响模型分为三类(定量、定性或常识)。使用的影响模型类别主要取决于计划目标是与自然资源、生物多样性还是景观有关。与生物多样性或景观有关的计划相比,主要涉及自然资源(主要是水)的计划更多地基于定量影响模型。与针对个别农场特定部分或特定区域的计划相比,针对整个农场的计划和广泛的横向计划更倾向于基于定量影响模型。我们的结论是,更多和更好地使用影响模型具有显著提高 AES 效率和效果的潜力。