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Top-down and Europe-wide versus bottom-up and intra-regional identification of key issues for sustainability impact assessment

机译:自上而下和欧洲范围内与自下而上和区域内识别可持续发展影响评估的关键问题

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摘要

Sustainability impact assessment tools aim at optimising the development of policy measures. Here, we present an approach to designing policies for multifunctional land use with application to Europe and its regions. After the 35 environmental, social and economic impact issues of the European Impact Assessment Guidelines were reviewed on the basis of spatiotemporal indicators at both the top-down Europe-wide and bottom-up intra-regional resolution level, cluster analysis identified classes with specific sustainability characteristics and thus regions most likely facing similar sustainability problems. Sensitive region types such as post-industrial zones, mountains, coasts and islands were analysed separately. The results of the cluster analysis were tested against evidence-based information such as UNEP priorities and regional stakeholder evidence. Stakeholder evidence was specifically explored for the land use policy 'bioenergy promotion' in Lusatia, Germany. We concluded that these top-down and bottom-up spatiotemporal data classifications with cluster analysis represent useful ex-ante impact assessment tools and need to be supplemented by participatory assessments. This procedure with top-down and bottom-up data analysis, and also participatory evidence, provide a valuable three-step sustainability impact assessment approach in policy making
机译:可持续发展影响评估工具旨在优化政策措施的制定。在这里,我们介绍一种设计多功能土地使用政策的方法,并将其应用于欧洲及其地区。根据自上而下的欧洲范围内和自下而上的区域内解决方案级别的时空指标,对《欧洲影响评估指南》中的35个环境,社会和经济影响问题进行了审查之后,聚类分析确定了具有特定可持续性的类别特征,因此地区很可能面临类似的可持续性问题。分别分析了工业后地区,山脉,海岸和岛屿等敏感区域的类型。针对基于证据的信息(例如环境署优先事项和区域利益相关者的证据)测试了聚类分析的结果。在德国卢萨西亚,针对土地使用政策“促进生物能源”专门研究了利益相关者的证据。我们得出的结论是,这些具有聚类分析的自上而下和自下而上的时空数据分类是有用的事前影响评估工具,需要参与性评估加以补充。此程序具有自上而下和自下而上的数据分析以及参与性证据,在决策过程中提供了有价值的三步可持续性影响评估方法

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