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Sustainability as defined by the Brundtland Commission, is a composite and thus ambitious policy target. It comprises environmental, economic, social, and institutional criteria with equal importance. Because of this complexity the first step of a (Local) Agenda 21 process should be to develop a vision of a sustainable society - a "leitbild" - useful as a compass, not a road map (or, even worse, a blueprint), attached by indicators that help to measure progress, distance to target, and failures of plans or their implementations. In the following article a model is proposed how local sustainability indicators can be developed and how they can help to reduce the complexity of sustainability and to concretize a program for the Local Agenda 21. To get a practical impression of the theoretical presentation an example is given in the last part of the article. It shows the experiences made while developing sustainability indicators in the City of Iserlohn.
Unsustainable consumption patterns of the North (or rather of the global affluent consumers class) have been identified by Agenda 21 as one of the key driving forces behind the unsustainable development. However, neither accounting based on the system of national accounts SNA nor household economics provide the proper instruments to assess the environmental impact of household decision making. Eco-efficiency assessments as familiar in the business sector provide no appropriate tool for households. As an alternative an environmental space based assessment scheme is suggested covering the major pressures on the environment caused by household decisions. The methodology is used twice: once to analyse the environmental relevance of the main activity clusters of household consumption and once to identify the dominant acts of consumption within each cluster. The latter provide the basis for deriving environmental performance indicators. A rough analysis of household influence potentials permits to identify housing, eating and mobility as the three priority fields for action for minimising the environmental impact of households. Extending the influence analysis actor matrixes are derived allocating influence and thus responsibility for environmental pressures to different groups of economic agents.