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ID: 117283

Intervention strategy to stimulate energy-saving behavior of lo / Han, Q; Nieuwenhijsen, I; Vries, B de; Blokhuis, E

Han, Q	Journal Article
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Publication

2013.

Summary/Abstract

This study investigates intervention strategy in stimulating energy-saving behavior to achieve energy neutral urban development. A tree structure overview of potential interventions classified into three categories is revealed. An integrated behaviour model is developed reflecting the relations between behaviour and influence factors. A latent class model is used to identify segments of local residents who differ regarding their preferences for interventions. Data are collected from a sample of residents in the Eindhoven region of the Netherlands in 2010. The results indicate that social-demographic characteristics, knowledge, motivation and context factors play important roles in energy-saving behaviour. Specifically, four segments of residents in the study area were identified that clearly differed in their preferences of interventions: cost driven residents, conscious residents, ease driven residents and environment minded residents. These findings emphasize that the intervention strategy should be focused on specific target groups to have the right mixture of interventions to achieve effective results on stimulating them to save energy.

Key Words

Latent Class Model ; Energy - Saving Behavior ; Intervention Strategy

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ID: 093473

Landscape externalities from onshore wind power / Meyerhoff, Jurgen; Ohl, Cornelia; Hartje, Volkmar

Meyerhoff, Jurgen	Journal Article
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Publication

2010.

Summary/Abstract

The expansion of renewable energy is a central element of the German Federal Government's climate and energy policy. The target for 2020 is to produce 30% of the electricity from renewable energies. Wind power has been selected to be a major contributor to this change. Replacing old wind turbines by modern ones and building new turbines on land will be crucial in meeting this target. However, the expansion of onshore wind power is not universally accepted. In several regions of Germany residents are protesting against setting up new wind turbines. To determine the negative effects two choice experiments were applied in Westsachsen and Nordhessen, Germany. In both regions the externalities of wind power generation until 2020 based on today's state of technology were measured. The results show that negative landscape externalities would result from expanding wind power generation. Using latent class models three different groups of respondents experiencing different degrees of externalities were identified.

Key Words

Wind Power ; Landscape Externalities ; Latent Class Model

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