Homeowners' preferences for adopting innovative residential heating systems: A discrete choice analysis for Germany

Michelsen, Carl Christian; Madlener, Reinhard

doi:10.1016/j.eneco.2012.06.009

Cited by 222 publications

(165 citation statements)

References 27 publications

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“…2 It is, thus, not surprising that much recent research on consumer electricity preferences has focused on WTP for renewable energy (e.g. Roe et al 2001;Borchers et al 2007;Scarpa and Willis 2010;Álvarez-Farizo and Hanley 2002;Dimitropoulos and Kontoleon 2009;Meyerhoff et al 2010;(Michelsen and Madlener 2012)). …”

Section: Introductionmentioning

confidence: 99%

Are consumers willing to pay more for electricity from cooperatives? Results from an online Choice Experiment in Germany

Sagebiel

Müller

Rommel

2014

Energy Research & Social Science

122

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Section: Introductionmentioning

confidence: 99%

Are consumers willing to pay more for electricity from cooperatives? Results from an online Choice Experiment in Germany

Sagebiel

Müller

Rommel

2014

Energy Research & Social Science

122

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“…al., 2011, and Bjørnstad, 2012. Integrated approaches have been conducted by , Dieckhöner and Hecking (2012), Michelsen andMadlener (2012), andKranzel et. al.…”

Section: Introductionmentioning

confidence: 99%

German Energiewende and the Heating Market - Impact and Limits of Policy

Bauermann

2013

SSRN Journal

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in AbstractThe German Energiewende envisages achieving a climate-neutral building stock in 2050 by means of two major pillars of regulation: First, residential buildings should consume 80% less primary energy and, second, the remaining energy demand should be covered primarily with renewables. This paper simulates the future heating market in Germany under different policy scenarios in order to evaluate the impact and limits of recent and conceivable heating market policy. The investigation is based upon a dual model approach, linking a residential heating model to a discrete choice model for the heating system purchase decision. The major finding is that current ‚regulations will not be suitable for meeting government targets. Carbon emission reductions in scenarios assuming current regulation nearly equal those where there is no regulation. In terms of economic efficiency, all calculated policy alternatives perform better than the regulation currently in place. The model results highlight two policy implications. First, rising renewable requirements deliver better results at lower costs. Second, renewable obligations for heating systems must include the existing building stock in order to achieve the postulated political targets.

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“…Given the great diversity of territorial features across the Italian peninsula, geographical factors are likely to determine substantial variation in the propensity to adopt renewables across the population of residential homes. Spatial effects have been found to be significant determinants of households' heating choices [1,2] and can be linked to several factors, such as fuel price differences, heating traditions (e.g., mountain areas usually have strong tradition of firewood-based heating systems), development of the gas grid (usually less developed in rural areas), availability of biomass fuels (stronger in areas located near forests) and different energy needs according to the area (buildings in urbanized areas are generally better insulated as compared to those in rural ones). This study aims to systematically explore such heterogeneity of preferences by means of a geographically explicit choice model estimated from choice experiment data.…”

Section: Introductionmentioning

confidence: 99%

“…The authors of [4] focused on microgeneration adoption in the UK and those of [7] examined the role age plays in terms of behavioral responses towards energy efficiency, in particular whether older individuals are less likely to adopt micro-generation renewable energy technology. References [1,8] investigated the choice of energy retrofits in Germany. While [8] focused on CO 2 -saving measures (heating systems and insulation) and WTP for CO 2 savings, Michelsen et al [1] examined driving factors of choice of residential heating systems.…”

Section: Introductionmentioning

confidence: 99%

“…References [1,8] investigated the choice of energy retrofits in Germany. While [8] focused on CO 2 -saving measures (heating systems and insulation) and WTP for CO 2 savings, Michelsen et al [1] examined driving factors of choice of residential heating systems. In [5] how different attributes of residential heating systems affect private homeowners' choice of heating system following renovations was examined.…”

Section: Introductionmentioning

confidence: 99%

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Exploring the Spatial Heterogeneity of Individual Preferences for Ambient Heating Systems

et al. 2016

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Abstract:The estimation and policy use of spatially explicit discrete choice models has yet to receive serious attention from practitioners. In this study we aim to analyze how geographical variables influence individuals' sensitivity to key features of heating systems, namely investment cost and CO 2 emissions. This is of particular policy interest as heating systems are strongly connected to two major current environmental issues: emissions of pollutants and increased use of renewable resources. We estimate a mixed logit model (MXL) to spatially characterize preference heterogeneity in the mountainous North East of Italy. Our results show that geographical variables are significant sources of variation of individual's sensitivity to the investigated attributes of the system. We generate maps to show how the willingness to pay to avoid CO 2 emissions varies across the region and to validate our estimates ex-post. We discuss why this could be a promising approach to inform applied policy decisions.

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Homeowners' preferences for adopting innovative residential heating systems: A discrete choice analysis for Germany

Cited by 222 publications

References 27 publications

Are consumers willing to pay more for electricity from cooperatives? Results from an online Choice Experiment in Germany

Are consumers willing to pay more for electricity from cooperatives? Results from an online Choice Experiment in Germany

German Energiewende and the Heating Market - Impact and Limits of Policy

Exploring the Spatial Heterogeneity of Individual Preferences for Ambient Heating Systems

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