Determinants of households’ space heating type: A discrete choice analysis for German households

Braun, Frauke G.

doi:10.1016/j.enpol.2010.04.002

Cited by 115 publications

(73 citation statements)

References 29 publications

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“…A number of studies find that lower incomes are associated with oil and solid fuels, which are more emissions intensive (Fu et al, 2014;Laureti and Secondi, 2012;Özcan et al, 2013) though there are many other studies that find only a minor income effect or none (e.g. Braun, 2010;Lillemo et al, 2013;Couture et al, 2012). The effects of higher education and economic status on fuel choice are generally similar to those associated with income.…”

Section: Related Literaturementioning

confidence: 96%

“…Regional or cultural differences, including the local availability of particular fuels such as firewood, can impact on fuel choice (Braun, 2010;Fu et al, 2014;Laureti and Secondi, 2012). While weather is frequently included as a covariate in modelling energy consumption it also has an impact on fuel choice, similar to a regional effect.…”

Section: Related Literaturementioning

confidence: 99%

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Exploring the spatial and temporal determinants of gas central heating adoption

McCoy

Curtis

2018

Resource and Energy Economics

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a b s t r a c tIn order to better understand the potential for both policy and technological improvements to aid carbon abatement, long-term historical information on the time-path of transition from more traditional to cleaner fuels is useful. This is a relatively understudied element of the fuel switching literature in both developed and emerging economies. This research adds to this literature by examining the adoption time-path of network gas as a heating fuel. We merge a unique dataset on gas network roll-out over time, with other geo-coded data and employ an instrumental variables technique in order to simultaneously model supply and demand. Results indicate a non-linear relationship between the proportion of households using gas as their primary means of central heating and the length of time the network has been in place in each area. Proximity to the gas network, peat bogs, and areas which have banned the consumption of bituminous coal also affect gas connections. Variations in socioeconomic and dwelling characteristics at area level can also help explain connections to the gas network. A better understanding of this variation is crucial in designing targeted policies and can aid network expansion decisions.

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Section: Related Literaturementioning

confidence: 96%

Section: Related Literaturementioning

confidence: 99%

Exploring the spatial and temporal determinants of gas central heating adoption

McCoy

Curtis

2018

Resource and Energy Economics

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“…Braun (2010) analyzed the determinants of applying different space heating types of German households. However, all these studies are based on appliance ownership data and do not use any data on the actual adoption decision itself.…”

Section: Introductionmentioning

confidence: 99%

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

2012

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“…Rehdanz (2007) examines the determinants of household expenditures on space heating and hot water supply in Germany based on panel data and covers a number of socio-economic characteristics of households along with dwelling characteristics. Braun (2010) examines building, socioeconomic and regional characteristics in a discrete choice model focusing on space heating technologies applied by households but not on the heating system choice in terms of new heating system installations. Michelsen and Madlener (2012) conduct a survey about heating system installations to analyze the influence of preferences about residential heating system specific attributes on the adoption decision in a discrete choice estimation.…”

Section: Previous Researchmentioning

confidence: 99%

“…Including just dwelling characteristics in our model, we only cover systematic differences of heating system installations in our model, which however mainly explain the diffusion of heating systems (see also Braun (2010)). These serve as proxies for the unobservable costs or other impacts that vary across dwelling types.…”

mentioning

confidence: 99%

Greenhouse Gas Abatement Cost Curves of the Residential Heating Market: A Microeconomic Approach

Löffler

Hecking

2016

Environ Resource Econ

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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 AbstractIn this paper, we develop a microeconomic approach to deduce greenhouse gas abatement cost curves of the residential heating sector. By accounting for household behavior, we find that welfare-based abatement costs are generally higher than pure technical equipment costs. Our results are based on a microsimulation of private households' investment decision for heating systems until 2030. The households' investment behavior in the simulation is derived from a discrete choice estimation which allows investigating the welfare costs of different abatement policies in terms of the compensating variation and the excess burden. We simulate greenhouse gas abatements and welfare costs of carbon taxes and subsidies on heating system investments until 2030 to deduce abatement curves. Given utility maximizing households, our results suggest a carbon tax to be the welfare efficient policy. Assuming behavioral misperceptions instead, a subsidy on investments might have lower marginal greenhouse gas abatement costs than a carbon tax.

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Determinants of households’ space heating type: A discrete choice analysis for German households

Cited by 115 publications

References 29 publications

Exploring the spatial and temporal determinants of gas central heating adoption

Exploring the spatial and temporal determinants of gas central heating adoption

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

Greenhouse Gas Abatement Cost Curves of the Residential Heating Market: A Microeconomic Approach

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