Household Energy Efficiency in the UK

Brechling, Vanessa; Smith, Stephen

doi:10.1111/j.1475-5890.1994.tb00196.x

Cited by 55 publications

(36 citation statements)

References 6 publications

(9 reference statements)

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“…Research in the field has usually found these factors to be relevant in explaining the likelihood of adoption of EE measures (e.g. Brechling and Smith, 1994), so this absence should be taken into account when interpreting the results of this paper. In addition, the survey lacks two other important variables: energy consumption and ownership status.…”

Section: Datamentioning

confidence: 99%

“…One of the first contributions in this area was Brechling and Smith (1994) who used microdata from the 1986 'English House Condition Survey' to explain the probability to have wall and loft insulation and double glazing in UK households. The paper showed small income-related effects suggesting no barriers to capital access, whereas home ownership was the only socio-economic characteristic that influenced EE investment decisions.…”

Section: Literaturementioning

confidence: 99%

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Pro-environmental Households and Energy Efficiency in Spain

Ramos

Labandeira

Löschel

2015

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. www.econstor.eu Terms of use: Documents in Pro-Environmental Households and Energy Efficiency in SpainAna Ramos*, Xavier Labandeira and Andreas Löschel AbstractThe residential building sector is a major driver of current and future energy consumption and associated emissions, which can be potentially mitigated through significant energy-efficiency (EE) improvements in both emerging and developed countries. Yet, there are several persistent barriers that hinder the attainment of EE improvements in this area. Using data from a 2008 national representative survey of Spanish households, this paper is interested in the determinants of EE-related decisions. In particular, a discrete-choice model empirically analyzes whether proenvironmental households are more likely to invest in EE and to adopt daily energysaving habits. We show that households with eco-friendly behaviors are more likely to investment in well-differentiated EE measures as well as to steer daily habits towards energy savings. However, no effects are found for households with environmental attitudes based on stated willingness to pay to protect the environment. In addition to this, households belonging to higher income groups and education levels are more likely to invest in EE but not to adopt energy-saving habits; while households with older members are less likely to invest in EE and show fewer eco-friendly habits.

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Section: Datamentioning

confidence: 99%

Section: Literaturementioning

confidence: 99%

Pro-environmental Households and Energy Efficiency in Spain

Ramos

Labandeira

Löschel

2015

Environ Resource Econ

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“… People' awareness and access to programmes, and their ability to invest, along with uncertainty about the energy or financial savings following a measure (Brechling & Smith, 1994).…”

Section: Barriers Of Low and Zero Carbon Technologiesmentioning

confidence: 99%

Review of sustainability in buildings

Abdellatif

Al-Shamma’a

2015

Sustainable Cities and Society

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Review of sustainability in buildingshttp://researchonline.ljmu.ac.uk/2205/ Article LJMU has developed LJMU Research Online for users to access the research output of the University more effectively. Copyright © and Moral Rights for the papers on this site are retained by the individual authors and/or other copyright owners. Users may download and/or print one copy of any article(s) in LJMU Research Online to facilitate their private study or for non-commercial research. You may not engage in further distribution of the material or use it for any profit-making activities or any commercial gain.The version presented here may differ from the published version or from the version of the record. Please see the repository URL above for details on accessing the published version and note that access may require a subscription. AbstractAt present, It is estimated that the building sector contributes up to 45% of annual greenhouse gas emissions primarily through the use of fossil fuels during their operational phase and consumes up to 40% of all energy in UK. Given the massive growth in new construction in economies in transition, and the inefficiencies of existing building stock, if nothing is done, greenhouse gas emissions from buildings will be more than double in the next 20 years. This is a review paper describe the extent and nature of sustainable buildings in UK, either within new or refurbishing old ones, in order to move away from traditional methods of construction and to look at multi-disciplinary and integrated approaches, as well as end-user perspectives.Key words: Built environment, climate change, energy-efficient buildings, GHG emissions. IntroductionToday, it is widely accepted that human activities are contributing to climate change. The Investing in achieving such results in the building sector also has the potential to boost the local economy and improve living conditions. Given the UK's commitment to cut GHG emissions by at least 80% by 2050 relative to 1990 levels, the government recently updated the details of its strategy and milestones for the next five years in its Carbon Plan. Energy efficiency measures in the UK have historically been primarily delivered by government-backed schemes and supplier obligation programmes (which set targets for energy suppliers) (Mallaburn & Eyre, 2014;Rosenow, 2012). However, to deliver projected energy efficiency measures in the future, the UK government has proposed a combination of market-based and government-regulated interventions, under the 'Green Deal' , the 'Energy Company Obligation' (DECC, 2012a) and 'Renewable Heat 3 Incentive (RHI)' . These schemes are designed to help people make energy efficiency improvements to buildings by allowing them to pay the costs through their energy bills rather than upfront. Research Problem and MethodThis study takes a brief look at the concept of sustainability in existing UK building through the review of relevant literature. It is aiming to present sustainable measures and to investigate how these measures would cont...

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“…Based on a literature review of energy conservation strategies, both in-home and out-of-home (Achnicht, 2012; Barr et al, 2005;Brechling & Smith, 1994;Erath & Axhausen, 2010;Ferguson, 1993;Jensen et al, 2012;Nair, Gustavsson, & Mahapatra, 2010;Rasouli & Timmermans, 2016), four options were selected: investing in energy-efficient/energy production equipment at home such as a solar panel, investing in exchanging the current car to an energy-efficient car, investing in a new/extra energy-efficient car such as a hybrid car or EV, and investing in relocation of home or work to shorten the total travel distance. These strategic choice options thus cover facility investment, energy-efficient car investment, and relocation investment (shortening travel distance).…”

Section: Choice Options and Their Attributesmentioning

confidence: 99%

“…According to a literature review of in-home energy conservation studies, researchers found it is much easier to make a singular investment decision than to change daily behavior (Mills & Schleich, 2010). Moreover, energy saving resulting from technology adoption tends to have long-term effects, while behavioral measures may only have transitory effects (Barr, Gilg, & Ford, 2005;Black, Stern, & Elworth, 1985;Brechling & Smith, 1994;Dillman, Rosa, & Dillman, 1983;Ferguson, 1993;Long, 1993;Walsh, 1989). Third, to help respondents connect the hypothetic policy situation to their current, daily situation, a dedicated data collection system (SINA) was developed to collect detailed energy consumption information both in-home and out-of-home.…”

Section: Introductionmentioning

confidence: 99%

Households transport-home energy conservation strategies in response to energy price policies: A stated adaptation experiment based on portfolio choices and cross effects designs

Yang

Timmermans

2016

International Journal of Sustainable Transportation

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This article explores consumer investment choice in long-term energy conservation technology and assesses trade-offs in energy saving behaviour between the housing and transportation domains. The long-term energy conservation choice problem is conceptualized as a portfolio choice problem. Consequently, to measure trade-offs between investments in housing and transport options, a cross effects choice design is developed in which respondents were shown one or more alternate ways to reduce their current energy consumption: (1) investing in new technology in the house, such as solar panels; (2) exchanging the current car for a more energy efficient car; (3) buying a new energy-efficient car, such as EV or solar car; (4) moving house to reduce current travel distances. To help respondents linking these options to their current energy consumption, a new Web-based survey system (SINA) to implement and administer stated adaptation experiments was developed. The system was used to collect two sets of data. First, data about out-of-home and in-home energy consumption, together with detailed time use data, was collected. Second, using a cross effects design, respondents were asked to select a portfolio of energy-saving strategies in response to different energy pricing policy scenarios. Results reported in this paper are based on 572 respondents who completed the survey and responded to seven adaptation questions based on their current energy expenditures. A random parameters logit model is estimated to predict the probability of choosing a particular portfolio of energy-saving options. Estimation results indicate that individuals from different socio-demographic groups exhibit varied preferences. The saving option characteristics, especially cost related characteristics have significant effects on individuals' preferences. Moreover, the results also showed significant effects of choice set composition on energy saving options. Further, the energy pricing policies had showed mixed effects on individual's preferences.

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Household Energy Efficiency in the UK

Cited by 55 publications

References 6 publications

Pro-environmental Households and Energy Efficiency in Spain

Pro-environmental Households and Energy Efficiency in Spain

Review of sustainability in buildings

Households transport-home energy conservation strategies in response to energy price policies: A stated adaptation experiment based on portfolio choices and cross effects designs

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