Delivering energy efficiency and carbon reduction schemes in England: Lessons from Green Deal Pioneer Places

Marchand, Robert; Koh, S.C. Lenny; Morris, Jonathan

doi:10.1016/j.enpol.2015.04.035

Cited by 51 publications

(55 citation statements)

References 24 publications

(32 reference statements)

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“…These policies include financial subsidies, tax deduction, exemptions, and other related policies, which are crucial in motivating consumers' WTP [52]. Notably, if economic subsidies from the government are available, then practitioners will show a notable WTP for GH.…”

Section: Practitioners' Subjective Normmentioning

confidence: 99%

Key Factors Affecting Informed Consumers’ Willingness to Pay for Green Housing: A Case Study of Jinan, China

Lin

Chen

et al. 2018

Sustainability

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Abstract:In recent years, the issues of large energy consumption and degraded living environments have attracted considerable attention in developed and developing countries. Hence, green housing (GH) has become a popular strategy for achieving sustainable urbanization. The demand in the GH market played an important role in promoting GH. In China, whether potential consumers will pay for GH remains unclear. In this circumstance, this study aims to explore the willingness of construction practitioners, who are regarded to have more knowledge concerning GH, to pay for GH in China. Based on the theory of planned behavior (TPB), nine critical factors related to practitioners' willingness to pay (WTP) were examined through face-to-face interviews using a questionnaire survey. A total of 180 construction participants in Jinan were investigated in this study. A binary logistic regression model was used to analyze the collected data. The research finding revealed that only 68 respondents were willing to pay for GH. Four factors showed significant and positive influences in practitioners' WTP, including environmental awareness, GH comfort, government incentive, and neighbors'/friends' assessment. By contrast, GH price displayed a significant and negative influence in practitioners' WTP. The remaining factors, namely, mature GH market, degree of popularity, publicity of GH from developers, and GH affordability, showed insignificant relationships with the practitioners' WTP. The research findings can provide a helpful reference for policy makers to formulate effective incentive policies in the promotion of GH.

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Section: Practitioners' Subjective Normmentioning

confidence: 99%

Key Factors Affecting Informed Consumers’ Willingness to Pay for Green Housing: A Case Study of Jinan, China

Lin

Chen

et al. 2018

Sustainability

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“…One of the key developments of the 2013 policies was the focus on stimulating an energy efficiency refurbishment market: under the Green Deal households are to cover the upfront costs of energy efficiency improvements to their house through a loan which is secured on the property and paid back through savings to energy bills (HM Government 2011; Department of Energy and Climate Change [DECC] 2011a; Dowson et al 2012), whilst the ECO scheme obliges larger energy companies to deliver energy efficiency measures to vulnerable consumer groups and hard-to-treat properties, primarily to tackle fuel poverty 1 (DECC 2011b;DECC 2013a). Although the general methods used to tackle fuel poverty and reduce energy consumption may be broadly similar-such as the interventions provided under the Green Deal and ECO schemes-the impact on carbon emissions may vary depending on the value households place on increased warmth (Scott et al 2014;Marchand et al 2015). In this paper, the focus is on policies to reduce energy consumption, such as the Green Deal, as part of efforts to reduce CO 2 emissions.…”

Section: Current Policy Approachesmentioning

confidence: 99%

Benchmarking and tracking domestic gas and electricity consumption at the local authority level

et al. 2015

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Government, local authority and industry initiatives to improve the energy efficiency of housing stocks are central to national and international commitments to reduce carbon dioxide emissions. To be effective, initiatives need to target homes which, given their location, size, fuel type and occupancy, use more energy than expected. This paper illustrates how energy efficiency benchmarks can be developed that account for these factors and highlights the shortcomings of relying on simple energy consumption statistics. The study uses existing data (with national coverage) and the measured electricity and gas consumption of groups consisting of, on average, 500-700 households to benchmark and track domestic gas and electricity consumption across England. Multiple regression models, which account for 65 % of the variation in domestic gas consumption and 73 % of domestic electricity variation, are used to derive the benchmarks. The actual gas and electricity consumption of each group of homes is compared against the derived benchmark and an energy efficiency index presented. The approach enables changes in energy efficiency to be tracked temporally, for example to assess the effectiveness of government, local authority or industry initiatives. National and city-scale patterns of energy efficiency are also discussed.

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“…Failure or under-achievement in energy efficiency programmes is unfortunately common, with the collapse of the UK Government's flagship thermal improvement programme, the "Green Deal" being a recent prominent example [42]. During its short lifespan, the scheme achieved penetration rates far below anticipated levels and was abruptly cancelled with no replacement policy in place.…”

Section: Behavioural Complexity In Energy Modellingmentioning

confidence: 99%

Actors behaving badly: Exploring the modelling of non-optimal behaviour in energy transitions

2017

Energy Strategy Reviews

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There are real political and social barriers to climate mitigation that arise from multiactor dynamics and micro-economic decisions. Exploratory analysis that captures key uncertainties in the energy system, including behaviour, is crucial for policy design aimed at achieving ambitious greenhouse gas (GHG) mitigation targets. This paper explores the case for developing policy assessments that include non-optimal behaviour in energy systems modelling. A stochastic system dynamic model of the energy system that features multiple actors with differentiated behaviours is used to investigate energy transition pathways that deviate from strict economic rationality. The results illustrate the risks of basing GHG reduction strategies on analysis that overlooks key insights into decision making from fields such as behavioural economics and political science. KeywordsEnergy systems modeling; climate policy; decarbonization; behavioral economics; uncertainty; Highlights• Dynamic stochastic model of energy transitions used to explore actor behaviour • Uncertainty analysis explores impact of sub-optimal actor choices and policies • Behaviour could be as significant as the techno-economic drivers of transitions • Climate targets difficult to achieve without idealised assumptions about behaviour • Energy systems modelling must expand consideration of socio-political factors

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Delivering energy efficiency and carbon reduction schemes in England: Lessons from Green Deal Pioneer Places

Cited by 51 publications

References 24 publications

Key Factors Affecting Informed Consumers’ Willingness to Pay for Green Housing: A Case Study of Jinan, China

Key Factors Affecting Informed Consumers’ Willingness to Pay for Green Housing: A Case Study of Jinan, China

Benchmarking and tracking domestic gas and electricity consumption at the local authority level

Actors behaving badly: Exploring the modelling of non-optimal behaviour in energy transitions

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