Rethinking Diffusion Theory in an Applied Context: Role of Environmental Values in Adoption of Home Energy Conservation

Priest, Simon; Greenhalgh, Ted; Neill, Helen R.; Young, Gabriel Reuben

doi:10.1080/1533015x.2015.1096224

Cited by 7 publications

(7 citation statements)

References 12 publications

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“…The researchers made the initial hypothesis, namely motivation that is economic or based on economics, which predicts that almost all individuals or companies desire to save costs, increase the value of assets or buildings, and have high marketability of their buildings. Other empirical findings prove that predictions based on economic behavior have many obstacles (Priest et al, 2015).…”

Section: Literature Researchmentioning

confidence: 89%

“…They may adopt one technology but not the next. Rogers's theory can be less varied regarding the value or need for the target technology among adopters (Priest et al, 2015).…”

Section: Literature Researchmentioning

confidence: 99%

“…Many previous empirical studies have taken the object of research on residential housing, whether located in rural areas or urban areas (Heesen and Madlener, 2016;Fornara et al, 2016;Priest et al, 2015;Wang et al, 2017;Prete et al, 2017). Meanwhile, the researchers examining residential apartment buildings focus on the problem of the need for efficiency, efficient equipment, technology energy, and incentive problems that arise between the parties (Curtis et al, 2017;Liang et al, 2016;Prete et al, 2017;Khanna et al, 2016).…”

Section: Literature Researchmentioning

confidence: 99%

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Measurement of the Rebound Effect on Urban Household Energy Consumption Savings

Sudarmaji

Ambarwati

Munira

2022

IJEEP

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This research investigated consumer behavior patterns on energy conservation and energy efficiency. We investigated the factors that influence the rebound effect based on common characteristics and Socio-economic household characteristics in urban communities. This paper also explored the conservation of electricity through the idea of "nudge." The authors used the word "encouragement" in the chosen architectural program, designed to reduce household electricity consumption so that the rebound effect did not occur in household consumption. By utilizing the 'social norms and curtailment,' households given a "nudge" can save more on their electricity consumption costs. The condition of "nudge" that we included was through information on the costs incurred by households, 'social norms and curtailment,' and energy efficiency through replacing conventional lamps with energy-efficient lamps. The research took place in urban areas in the Bantul, Jogjakarta, between December 2021 and April 2022. Sixty-two respondents divide into two groups of households, i.e., observe households (self-selected) and control households (randomly selected). Both observe and control households must have an active electricity account for at least one year and have owned a house between 50 and 200 square meters. The model used a t-paired sample through the "Non-Equivalent Groups Design" (NEGD) framework for the two comparisons. The research found that 'social norms and curtailment' can reduce household electricity consumption, has cost savings over electricity consumption on average to 16.3049% for three months, and no rebound effect on savings happened.

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Section: Literature Researchmentioning

confidence: 89%

“…They may adopt one technology but not the next. Rogers's theory can be less varied regarding the value or need for the target technology among adopters (Priest et al, 2015).…”

Section: Literature Researchmentioning

confidence: 99%

Section: Literature Researchmentioning

confidence: 99%

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Measurement of the Rebound Effect on Urban Household Energy Consumption Savings

Sudarmaji

Ambarwati

Munira

2022

IJEEP

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“…The discrete choice experiment is used for analysing the influences of technology features on adoption decisions (Achtnicht & Madlener, 2014;Rouvinen & Matero, 2013). Other options for investigating the influences and analysing the EER adoption include linear regression analysis (Dolšak et al, 2020), factor analysis (Priest et al, 2015), and chi-square test (Long et al, 2015;Pelenur & Cruickshank, 2012). There are some differences amongst these methods.…”

Section: Analysis Methodsmentioning

confidence: 99%

“…Financial barriers are presented in different ways, such as expensive costs (Kuhe & Bisu, 2019;Pelenur & Cruickshank, 2012;Qiu, Colson & Grebitus, 2014), do-not-want-more-debt (Priest, Greenhalgh, Neill & Young, 2015), and lack of financial saving (Broers, Vasseur, Kemp, Abujidi & Vroonac, 2019). One of the information access barriers is the difficulty of finding reliable information and professionals (Ebrahimigharehbaghi et al, 2019;Ebrahimigharehbaghi, Qian, Meijer & Visscher, 2020;Priest et al, 2015). Limited information can also be described as uncertainty about the energy-saving or payback period (Achtnicht & Madlener, 2014;Qiu et al, 2014).…”

Section: Adoption Drivers and Barriersmentioning

confidence: 99%

Modelling energy-efficient renovation adoption and diffusion process for households: A review and a way forward

Hua

Han

Vries

2022

Sustainable Cities and Society

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Factors influencing homeowners’ housing renovation decision-making: Towards a holistic understanding

Tan

Huang

et al. 2022

Energy and Buildings

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Rethinking Diffusion Theory in an Applied Context: Role of Environmental Values in Adoption of Home Energy Conservation

Cited by 7 publications

References 12 publications

Measurement of the Rebound Effect on Urban Household Energy Consumption Savings

Measurement of the Rebound Effect on Urban Household Energy Consumption Savings

Modelling energy-efficient renovation adoption and diffusion process for households: A review and a way forward

Factors influencing homeowners’ housing renovation decision-making: Towards a holistic understanding

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