A comparison of consumer perceptions towards smart homes in the UK, Germany and Italy: reflections for policy and future research

Balta‐Ozkan, Nazmiye; Amerighi, Oscar; Boteler, Benjamin

doi:10.1080/09537325.2014.975788

Cited by 125 publications

(89 citation statements)

References 36 publications

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“…The visibility of the panels can be a further contributing factor in addition to peer effects within the group. Indeed, the UK public's distinction between taking visible actions like installation of a solar panel versus non-visible actions such as building certificates and ratings has been noted in the literature (Balta-Ozkan et al, 2014b).…”

Section: Accepted Manuscriptmentioning

confidence: 99%

Regional distribution of photovoltaic deployment in the UK and its determinants: A spatial econometric approach

2015

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Photovoltaic (PV) panels offer significant potential for contributing to the UK's energy policy goals relating to decarbonisation of the energy system, security of supply and affordability. The substantive drop in the cost of panels since 2007, coupled with the introduction of the Feed-in Tariff (FiT) Scheme in 2010, has resulted in a rapid increase in installation of PV panels in the UK, from 26.5MWp in 2009 to over 5GW by the end of 2014. Yet there has been no comprehensive analysis of the determinants of PV deployment in the UK. This paper addresses this gap by employing spatial econometrics methods to a recently available data set at a fine geographical detail. Following a traditional regression analysis, a general to specific approach has been adopted where spatial variations in the relationships have been examined utilizing the spatial Durbin model using the cross-sectional data relating to the UK NUTS level 3 data. Empirical results indicate that demand for electricity, population density, pollution levels, education level of households and housing types are among the factors that affect PV uptake in a region. Moreover Lagrange Multiplier test results indicate that the spatial Durbin model may be properly applied to describe the PV uptake relationship in the UK as there are significant regional spillover effects.

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Section: Accepted Manuscriptmentioning

confidence: 99%

Regional distribution of photovoltaic deployment in the UK and its determinants: A spatial econometric approach

2015

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“…Here we come up with a hypothesis that residents' attitude towards technical performance (ATTP) of SHET is positively related with the adoption intention of SHET. In total seven categories of measurement indicators relevant with technical performance are investigated from previous studies, including: information feedback [7], automation, controllability [56], reliability ( [16,54], convenience [57], privacy protection and safety [8,16,55,58,59].…”

Section: Residents' Attitude Towards Adoption Intention Of Shetmentioning

confidence: 99%

“…A higher expected monetary gains and shorter payback period would improve the evaluation of the smart home equipment [57]. Balta-Ozkan also conducted a comparative study about consumers' perceptions about smart home technology in the UK, Germany and Italy, revealing that people's perception of the economic performance, such as reducing energy cost was one key driver for smart home adoption in the three European countries [59]. Wong pointed out a low maintenance cost during the usage phase is a significant indicator of good economic performance [54].…”

Section: Residents' Attitude Towards Adoption Intention Of Shetmentioning

confidence: 99%

Critical Factors Influencing the Adoption of Smart Home Energy Technology in China: A Guangdong Province Case Study

Chan

2019

Energies

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Smart home energy technology has been verified to be successful for energy reduction in the residential sector. However, the current penetration rate of smart home energy technology is at a low level. Considering the factors of economy, policy, and demographics, Guangdong Province in China is a suitable region as an exemplary case to promote smart home energy technology through the urban residents. Therefore, using Guangdong as the targeting area, this research examined the factors influencing residents’ intention to adopt smart home energy technology. A theoretical model based on the theory of planned behavior and Norm Activation Model theory was developed, with special consideration of the complex technical features. A questionnaire survey was performed in Guangdong Province and the data was analyzed by PLS-SEM. The analysis results indicated that residents’ attitude towards technical performance, social norm, perceived behavioral control, and personal norm all have positive influence on the adoption intention, of which, attitude towards technical performance had the strongest effect. On the other hand, the attitude towards economic performance was found not to lead adoption intention. To explain this consequence, the discussion based on behavioral economics was proposed.

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“…The design of our questionnaire was formulated after reviewing studies on demand side management [1], [7]- [9], [16], [17], consumer perception and awareness on demand side management [2], [4], [18], [19], demand side management adoption [20]- [22], and peak demand reduction [14], [15], [23], [24]. In addition, we carried out an extensive review of government publications on Kenya's energy sector [10]- [12], [25].…”

Section: Introductionmentioning

confidence: 99%

The Future Contribution of Demand Side Management to Solving Kenya’s Energy Insecurity Problems

Kiprop¹,

Matsui²,

Maundu³

2020

IJESD

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With technological advancement, demand side management has become important part of energy conservation in developed countries. In developing countries, it can also contribute to alleviating energy supply insecurity, but so far only a few countries have adopted it. This paper attempts to understand how administrative personnel in Kenya's government agencies, including energy research institutions, perceived about the acceptability and accessibility of demand side management among the electricity consumers. We conducted the questionnaire survey among government officials, independent power producers and researchers to identify their perceptions about public awareness, willingness, and practice of adopting demand side management. Our questionnaire also attempted to clarify the viability and the impact of implementing various demand side management options. The results show that about 68% of the respondents believed that the public had low awareness. About 62% were still optimistic that the electricity consumers would adopt demand side management in the future. In terms of educating the consumers about the importance of this management, about 72% were rarely engaged. As to the extent to which our respondents found the viability of various demand side management options, the respondent emphasized the importance of price-responsive demand (81%), renewable energy adoption by households (74%), energy efficiency and conservation (64%) and integration of smart appliances (61%). About 48% of the respondents believed that the peak demand would be reduced by over 50% by implementing these options.

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A comparison of consumer perceptions towards smart homes in the UK, Germany and Italy: reflections for policy and future research

Cited by 125 publications

References 36 publications

Regional distribution of photovoltaic deployment in the UK and its determinants: A spatial econometric approach

Regional distribution of photovoltaic deployment in the UK and its determinants: A spatial econometric approach

Critical Factors Influencing the Adoption of Smart Home Energy Technology in China: A Guangdong Province Case Study

The Future Contribution of Demand Side Management to Solving Kenya’s Energy Insecurity Problems

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