Household preferences for energy saving measures: Approach of discrete choice models

Jridi, Omar; Bargaoui, Saoussen Aguir; Nouri, Fethi Zouheir

doi:10.1016/j.enbuild.2015.06.013

Cited by 24 publications

(11 citation statements)

References 32 publications

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“…(ii) Housing (dwelling type, tenure status, date of construction, number of parts, etc.). (iii) The residential energy equipments, of which STEG gives attention to the energy saving equipments, namely energy saving lamps, the solar water heaters, labeling of refrigerators [2] .…”

Section: Data Experimental Design Materials and Methodsmentioning

confidence: 99%

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Survey of socio-economic and contextual factors of households׳ energy consumption

Jridi

Nouri

2015

Data in Brief

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We present a set of data relating to the investigation of the Tunisian Company of Electricity and Gas (STEG). The census is done on a sample of 3000 electrified households. The questionnaire is divided into three main sections: household socioeconomic status, contextual characteristics related to their housing and technical characteristics of equipments used. The objective of this survey is to achieve a reliable and detailed knowledge on the behavior of household energy consumption, particularly for energy saving behavior. This objective has recently been the subject of a research article Jridi et al. (2015) [2].

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Section: Data Experimental Design Materials and Methodsmentioning

confidence: 99%

“…The objective of this survey is to achieve a reliable and detailed knowledge on the behavior of household energy consumption, particularly for energy saving behavior. This objective has recently been the subject of a research article Jridi et al (2015) [2] .…”

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confidence: 99%

Survey of socio-economic and contextual factors of households׳ energy consumption

Jridi

Nouri

2015

Data in Brief

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“…It should be noted that there is a clear precedent for using this type of analytical model to better understand a discrete dependent variable, particularly when it involves the prediction of an individual's likelihood to adopt a particular choice or undertake a behavior [60,61]. In this particular study, although only 9% of respondents have had an energy audit, this represents 458 individuals, and the total sample size is still large (n = 5088).…”

Section: Analytic Strategymentioning

confidence: 99%

Understanding the Drivers of National-Level Energy Audit Behavior: Demographics and Socioeconomic Characteristics

Hewitt

Wang

2020

Sustainability

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The energy audit-an assessment of a home's energy systems performed by a trained auditor in order to provide the resident with strategies for saving energy and money-is provided by many utility companies throughout the United States for free or at a reduced cost. The uptake of such programs is generally low, and little is known about audit participants. Importantly, as more evidence points to the need to look beyond physical building characteristics to increase energy efficiency, this work explores if specific characteristics of the individual are correlated with increased participation in audit programs. This research analyzes the most recent (2015) national level Residential Energy Consumption Survey (RECS) data through a binary logit regression to determine what socioeconomic and demographic factors, if any, are statistically significant in linking to the decision to undertake an audit, while controlling for physical building characteristics. The findings indicate that age has a significant and positive relationship with the decision to undertake an audit, as does being non-white, while renting has a significant and negative relationship. Knowledge about national-level participation in audit programs can help policy makers craft more strategic incentives to increase participation and, ultimately, help connect the audit decision to the more important next step of retrofits and upgrades to save energy.

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“…Using survey data from Tunisia, Jridi et al (2015) found that compared with traditional water heaters, both income and educational level exert a positive impact on the application of solar water heaters.…”

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confidence: 99%

Green transition of energy systems in rural China: National survey evidence of households’ discrete choices on water heaters

Urban

2018

Energy Policy

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Energy systems in rural China are experiencing a transition from traditional fossil fuels to renewables. This paper aims to investigate the potential factors that influence the choices of rural residents regarding water heaters with a focus on the low-carbon transition to solar water heating systems. To this end, a face-to-face questionnaire survey is undertaken with 3404 rural households randomly selected among 12 representative provinces. A comprehensive set of discrete choice modelling approaches were used. The empirical results show that (1) sociodemographic variables have significant effects on residents' first-stage choice of a water heater (to buy or not to buy) but few effects on the second-stage decision to choose electric, LPG, or solar water heaters (which type to buy); (2) information spillover is important to facilitate the usage of water heaters, particularly of solar products; (3) the electricity price, which is regulated at a very low rate, has no apparent effect on the choice of solar water heaters; (4) government subsidy has a significant effect in the first stage but no differentiated effect on the decision choice in the second stage. Policy and managerial implications are presented to speed up the ongoing low-carbon transition of energy systems in China.

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Household preferences for energy saving measures: Approach of discrete choice models

Cited by 24 publications

References 32 publications

Survey of socio-economic and contextual factors of households׳ energy consumption

Survey of socio-economic and contextual factors of households׳ energy consumption

Understanding the Drivers of National-Level Energy Audit Behavior: Demographics and Socioeconomic Characteristics

Green transition of energy systems in rural China: National survey evidence of households’ discrete choices on water heaters

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