Savings estimates for the United States Environmental Protection Agency's ENERGY STAR voluntary product labeling program

Sanchez, Marla; Brown, Richard E.; Webber, Carrie A.; Homan, Gregory

doi:10.1016/j.enpol.2008.02.021

Cited by 114 publications

(42 citation statements)

References 13 publications

(11 reference statements)

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“…Evaluation studies based on aggregate observed data find that the existing energy labelling programs for household appliances in the US, the EU and Australia are effective in terms of energy and carbon reductions (e.g. Sanchez et al, 2008;Lane et al, 2007;Banerjee and Solomon, 2003;Schiellerup, 2002;Bertoldi, 1999;Waide, 2001;Waide, 1998 Ek and Söderholm (2010) confirm that providing more concrete information on energy savings measures is likely to be more effective than rather general information. In sum, information may improve the level and the quality of knowledge on energy conservation measures, but improved information need not necessarily result in energy conservation.…”

Section: Informationmentioning

confidence: 99%

Residential energy-efficient technology adoption, energy conservation, knowledge, and attitudes: An analysis of European countries

2012

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Abstract:Relationships between a number of measures of household energy use behavior are estimated using a unique dataset of approximately 5,000 households in ten EU countries and Norway. Knowledge of energy consumption and energy-efficient technology options is found to be associated with household use of energy conservation practices, but not with adoption of energy-efficient technologies. Household characteristics also influence household energy use behavior. Younger household cohorts are more likely to adopt energy-efficient technologies and energy conservation practices and place primary importance on energy savings for environmental reasons, while households with a high share of elderly members place more importance on financial savings. Education also influences attitudes towards energy conservation. Low education households indicate they primarily save electricity for financial reasons, while high education households indicated they are motivated by environmental concerns. Significant country differences also exist. Households in transitioning Eastern European countries generally have lower levels of energy-efficient technology adoption, but strong propensities to employ energyconservation practices, and place less importance on saving electricity for environmental reasons compared to households in Western European countries. EU policies to promote residential adoption of energy-efficient technologies and energy conservation practices must be sensitive to both cross-country and intra-county variations in household energy use behavior.

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Section: Informationmentioning

confidence: 99%

Residential energy-efficient technology adoption, energy conservation, knowledge, and attitudes: An analysis of European countries

2012

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“…More than 68% of households keep refrigerators on for more than 10 months of the year, and 66% of households keep Energy efficiency labels have proved to be a powerful program to reduce energy consumption in developed countries [39,40]. In this survey, the types of refrigerators and air conditioners of households purchased was included, and the percentage of refrigerators and air conditioners that are energy-efficient account for 60% and 63%, respectively, while about 10% of households know little about energy efficiency.…”

Section: Appliancesmentioning

confidence: 99%

Residential Fuel Choice in Rural Areas: Field Research of Two Counties of North China

Hou

et al. 2017

Sustainability

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Solid fuels are still widely used in rural China though the living standard has improved greatly. Energy poverty is an obvious indicator of poverty, which has serious effects on economic development, environment, and health. In this paper, we conducted a detailed analysis on fuel choice and usage behavior of different end-use activities in rural residential energy consumption. Using 717 household observations from micro-survey data in two counties of Shandong and Hebei province in 2016, we find that biomass is the dominant fuel used for cooking among all energy sources despite of obvious decreasing trend in recent years, accounting for 44%. Clean energy used to cook increased markedly with a proportion of nearly 50%. Solar energy is an ordinary fuel used for water heating except for biomass. Almost 90% of households rely on coal for space heating in winter, and one-third of households have space heating for fewer than two months. Ownership of home appliances for basic needs is higher than that for hedonistic needs, and usage behaviors of some appliances are economical. Fuel accessibility of commercial energy have improved noticeably in rural areas, and the high proportion usage of biomass is affected by family income, usage habits, local resources, environmental recognition, education, and age. Since the negative effects of using solid fuels, it is urgent to cleanse biomass, develop new energy, and improve residents' cognition about the consequences of using solid fuels.

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“…For example, the Energy Star program has significantly reduced economic costs and CO 2 emissions associated with electricity consumption [32]. The products of suppliers are qualified by eco-labels, such as the energy-saving label, green mark, and water-saving label, hotel operators can implement green purchasing to reduce energy consumption.…”

Section: Eco-labeling Of Productsmentioning

confidence: 99%

Low Carbon Supplier Selection in the Hotel Industry

et al. 2014

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Abstract:This study presents a model for evaluating the carbon and energy management performance of suppliers by using multiple-criteria decision-making (MCDM). By conducting a literature review and gathering expert opinions, 10 criteria on carbon and energy performance were identified to evaluate low carbon suppliers using the Fuzzy Delphi Method (FDM). Subsequently, the decision-making trial and evaluation laboratory (DEMATEL) method was used to determine the importance of evaluation criteria in selecting suppliers and the causal relationships between them. The DEMATEL-based analytic network process (DANP) and VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) were adopted to evaluate the weights and performances of suppliers and to obtain a solution under each evaluation criterion. An illustrative example of a hotel company was presented to demonstrate how to select a low carbon supplier according to carbon and energy management. The proposed hybrid model can help firms become effective in facilitating low carbon supply chains in hotels.

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Savings estimates for the United States Environmental Protection Agency's ENERGY STAR voluntary product labeling program

Cited by 114 publications

References 13 publications

Residential energy-efficient technology adoption, energy conservation, knowledge, and attitudes: An analysis of European countries

Residential energy-efficient technology adoption, energy conservation, knowledge, and attitudes: An analysis of European countries

Residential Fuel Choice in Rural Areas: Field Research of Two Counties of North China

Low Carbon Supplier Selection in the Hotel Industry

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