2019
DOI: 10.1016/j.enpol.2019.03.049
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Impact of rebate program for energy-efficient household appliances on consumer purchasing decisions: The case of electric rice cookers in South Korea

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Cited by 18 publications
(9 citation statements)
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“…Defining an adequate number and type of attributes and levels characterising the target product is crucial for a bias-reduced study: a small number would not take into consideration the most relevant product characteristics; on the contrary, a vast number would create an overly complex set of choices, risking cognitive bias [53,80]. Some studies show that respondents can effectively process up to six attributes at a time [81,82]; consequently, the results of this study indicate the choice of 3-5 attributes and 10-15 variables (levels) to be optimal. Studies matching these ranges rarely found "lack of attributes and/or levels" among the study's main limitations; where they did, it was usually referred to as levels.…”
Section: Selection Of Attributes and Levelsmentioning
confidence: 99%
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“…Defining an adequate number and type of attributes and levels characterising the target product is crucial for a bias-reduced study: a small number would not take into consideration the most relevant product characteristics; on the contrary, a vast number would create an overly complex set of choices, risking cognitive bias [53,80]. Some studies show that respondents can effectively process up to six attributes at a time [81,82]; consequently, the results of this study indicate the choice of 3-5 attributes and 10-15 variables (levels) to be optimal. Studies matching these ranges rarely found "lack of attributes and/or levels" among the study's main limitations; where they did, it was usually referred to as levels.…”
Section: Selection Of Attributes and Levelsmentioning
confidence: 99%
“…From a marketing perspective, promoting green/biobased consumer goods should be supported through labels by better quantifying the associated benefits [29,[84][85][86][87]. Several studies have shown that labels encourage consumers' interest in sustainable aspects, although they do not lead to sustainable behaviour due to the lack of specific information, such as energy consumption in kWT and carbon emission in CO 2 eq [81,[88][89][90]. If included, benchmarks and ranges in a specific operational environment would facilitate the added value recognition [81].…”
Section: Selection Of Attributes and Levelsmentioning
confidence: 99%
“…Consumer preference heterogeneity was also found in the study of consumer attitudes to various attributes of electrical appliances, including their energy-saving and emission-reducing features. In a recent study, Sung-Yoon et al [35] found a high heterogeneity of consumer preferences for all characteristics of an electrical appliance (i.e., rice cooker) with high importance of the price attribute. Similarly, heterogeneity was revealed in consumer preferences for the heating system.…”
Section: Consumer Preference Heterogeneitymentioning
confidence: 99%
“…To mitigate this fallacy, the smart home technology companies may consider some marketing strategies to reduce the salience of cost that consumers have already undertook, meanwhile, emphasizing those risks of retaining old household appliances, such as higher energy bill, or growing carbon emission. The industry and government might introduce some policies to reduce the switching cost for consumer from non-smart in-efficient old appliances to smart energy technology, referring to the rebate program for energy-efficient domestic appliances purchase in South Korea [111].…”
Section: Attitudes Towards Economic Performancementioning
confidence: 99%