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Willingness to pay for improvements in environmental performance of residential buildings

The aim of this study is to determine preferences for the environmental factors of residential buildings by using two different methods: the conjoint analysis and ranking method. We tried to identify consumers' monetary value regarding environmental performance by testing their Marginal Willing to Pay (MWTP). A survey was conducted in Seoul, Korea to clarify the preference and monetary value of four selected attributes representing environmental performance. These attributes are reduction of energy bills, reduction of CO2 emissions, reduction of volatile organic compound emissions, and application of information technology facilities. The result can be summarized as follows. The MWTP for 1% reduction of CO2 emission is estimated about $377 USD, being 2 times higher than that for reduction of VOC emissions and almost same as that for the reduction of energy bills. The energy bill is most preferred and IT facilities are least preferred in ranking method. Preferences vary according to respondents' socio-demographic factors and the numerical information in conjoint analysis makes strongly reflect them.
- Yonsei University Korea (Republic of)
- Yonsei University Korea (Republic of)
- Kyushu University Japan
- Kyushu University Japan
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).31 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
