How to attract customers to buy green housing? Their heterogeneous willingness to pay for different attributes

被引:32
|
作者
He, Chenchen [1 ]
Yu, Shiwei [1 ]
Han, Qi [2 ]
de Vries, Bauke [2 ]
机构
[1] China Univ Geosci, Sch Econ & Management, Wuhan, Hubei, Peoples R China
[2] Eindhoven Univ Technol, Dept Built Environm, Eindhoven, Netherlands
基金
中国国家自然科学基金;
关键词
Green housing; Willingness to pay; Customer clusters; Discrete choice model; Developing strategy; Stimulating policy; MARKET-SEGMENTATION; DECISION-MAKING; CHINA; PREFERENCES; DRIVERS; CHOICE; COST; BUILDINGS; STRATEGY; PRICE;
D O I
10.1016/j.jclepro.2019.05.160
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
To promote the green housing (GH) diffusion, the paper analyzes the customers' willingness to pay (WTP) for GH. Especially, it divides them into clusters by two-step cluster to understand the heterogeneity in WTP. Moreover, instead of concentrating on the whole GH, it calculates the WTP for different attributes of GH by discrete choice model. 313 respondents are involved and divided into three clusters. And then, their heterogeneous WTP for attributes are calculated. It finds that: (i) The customers could be classified according to their socio-demographic and knowledge of GH, whereas the environmental concern could not be used to divide them; (ii) In general, the most attractive attributes are accessibility within 400 m to the service facilities and the comfortable indoor air quality, which could earn extra 381.63 and 375.5 RMB/m(2) respectively; (iii) Recently, people in the upper-middle class are the target customers for GH, since they are attracted by most of the green-related attributes and have the largest WTP(1233.60 RMB/m(2)). They most want to pay for indoor air quality and higher green space ratio. People in the middle class are the potential customers for GH, while the lower-middle class does not prefer to GH. Accordingly, it further proposes suggestions for developers and government in terms of which cluster is the target group and what attributes are the most important to different customers. (C) 2019 Elsevier Ltd. All rights reserved.
引用
收藏
页码:709 / 719
页数:11
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