Proposing a Value Field Model for Predicting Homebuyers' Purchasing Behavior of Green Residential Buildings: A Case Study in China

被引:6
|
作者
Zhang, Yajing [1 ]
Yuan, Jingfeng [2 ]
Li, Lingzhi [3 ]
Cheng, Hu [2 ]
机构
[1] Nanjing Inst Technol, Coll Econ & Management, Nanjing 211167, Peoples R China
[2] Southeast Univ, Coll Civil Engn, Nanjing 211189, Peoples R China
[3] Nanjing Univ Technol, Sch Civil Engn, Nanjing 211816, Peoples R China
基金
中国国家自然科学基金;
关键词
Field theory; green residential building value; value field; purchasing behavior; PERCEIVED VALUE; PLANNED BEHAVIOR; SOCIAL DISTANCE; PRICE PREMIUM; ATTITUDES; INTENTIONS; FRAMEWORK; VALUATION; POLICIES; ENHANCE;
D O I
10.3390/su11236877
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Understanding the motivations that stimulate homebuyers' green purchasing behavior can increase market demand for green products, especially considering the comparably low market share of green products worldwide. In this context, various studies have been conducted examining consumers' intentions to pay for green products. Nevertheless, there is still limited research on evaluating homebuyers' purchasing behavior toward green residential buildings. This study argues that the value of green residential buildings (GRBs) affects their adoption, and thus exerts an invisible force on homebuyers' purchasing behavior. It also finds that field theory provides a scientific perspective on this phenomenon. Thus, this paper proposes a value field model for evaluating homebuyers' GRB purchasing behavior based on physical field theory and psychology field theory. In particular, physical field theory provides the measurement formula, while psychological field theory explains the effect of the force stimulating homebuyers' purchasing intention, and ultimately influencing their purchasing behavior. The initial model consisted of a field source (green perceived value), target charge (GRB demand), distance (psychological distance), and value field factor. As the value field factor was calculated to be approximately equal to 1, the final model is a composite of a field source (green perceived value), target charge (GRB demand), and distance (psychological distance). The results validate the construction of the value field model on the basis of field theory. This research contributes to the body of knowledge by analyzing GRB value and provides a clearer understanding of how GRBs and the environment combine to fulfill homebuyers' requirements and influence their GRB purchasing behavior.
引用
收藏
页数:31
相关论文
共 21 条
  • [1] Promoting green residential buildings by increasing homebuyers' willingness to pay: Evidence from Sino-Singapore Tianjin Eco-city in China
    Liu, Yunxia
    Sun, Xuan
    Sun, Tao
    Shi, Xunpeng
    Liu, Junmin
    JOURNAL OF CLEANER PRODUCTION, 2019, 238
  • [2] Online Purchasing Behavior of Green Products: A Case Study of Generation Y in Malaysia
    Rajadurai, Jegatheesan
    Bathmanathan, Vathana
    Azami, Nurnazurah
    JOURNAL OF ASIAN FINANCE ECONOMICS AND BUSINESS, 2021, 8 (06): : 305 - 317
  • [3] Probabilistic window opening model considering occupant behavior diversity: A data-driven case study of Canadian residential buildings
    Rouleau, Jean
    Gosselin, Louis
    ENERGY, 2020, 195
  • [4] Value engineering optimal design approach of high-performance residential buildings: Case study of Kuwait
    Almansour, Mohammed
    Krarti, Moncef
    ENERGY AND BUILDINGS, 2022, 258
  • [5] Model for promoting green certification of buildings in developing nations: a case study of Nigeria
    Ebekozien, Andrew
    Ikuabe, Matthew
    Awo-Osagie, Andrew Igiebor
    Aigbavboa, Clinton
    Ayo-Odifiri, Solomon Oisasoje
    PROPERTY MANAGEMENT, 2022, 40 (01) : 118 - 136
  • [6] Proposing a socio-psychological model for adopting green building technologies: A case study from Iran
    Rajaee, Melika
    Hoseini, Seyed Mahmoud
    Malekmohammadi, Iraj
    SUSTAINABLE CITIES AND SOCIETY, 2019, 45 : 657 - 668
  • [7] A holistic approach to evaluate building performance gap of green office buildings: A case study in China
    Wu, Xiaoying
    Lin, Borong
    Papachristos, George
    Liu, Pei
    Zimmermann, Nici
    BUILDING AND ENVIRONMENT, 2020, 175
  • [8] Study on the Value Model of Urban Green Infrastructure Development-A Case Study of the Central District of Taichung City
    Hsu, Kuo-Wei
    Chao, Jen-Chih
    SUSTAINABILITY, 2021, 13 (13)
  • [9] Development of an automated estimator of life-cycle carbon emissions for residential buildings: A case study in Nanjing, China
    Li, Dezhi
    Cui, Peng
    Lu, Yujie
    HABITAT INTERNATIONAL, 2016, 57 : 154 - 163
  • [10] What affects green consumer behavior in China? A case study from Qingdao
    Zhao, Hui-hui
    Gao, Qian
    Wu, Yao-ping
    Wang, Yuan
    Zhu, Xiao-dong
    JOURNAL OF CLEANER PRODUCTION, 2014, 63 : 143 - 151