Greenwashing behaviors in construction projects: there is an elephant in the room!

被引:17
作者
Chen, Yufan [1 ]
Wang, Ge [2 ,3 ]
He, Yuan [4 ]
Zhang, Huijin [5 ]
机构
[1] Fuzhou Univ, Sch Econ & Management, 2 Xueyuan Rd, Fuzhou 350116, Peoples R China
[2] Huazhong Agr Univ, Coll Publ Adm, 1 Shizishan St, Wuhan 430070, Peoples R China
[3] Shanghai Jiao Tong Univ, Antai Coll Econ & Management, 1954 Huashan Rd, Shanghai 200030, Peoples R China
[4] Shanghai Pinghe Sch, 261 Huangyang Rd, Shanghai 201206, Peoples R China
[5] Tongji Univ, Sch Econ & Management, 1500 Siping Rd, Shanghai 200092, Peoples R China
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
Greenwashing behaviors; Construction contractors; GONE theory; Multi-group structural equation model; Configurational analysis; ENVIRONMENTAL INFORMATION DISCLOSURE; ORGANIZATIONAL CITIZENSHIP BEHAVIOR; PSYCHOLOGICAL CONTRACT BREACH; STRUCTURAL EQUATION MODEL; MORAL DISENGAGEMENT; MEDIATING ROLE; SOCIAL DESIRABILITY; GREEN INNOVATION; FINANCIAL FRAUD; SUPPLY CHAIN;
D O I
10.1007/s11356-022-20119-y
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In the process of urbanization, a brisk building boom triggers a series of environmental problems. Construction contractors usually present environmentally fraudulent behaviors, i.e., greenwashing behaviors (GWBs), to legitimize their activities, ultimately hindering the sustainable development of the society. However, the formation mechanism of the contractors' GWBs is still unclear. Through the lens of fraud GONE theory (i.e., greed, opportunity, needs, and exposure), this study applies the multi-group structural equation model (SEM) and fuzzy-set qualitative comparative analysis (fsQCA) to examine the formation mechanisms of GWBs. The results of SEM show the relationships between four fraud factors and GWBs. Additionally, the projects are grouped into three categories: government investment projects, private-public-partnership (PPP) projects, and private investment projects. The results of multi-group SEM reveal that the effects of four fraud factors differ significantly across projects with different investment characteristics. The results of fsQCA suggest that there are three typical driving mechanisms for GWBs. Furthermore, this study develops a project information transparency framework and a "greenwashing tree" to form a systematic understanding of GWBs. Finally, on these bases, this study provides targeted suggestions and policy recommendations for governing contractors' GWBs.
引用
收藏
页码:64597 / 64621
页数:25
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