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Title Using Social Network Analysis to Identify the Critical Factors Influencing Residents' Green Consumption Behavior
ID_Doc 27784
Authors Zhang, CL; Tang, LQ; Zhang, J; Wang, ZS
Title Using Social Network Analysis to Identify the Critical Factors Influencing Residents' Green Consumption Behavior
Year 2023
Published Systems, 11.0, 5
DOI 10.3390/systems11050254
Abstract Green consumption is an important tool to accelerate the circular economy and promote sustainable development. The identification of critical influencing factors for green consumption is the key to promoting green consumption behavior (GCB). Firstly, based on the joint framework of theory of planned behavior (TPB) and the attitude-behavior-context (ABC) theory, we summarized 32 influencing factors from six dimensions: consumer attitude, cognitive factors, sense of responsibility, economic factors, government regulation, and green product supply. Secondly, the Delphi method was used to modify and optimize the initial influencing factor index. Thirdly, we constructed a social network analysis (SNA) model of influencing factors to determine the causal relationships between each influencing factor. All factors were divided into driving factors and result factors via the calculation of degree centrality, and the critical influencing factors and influencing paths of residents' GCB were ultimately determined. Finally, based on the empirical research results, corresponding countermeasures and suggestions were put forward. The results show that the top five critical influencing factors include green purchase intention, willingness to pay, risk perception, green product certification, publicity and education, green product price, and green attribute information. Among them, green product certification, publicity and education, and green product price are critical driving factors in GCB.
Author Keywords green consumption behavior; critical influencing factors; social network analysis; circular economy
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Social Science Citation Index (SSCI)
EID WOS:000996615300001
WoS Category Social Sciences, Interdisciplinary
Research Area Social Sciences - Other Topics
PDF https://www.mdpi.com/2079-8954/11/5/254/pdf?version=1684312505
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