Driving Factors in Carbon Emission Reduction in Prefabricated Building Supply Chains Based on Structural Equation Modelling

Wei Liu, Guohao Fan () and Zixuan Liu
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Wei Liu: School of Civil Engineering and Architecture, East China Jiaotong University, Nanchang 330013, China
Guohao Fan: School of Civil Engineering and Architecture, East China Jiaotong University, Nanchang 330013, China
Zixuan Liu: School of Civil Engineering and Architecture, East China Jiaotong University, Nanchang 330013, China

Sustainability, 2024, vol. 16, issue 8, 1-22

Abstract: As one of the development paths of construction industrialization, prefabricated buildings (PBs) are an important means for China’s construction industry to achieve the “double carbon” goal. To better leverage the energy-saving and emission-reduction benefits of prefabricated buildings, we have analyzed the driving factors and driving paths of carbon emission reduction in prefabricated buildings from the perspective of the supply chain. The carbon emission-reduction driving index system of prefabricated building supply chains (PBSCs) was constructed through the literature review method and the questionnaire investigation method. The structural equation model (SEM) was used to analyze the relationship of each driving factor. The importance of each driving factor was quantitatively analyzed on account of the model’s operation results. The results showed: the order of importance of driver levels is technology-driven > economic-driven > market-driven > government-driven > supply chain coordination-driven. The key driving factors are summarized based on the ranking of driving factor indicators in each dimension, providing a reference for participants in PBSCs to adopt low-carbon measures and providing a basis for government departments to formulate carbon emission-reduction strategies.

Keywords: prefabricated buildings; supply chain; SEM; carbon emission reduction; driving factors (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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