Local Government’s Intention to Use Public-Private Partnerships for Infrastructure Projects in China: Antecedents in a Technology Acceptance Model

Menglei Jiang, Caiyun Cui, Bo Xia, Martin Skitmore, Yongjian Ke and Yong Liu ()
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Menglei Jiang: School of Civil Engineering and Architecture, Zhejiang Sci-Tech University, 928, No. 2 Street, Xiasha, Qiantang District, Hangzhou 310018, China
Caiyun Cui: School of Civil Engineering and Architecture, North China Institute of Science and Technology, No. 467, Xueyuan Street, Yanjiao High-Tech Industrial Development Zone, Langfang 065201, China
Bo Xia: School of Architecture and Built Environment, Queensland University of Technology (QUT), 2 George Street, Brisbane, QLD 4001, Australia
Martin Skitmore: Faculty of Society and Design, Bond University, Robina, QLD 4226, Australia
Yongjian Ke: School of Built Environment, University of Technology Sydney, Ultimo, NSW 2007, Australia
Yong Liu: School of Civil Engineering and Architecture, Zhejiang Sci-Tech University, 928, No. 2 Street, Xiasha, Qiantang District, Hangzhou 310018, China

Sustainability, 2025, vol. 17, issue 6, 1-24

Abstract: Public-private partnerships (PPPs) are globally recognized for their innovative infrastructure delivery and public services; however, the factors influencing their adoption in China remain unexplored. This study investigates PPPs using the technology acceptance model (TAM). Surveying 353 regional civil servants reveals a direct positive impact of complexity on PPP policy. Additionally, policy positively correlates with perceived usefulness and ease of use, mediated by relative advantage, belief in benefits, and facilitating conditions. Regional disparities exist, with notable differences in complexity, perceived ease of use, and usage intention. These findings contribute to the PPP literature and offer practical insights for policymakers regarding sustainable PPP coordination.

Keywords: public-private-partnership; infrastructure projects; local government usage intention; technology acceptance model; China (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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