Data-Driven Disintermediation in Green Technology Supply-Demand Matching: Mechanisms and Evidence

Authors

DOI:

https://doi.org/10.65514/cpjpb006

Keywords:

Green Technology Transfer; Data Elements; Functional Disintermediation

Abstract

Despite the surge in green innovation, technology transfer remains constrained by high search frictions and trust deficits that traditional human-centric intermediation struggles to resolve. Grounded in Transaction Cost Theory, this study conducts an exploratory dual-case study of the "Zhizhe" Model and "Anxinwu" Platform in China to investigate how data elements reconstruct this mechanism. The findings reveal a "Dual-Drive Mechanism" where AI-enabled semantic alignment reduces ex-ante search costs, while blockchain-based evidence chains mitigate ex-post trust costs by substituting bureaucratic endorsement. We conclude that digitization leads to "Functional Disintermediation"—decoupling routine matching and verification from human agents—contingent upon "Techno-Institutional Co-evolution".

Author Biographies

  • Guoyin Zhang, School of Economics and Management, Taiyuan University of Technology, Taiyuan, China

    Guoyin Zhang, School of Economics and Management, Taiyuan University of Technology, Taiyuan, China. He received his PhD in management from the University of Electronic Science and Technology of China in 2020. He is the co-author of more than 10 scientific studies. In the past five years, his works (1st author or corresponding author) have been published in journals such as International Game Theory Review, Sustainability, among others. His research interests include digital innovation, knowledge management, organizational behavior. He can be contacted at: 287613038@qq.com

  • Rong Li, chool of Economics and Management, Shanxi University, Taiyuan, China

     Rong Li, School of Economics and Management, Shanxi University, Taiyuan, China. She received her PhD in management from the University of Electronic Science and Technology of China, Chengdu, China in 2019. Her ORCID is: https://orcid.org/0009-0007-8110-5697. She can be contacted at: lizirong@sxu.edu.cn

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Published

2026-01-27

How to Cite

Zhang, G., & Li, R. (2026). Data-Driven Disintermediation in Green Technology Supply-Demand Matching: Mechanisms and Evidence. Contemporary Sustainability Development, 1(1), 55-66. https://doi.org/10.65514/cpjpb006