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Title Can blockchain help curb "greenwashing" in green finance?- Based on tripartite evolutionary game theory
ID_Doc 35275
Authors Li, SL; Chen, RX; Li, ZH; Chen, XF
Title Can blockchain help curb "greenwashing" in green finance?- Based on tripartite evolutionary game theory
Year 2024
Published
DOI 10.1016/j.jclepro.2023.140447
Abstract To encourage enterprises to take green innovation, the Chinese government has been promoting the development of green finance. However, it has brought about the risk of "greenwashing". This article analyzes "greenwashing" from the perspective of government intervention, focusing on the stakeholder theory and institutional theory that influence the decision-making of participants in green finance, constructing a three-party evolutionary game model for enterprises, green financial institutions, and local governments. By comparing the stable strategy changes before and after the introduction of blockchain technology, the mechanism of blockchain in addressing the "greenwashing" risk in green finance is discussed. The study shows that: first, government regulation plays a crucial role in stimulating enterprises to engage in green innovation and encouraging green financial institutions to provide financial services; Second, before the application of blockchain technology, low-intensity regulation cannot curb the "greenwashing" of enterprises and fails to stimulate them to engage in green innovation. However, after applying blockchain technology, even under low-intensity regulation, enterprises will actively engage in green innovation under the reputation mechanism constructed in the architecture of a consortium chain. This work provides a theoretical framework and guidance for subsequent scholars to conduct quantitative research on the resolution of "greenwashing" in green finance from a government perspective using blockchain.
Author Keywords Green finance; Government intervention; Blockchain; Stakeholder theory; Institutional theory; Evolutionary game
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Science Citation Index Expanded (SCI-EXPANDED)
EID WOS:001154570000001
WoS Category Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences
Research Area Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology
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