ORIGINAL RESEARCH
Research on Value Realization Decision
of Green Innovation Ecosystem from
the Perspective of Trust Transfer
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1
School of Science and Technology, Shenyang Polytechnic College, Shenyang/110045, China
2
School of Public Finance and Tax, Central University of Finance and Economics, Beijing/100081, China
Submission date: 2023-08-09
Final revision date: 2023-08-29
Acceptance date: 2023-08-29
Online publication date: 2023-11-07
Publication date: 2023-12-19
Corresponding author
Lei Fu
School of Science and Technology, Shenyang Polytechnic College, China
Pol. J. Environ. Stud. 2024;33(1):137-150
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ABSTRACT
Green innovation ecosystem value realization is crucial to building an environmentally friendly
society and achieving the “dual-carbon” goal, and trust transfer provides a new perspective. This paper
divides the participating subjects in the green innovation ecosystem into technology R&D platform,
promotion and service group, consumption, and application group. It constructs a game model of the
trust transfer mechanism’s evolution to examine each key factor’s impact on the value realization
decision. The conclusions are as follows: (1) The initial willingness of the three groups does not affect
the stabilization strategy of ecological value realization, and the higher the degree of green technology
innovation and application, the more perfect the trust transfer network, the higher the benefits generated
by value realization of innovative subjects. (2) Subsidized incentives for technology R&D platform by
promotion and service group can facilitate the ecosystem value realization process. At the same time,
excessive monitoring can discourage technology R&D platform from conducting green technology
R&D. (3) The consumer application group is an essential “navigator,” providing a particular direction
guidance for green technology R&D, in which the consumer application group chooses to accept
the green product strategy will promote the improvement of the trust transmission network and the
value realization process, and on the contrary, it will have an inhibitory effect. The study’s conclusions
provide a vital decision-making basis for green innovation ecosystems’ high-quality and sustainable
development.