The Evolutionary Game Analysis of Multiple Stakeholders in the Low-Carbon Agricultural Innovation Diffusion
Joint Authors
Guo, Shubing
Liu, Lixia
Zhu, Yuchao
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-02-22
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Encouraging the adoption and diffusion of low-carbon agricultural technology innovation is an important measure to cope with climate change, reduce environmental pollution, and achieve sustainable agricultural development.
Based on evolutionary game theory, this paper establishes a game model among agricultural enterprises, government, and farmers and analyzes the dynamic evolutionary process and evolutionary stable strategies of the major stakeholders.
The impact of innovation subsidies, carbon taxes, and adoption subsidies on low-carbon agricultural innovation diffusion is simulated using Matlab software.
The results show that the government’s reasonable subsidies and carbon taxes for agricultural enterprises and farmers can increase the enthusiasm of agricultural enterprises and farmers to participate in low-carbon agriculture.
This study can be used as a basis for the government to formulate more targeted policies to promote the diffusion of low-carbon agricultural innovation.
American Psychological Association (APA)
Liu, Lixia& Zhu, Yuchao& Guo, Shubing. 2020. The Evolutionary Game Analysis of Multiple Stakeholders in the Low-Carbon Agricultural Innovation Diffusion. Complexity،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1142857
Modern Language Association (MLA)
Liu, Lixia…[et al.]. The Evolutionary Game Analysis of Multiple Stakeholders in the Low-Carbon Agricultural Innovation Diffusion. Complexity No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1142857
American Medical Association (AMA)
Liu, Lixia& Zhu, Yuchao& Guo, Shubing. The Evolutionary Game Analysis of Multiple Stakeholders in the Low-Carbon Agricultural Innovation Diffusion. Complexity. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1142857
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1142857