An Evolutionary Game Analysis of Carbon Trading Mechanisms for Governments, Farmer Professional Cooperatives and Farmers

Farmer professional cooperatives are the focus objects of agricultural carbon emission reduction; with the use of the advantages of scale economy and technology, one can promote the development of low-carbon agriculture. In order to study the influencing factors of agricultural carbon emission reduction on farmer professional cooperatives, we explore the interaction effects of carbon emission reduction behavior between farmer professional cooperatives and farmers under government interventions. This paper introduces a carbon transaction mechanism as well as reward and punishment polices into a tripartite evolutionary game model between farmer professional cooperatives, governments, and farmers. Based on the model, we identify a stable evolution strategy and perform simulation analysis. The results indicate that the carbon transaction mechanism can effectively suppress the negative effect of increased costs through higher revenues of the carbon transaction, and carbon prices above 60 CNY/ton enable cooperatives to reduce regional emissions. Higher revenues can promote positive carbon emission reduction behaviors of farmer professional cooperatives and farmers. The sharing ratio increases from 20% to 80%, and farmers gain additional benefits by cooperating in the farmer professional cooperative practices to reduce emissions. Rational regulation of carbon transaction price and quota can promote the participation of farmer professional cooperatives in carbon emission reduction practices and promote the farmers’ inclusion into farmer professional cooperatives.

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Publication Details

Journal
Systems
Published
2025-05-27
DOI
https://doi.org/10.3390/systems13060413
Citations
3
Primary Topic
Business Strategy and Innovation
Type
article
Field-Weighted Citation Impact
6.68

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article

An Evolutionary Game Analysis of Carbon Trading Mechanisms for Governments, Farmer Professional Cooperatives and Farmers

Feng Jian, Qianqian Chu, Nicola Cannon, Haoyang Li et al.
3 citations
Systems
Business Strategy and Innovation
6.68
article

An Evolutionary Game Analysis of Carbon Trading Mechanisms for Governments, Farmer Professional Cooperatives and Farmers

Feng Jian, Qianqian Chu, Nicola Cannon, Haoyang Li, Xianmin Chang
article en
3 citations

Abstract

Farmer professional cooperatives are the focus objects of agricultural carbon emission reduction; with the use of the advantages of scale economy and technology, one can promote the development of low-carbon agriculture. In order to study the influencing factors of agricultural carbon emission reduction on farmer professional cooperatives, we explore the interaction effects of carbon emission reduction behavior between farmer professional cooperatives and farmers under government interventions. This paper introduces a carbon transaction mechanism as well as reward and punishment polices into a tripartite evolutionary game model between farmer professional cooperatives, governments, and farmers. Based on the model, we identify a stable evolution strategy and perform simulation analysis. The results indicate that the carbon transaction mechanism can effectively suppress the negative effect of increased costs through higher revenues of the carbon transaction, and carbon prices above 60 CNY/ton enable cooperatives to reduce regional emissions. Higher revenues can promote positive carbon emission reduction behaviors of farmer professional cooperatives and farmers. The sharing ratio increases from 20% to 80%, and farmers gain additional benefits by cooperating in the farmer professional cooperative practices to reduce emissions. Rational regulation of carbon transaction price and quota can promote the participation of farmer professional cooperatives in carbon emission reduction practices and promote the farmers’ inclusion into farmer professional cooperatives.

SystemsVol. 13(6)
Qingdao Agricultural University (CN), Royal Agricultural University (GB)
Qingdao Agricultural University
Openalex Percentile: Top 4%
Business Strategy and Innovation
6.68
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