Evolutionary Game Mechanism on Complex Networks of Green Agricultural Production under Intensive Management Pattern

The diffusion of green agricultural production under intensive management pattern is an interactive process of strategy comparison and learning on complex networks among traditional farmers and new agricultural operation entities. Based on the theory of evolutionary game and complex networks, we con...

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Published inComplexity (New York, N.Y.) Vol. 2020; no. 2020; pp. 1 - 13
Main Authors Du, Jianguo, Xu, Lingyan, Zhou, Zhuoyun
Format Journal Article
LanguageEnglish
Published Cairo, Egypt Hindawi Publishing Corporation 21.03.2020
Hindawi
John Wiley & Sons, Inc
Wiley
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Summary:The diffusion of green agricultural production under intensive management pattern is an interactive process of strategy comparison and learning on complex networks among traditional farmers and new agricultural operation entities. Based on the theory of evolutionary game and complex networks, we construct evolutionary game models on the scale-free networks to simulate the evolution process of green agricultural production under the market mechanism and the government guidance mechanism, respectively. The comparison analysis results in different scenarios show that the stable state of the green agricultural production network is determined by interactions among the subjects. Detailed experimental results indicate that the double-score system under government guidance mechanism has a significant effect on the diffusion of the green agricultural production, of which the extra reward or penalty obtained from government is crucial. Besides, the diffusion of the green agricultural production under the market mechanism is mostly affected by the net profit of green agricultural production. These results are of great significance for increasing efficiency of government’s incentive and promoting the initiatives of traditional farmers and new agricultural operation entities in the green agricultural production.
Bibliography:ObjectType-Article-1
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content type line 14
ISSN:1076-2787
1099-0526
DOI:10.1155/2020/8541517