Advances in Economics, Management and Political Sciences
- The Open Access Proceedings Series for Conferences
Proceedings of the 2nd International Conference on Financial Technology and Business Analysis
Series Vol. 69 , 08 January 2024
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Cooperation Strategy Between Large Agricultural Households and Farmers' Market Based on Evolutionary Game
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Abstract
With the continuous development of China's agriculture, individual farmers are increasingly integrating into the supply chain of agricultural products, leading to the emergence of "large agricultural households" in the agricultural market. These large households monopolize the local market by purchasing agricultural products from individual farmers, thereby greatly influencing the diversity of product types and brand image in the agricultural market. In this study, we utilize evolutionary game theory to construct a model that explores the cooperative evolution between large agricultural households and agricultural markets under limited rationality. We analyze the evolutionary process of the cooperative strategies between the two parties and validate the game results through Matlab simulation. The findings reveal that the decision of whether or not large agricultural households cooperate with agricultural markets is affected by various factors, such as the benefits and costs associated with cooperation, as well as the potential losses resulting from non-cooperation. As a result, agricultural markets can implement measures, such as establishing effective information sharing and communication coordination mechanisms, and reducing cooperation costs with large agricultural households, to attract and retain them.
Keywords
circulation of agricultural products, evolutionary game between the two sides, large agricultural households, brand competitiveness of farmers' market
References
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Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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- Volume Title
- Proceedings of the 2nd International Conference on Financial Technology and Business Analysis
- ISBN (Print)
- 978-1-83558-269-5
- ISBN (Online)
- 978-1-83558-270-1
- Published Date
- 08 January 2024
- Series
- Advances in Economics, Management and Political Sciences
- ISSN (Print)
- 2754-1169
- ISSN (Online)
- 2754-1177
- DOI
- 10.54254/2754-1169/69/20231117
- Copyright
- 08 January 2024
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited