Does government policy matter in the digital transformation of farmers' cooperatives?-A tripartite evolutionary game analysis

被引:5
作者
Zheng, Yangyang [1 ]
Mei, Linfeng [1 ]
Chen, Weimin [2 ]
机构
[1] Wenzhou Univ, Business Sch, Wenzhou, Peoples R China
[2] Shanghai Univ Polit Sci & Law, Shanghai, Peoples R China
关键词
farmers' cooperatives; digital transformation; government policy; evolutionary game; simulation; TECHNOLOGIES; AGRICULTURE;
D O I
10.3389/fsufs.2024.1398319
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
Farmers' cooperatives, as one of the new types of agricultural businesses, are an effective carrier for the digital transformation of agriculture, yet existing studies have paid less attention to how farmers' cooperatives realize digital transformation. As agricultural economic organizations embedded in social networks, the digital transformation of farmers' cooperatives requires the joint efforts of governments and companies. Based on the evolutionary game theory, this paper constructs a tripartite evolutionary game model of the government, digital technology companies and farmers' cooperatives, and simulates and analyzes the behavioral decisions of different participants in the digital transformation of farmers' cooperatives from the perspective of government policy. The results show: Medium government subsidies can effectively promote the digital transformation of farmers' cooperatives, and strong subsidy policies increase the government's financial burden, which is not conducive to policy sustainability. Strong government regulation facilitates digital technology companies to actively provide high-quality services for the digital transformation of farmers' cooperatives, but government regulation does not have a significant impact on the strategic choices of the government and farmers' cooperatives. When farmer cooperatives and digital technology companies are in a medium or high level of cooperative trust or when the number of labors saved by digital transformation reaches a certain level, farmers' cooperatives opt for digital transformation even if the government withdraws from policy intervention.
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页数:17
相关论文
共 60 条
[1]  
Alalawi Z., 2020, EAI Endorsed Trans. Indus. Netw. Intell. Syst, V7, P166668, DOI DOI 10.4108/EAI.21-10-2020.166668
[2]  
Alalawi Z, 2024, Arxiv, DOI arXiv:2403.09510
[3]   Wireless communication protocols in smart agriculture: A review on applications, challenges and future trends [J].
Avsar, Ercan ;
Mowla, Md. Najmul .
AD HOC NETWORKS, 2022, 136
[4]   The Digitisation of Agriculture: a Survey of Research Activities on Smart Farming [J].
Bacco, Manlio ;
Barsocchi, Paolo ;
Ferro, Erina ;
Gotta, Alberto ;
Ruggeri, Massimiliano .
ARRAY, 2019, 3-4
[6]   Digital agriculture to design sustainable agricultural systems [J].
Basso, Bruno ;
Antle, John .
NATURE SUSTAINABILITY, 2020, 3 (04) :254-256
[7]  
Bchi G., 2018, Symphonya Emerg. Issues Manag, V2, P66, DOI [10.4468/2018.2.06buchi.cugno.castagnoli, DOI 10.4468/2018.2.06BUCHI.CUGNO.CASTAGNOLI]
[8]  
Bjornerstedt J., 1994, IUI Working Paper, DOI [10.1088/2632-072X/ad424c, DOI 10.1088/2632-072X/AD424C]
[9]   Both eyes open: Vigilant Incentives help auditors improve AI safety [J].
Bova, Paolo ;
Di Stefano, Alessandro ;
Han, The Anh .
JOURNAL OF PHYSICS-COMPLEXITY, 2024, 5 (02)
[10]   Evaluation of the Coupled and Coordinated Relationship between Agricultural Modernization and Regional Economic Development under the Rural Revitalization Strategy [J].
Chen, Kejing ;
Tian, Guiliang ;
Tian, Ze ;
Ren, Yangjun ;
Liang, Wei .
AGRONOMY-BASEL, 2022, 12 (05)