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Proceedings of the 2nd International Conference on Engineering Management and Information Science, EMIS 2023, February 24-26, 2023, Chengdu, China

Research Article

Influencing Factors of Famers' Willingness to Transfer Land in Urban Suburbs --A Case of Guangzhou Survey in China

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  • @INPROCEEDINGS{10.4108/eai.24-2-2023.2330606,
        author={Yijie  Zhu},
        title={Influencing Factors of Famers' Willingness to Transfer Land in Urban Suburbs --A Case of Guangzhou Survey in China},
        proceedings={Proceedings of the 2nd International Conference on Engineering Management and Information Science, EMIS 2023, February 24-26, 2023, Chengdu, China},
        publisher={EAI},
        proceedings_a={EMIS},
        year={2023},
        month={6},
        keywords={land transfer; logistic regression; system clustering; influencing factor; land management},
        doi={10.4108/eai.24-2-2023.2330606}
    }
    
  • Yijie Zhu
    Year: 2023
    Influencing Factors of Famers' Willingness to Transfer Land in Urban Suburbs --A Case of Guangzhou Survey in China
    EMIS
    EAI
    DOI: 10.4108/eai.24-2-2023.2330606
Yijie Zhu1,*
  • 1: South China Agricultural University
*Contact email: 1439455985@qq.com

Abstract

The results show that : (1) Farmers' willingness to transfer land is high in the survey area, and farmers' willingness to transfer land is mainly influenced by factors such as arable land conditions, political situation, transportation, risk type, and social relationship, and is most significantly influenced by arable land conditions. (2) Farmers' willingness to land transfer-in is higher than their willingness to land transfer-out, and there are differences in the factors influencing farmers' willingness to land transfer-in and to land transfer-out, as the willingness to land transfer-in is not influenced by factors related to farmers' income, but the willingness to land transfer-out is influenced by factors such as income sources and the number of acres of cultivated land. (3) Farmers with no willingness to land transfer-in exceed 70% and farmers with no willingness to land transfer-out exceed 50%, and targeted measures could be implemented to change their attitudes according to their characteristics.

Keywords
land transfer; logistic regression; system clustering; influencing factor; land management
Published
2023-06-15
Publisher
EAI
http://dx.doi.org/10.4108/eai.24-2-2023.2330606
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