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Proceedings of the 4th International Conference on Public Management and Intelligent Society, PMIS 2024, 15–17 March 2024, Changsha, China

Research Article

The Impact of Nearby Employment on the Well-being of Rural Residents

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  • @INPROCEEDINGS{10.4108/eai.15-3-2024.2346386,
        author={Jie  Gao},
        title={The Impact of Nearby Employment on the Well-being of Rural Residents},
        proceedings={Proceedings of the 4th International Conference on Public Management and Intelligent Society, PMIS 2024, 15--17 March 2024, Changsha, China},
        publisher={EAI},
        proceedings_a={PMIS},
        year={2024},
        month={6},
        keywords={nearby employment; ordered logistic model; rural residents' happiness},
        doi={10.4108/eai.15-3-2024.2346386}
    }
    
  • Jie Gao
    Year: 2024
    The Impact of Nearby Employment on the Well-being of Rural Residents
    PMIS
    EAI
    DOI: 10.4108/eai.15-3-2024.2346386
Jie Gao1,*
  • 1: Shandong Normal University
*Contact email: 2786695273@qq.com

Abstract

At the present stage, with the change of the international situation and the domestic economic situation, the direction of China's rural labor force flow is changing, and the phenomenon of labor force employment in the county area is gradually increasing. A Ordered Logistic measurement model was constructed to empirically analyze the effect of rural residents' nearby employment on happiness. It is found that in general, the nearby employment of rural labor force can improve the happiness of rural residents, but the nearby employment in economically underdeveloped county areas reduces the happiness of rural residents; secondly, the nearby employment of women can significantly enhance the happiness of women in different economic development conditions. Based on the empirical analysis results, the corresponding policy suggestions are put forward to promote rural development and improve the happiness of rural residents.

Keywords
nearby employment; ordered logistic model; rural residents' happiness
Published
2024-06-07
Publisher
EAI
http://dx.doi.org/10.4108/eai.15-3-2024.2346386
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