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Proceedings of the 2nd International Conference on Public Management, Digital Economy and Internet Technology, ICPDI 2023, September 1–3, 2023, Chongqing, China

Research Article

Influence of Agricultural Employee Behavior on Technical Efficiency of Farmers' Plantation -Empirical Research based on SFA Model

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  • @INPROCEEDINGS{10.4108/eai.1-9-2023.2338751,
        author={Siyi  Chen},
        title={Influence of Agricultural Employee Behavior on Technical Efficiency of Farmers' Plantation -Empirical Research based on SFA Model},
        proceedings={Proceedings of the 2nd International Conference on Public Management, Digital Economy and Internet Technology, ICPDI 2023, September 1--3, 2023, Chongqing, China},
        publisher={EAI},
        proceedings_a={ICPDI},
        year={2023},
        month={11},
        keywords={technical efficiency ; sfa; agricultural employee behavior},
        doi={10.4108/eai.1-9-2023.2338751}
    }
    
  • Siyi Chen
    Year: 2023
    Influence of Agricultural Employee Behavior on Technical Efficiency of Farmers' Plantation -Empirical Research based on SFA Model
    ICPDI
    EAI
    DOI: 10.4108/eai.1-9-2023.2338751
Siyi Chen1,*
  • 1: College of Economics and Management
*Contact email: chensy4141@163.com

Abstract

In order to explore the technical efficiency level and influencing factors of China's agricultural production, this paper measures the technical efficiency of farmers' plantation by stochastic frontier production function (SFA) based on the micro-data of CFPS in 2018, then analyzes the influence of agricultural employees' behavior on the technical efficiency of farmers' planting. It is concluded that the technical efficiency in the sample is 0.525, and the technical efficiency of farmers' households with employees is significantly higher than that of farmers' households without employees. It is hypothesized that this effect is due to both the operation scale and the awareness of the management of the households with hired labor.

Keywords
technical efficiency ; sfa; agricultural employee behavior
Published
2023-11-21
Publisher
EAI
http://dx.doi.org/10.4108/eai.1-9-2023.2338751
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