Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China

Research Article

Research On Factors Influencing the Efficiency of Agricultural Science and Technology Innovation

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  • @INPROCEEDINGS{10.4108/eai.17-6-2022.2322808,
        author={Wei-Min  Lin and Cheng-Hua  Liu and Mei  Li},
        title={Research On Factors Influencing the Efficiency of Agricultural Science and Technology Innovation},
        proceedings={Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China},
        publisher={EAI},
        proceedings_a={ICIDC},
        year={2022},
        month={10},
        keywords={agriculture; science and technology innovation efficiency; influencing factors; intuitionistic fuzzy; dematel model},
        doi={10.4108/eai.17-6-2022.2322808}
    }
    
  • Wei-Min Lin
    Cheng-Hua Liu
    Mei Li
    Year: 2022
    Research On Factors Influencing the Efficiency of Agricultural Science and Technology Innovation
    ICIDC
    EAI
    DOI: 10.4108/eai.17-6-2022.2322808
Wei-Min Lin1, Cheng-Hua Liu1,*, Mei Li2
  • 1: Chengdu University of Information Technology
  • 2: Nanning Normal University
*Contact email: 78943891@qq.com

Abstract

To explore the key factors affecting the efficiency of agricultural science and technology innovation, this paper selects 10 indicators to build a system of agricultural science and technology innovation influencing factors from the perspectives of government, enterprises and agriculture-related subjects, and uses a combination of intuitionistic fuzzy and DEMATEL methods for empirical analysis. It is found that three indicators: R&D funding investment (X6), government support (X4) and R&D personnel full-time equivalent (X3) are the fundamental factors affecting its development. Based on this, countermeasure suggestions such as strengthening the strength of science and technology funding, increasing the proportion of R&D funding, and increasing R&D personnel are proposed as a way to improve the efficiency of agricultural science and technology innovation.