Proceedings of the 2nd International Conference on Mathematical Statistics and Economic Analysis, MSEA 2023, May 26–28, 2023, Nanjing, China

Research Article

Promotion Path of National Agricultural Science and Technology Park Innovation Efficiency: Configura-tion Analysis Based on QCA

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  • @INPROCEEDINGS{10.4108/eai.26-5-2023.2334382,
        author={Yan  Wang and JiaYi  Zou and Xiao  Hu and HongJin  Wu},
        title={Promotion Path of National Agricultural Science and Technology Park Innovation Efficiency: Configura-tion Analysis Based on QCA},
        proceedings={Proceedings of the 2nd International Conference on Mathematical Statistics and Economic Analysis, MSEA 2023, May 26--28, 2023, Nanjing, China},
        publisher={EAI},
        proceedings_a={MSEA},
        year={2023},
        month={7},
        keywords={national agricultural science and technology park; innovation efficiency; fs qca; innovation ecosystem;},
        doi={10.4108/eai.26-5-2023.2334382}
    }
    
  • Yan Wang
    JiaYi Zou
    Xiao Hu
    HongJin Wu
    Year: 2023
    Promotion Path of National Agricultural Science and Technology Park Innovation Efficiency: Configura-tion Analysis Based on QCA
    MSEA
    EAI
    DOI: 10.4108/eai.26-5-2023.2334382
Yan Wang1, JiaYi Zou1, Xiao Hu1, HongJin Wu1,*
  • 1: Sichuan Agricultural University
*Contact email: 929509372@qq.com

Abstract

Taking 30 national agricultural science and technology parks as research samples, this paper uses fuzzy set qualitative comparative analysis method, and selects five repre-sentative variables from three dimensions of resources, subject and environment to explore the conditional configuration and paths that affect the improvement of inno-vation efficiency of agricultural science and technology parks. The results show that (1) The innovation efficiency of the park has multiple concurrent relations, and any single dimension and condition cannot achieve high innovation efficiency. (2) Re-source-driven, comprehensive and alternative configuration is a realistic reflection of the park's choice of its own innovative development mode and path. (3) The conditions affecting the innovation efficiency of the park are asymmetrical, and there are three reasons leading to non-high innovation efficiency: low investment in research and development, non-comprehensive development and insufficient service support for innovation and entrepreneurship.