基于熵权—TOPSIS法的新型农业经营主体韧性评价以山东省为例

Resilience Evaluation of New Agricultural Management Entities Based on Entropy Weight-TOPSIS MethodA Case Study of Shandong Province

  • 摘要:
    目的/意义 旨在提升山东省新型农业经营主体应对气候变化、市场波动及资源约束等挑战的韧性,并为其他地区新型农业经营主体韧性评价实践提供方法借鉴。
    方法/过程 结合组织韧性和农业韧性的理论框架,构建涵盖稳定性、适应性和发展性的多维新型农业经营主体韧性评价体系;运用熵权法确定各指标权重后,再利用TOPSIS模型对其进行综合评价,以山东省2019—2023年的新型农业经营主体数据为案例,分析其韧性演进特征与关键影响因素,并提出相应的政策建议。
    结果/结论 研究表明,农业生产稳定性强化、组织结构适应性优化及技术发展持续性投入是驱动韧性增强的核心路径,社会化服务水平、农业保险覆盖程度及科技研发投入对韧性具有显著促进作用。

     

    Abstract:
    Objective/Meaning The purpose of this study is to enhance the resilience of new agricultural management entities in Shandong Province to cope with the challenges of climate change, market fluctuations and resource constraints, and provide methodological reference for the practice of resilience evaluation of new agricultural management entities in other regions.
    Methods/Procedures By combining the theoretical framework of organizational resilience and agricultural resilience, a multi-dimensional resilience evaluation system for new agricultural management entities was constructed, covering stability, adaptability and development. The entropy weight method was used to determine the weights of each index and then the TOPSIS model was used to carry out a comprehensive evaluation. By taking the data of new agricultural management entities in Shandong Province from 2019 to 2023 as an example, the characteristics of their resilience evolution and the key influencing factors were analyzed. Last, the corresponding policy recommendations were put forward.
    Results/Conclusions The study showed that strengthening the stability of agricultural production, optimizing the adaptability of organizational structure and continuous investment in technological development were the core paths to enhance resilience, while the level of social service, the degree of agricultural insurance coverage and the investment in scientific and technological research and development had a significant role in promoting resilience.

     

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