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LIANG Yu, GAO Peng-huai. Resilience Evaluation of New Agricultural Management Entities Based on Entropy Weight-TOPSIS Method-A Case Study of Shandong Province[J]. TAIWAN AGRICULTURAL RESEARCH.
Citation: LIANG Yu, GAO Peng-huai. Resilience Evaluation of New Agricultural Management Entities Based on Entropy Weight-TOPSIS Method-A Case Study of Shandong Province[J]. TAIWAN AGRICULTURAL RESEARCH.

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

  • 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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