Research on the Comprehensive Evaluation System of High-Quality Agricultural Development from the Perspective of Entropy Weight Method and Aging Dynamics

Jiale Cao () and Yunxia Wang ()
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Jiale Cao: Nanjing Institute of Technology
Yunxia Wang: Nanjing Institute of Technology

A chapter in Proceedings of the 2025 4th International Conference on Public Service, Economic Management and Sustainable Development (PESD 2025), 2025, pp 670-679 from Springer

Abstract: Abstract Against rural aging, this paper tackles the lack of dynamic adaptability in existing high-quality agricultural development evaluation systems. Using the entropy weight method, it analyzes 21 indicators across 31 Chinese provinces from 2011-2023 to get initial weights and comprehensive scores. Based on core agricultural mechanization indices, an aging rate threshold segmented function is introduced to dynamically adjust weights, forming an evaluation system integrating the entropy weight method and aging dynamics. Benchmark tests on Jiangsu, Tibet, and Liaoning show the system better captures core variables’ dynamic impacts, resolves the entropy method’s failure to reflect indicator heterogeneity, and enhances objectivity and scenario adaptability, providing a quantitative tool for regional agricultural mechanization policies.

Keywords: Entropy weight method; aging; multi-dimensional objective weighting; evaluation system for high-quality agricultural development (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-916-2_73

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DOI: 10.2991/978-94-6463-916-2_73

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