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基于综合指标评价法的安徽省现代农业发展水平及对策研究

Study on the Development Level and Strategies for Modern Agriculture in Anhui Province Based on Comprehensive Index Evaluation Method
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摘要 评价现代农业发展水平有助于掌握农业农村现代化和乡村振兴进程及不足之处。运用文献梳理和专家调查法构建安徽省现代农业综合评价指标体系,利用熵权TOPSIS法和障碍度模型从生产水平、结构水平、农业农村社会发展水平、可持续发展水平四个维度探究现代农业发展水平及主要障碍因素。结果表明,安徽省现代农业发展水平稳步上升,当前处于良好发展阶段,农业农村产业结构对现代农业发展具有较大阻碍作用。对此应在保障农业生产的基础上调整优化产业结构,支持农产品加工业规模化、标准化发展,持续推进一二三产业融合,不断完善农业农村协调发展机制,进而促进农业农村现代化进程,助力乡村振兴。 Evaluating the development level of modern agriculture is crucial for understanding the progress and shortcomings in agricultural and rural modernization and rural revitalization.This paper constructs a comprehensive evaluation index system for modern agriculture in Anhui Province through literature review and expert survey.Using the entropy weight TOPSIS method and obstacle degree model,the study examines the development level and primary obstacles of modern agriculture from four dimensions:production level,structural level,agricultural and rural social development level,and sustainable development level.The results indicate that the development level of modern agriculture in Anhui Province has been steadily rising and is currently in a favorable stage of development.However,the agricultural and rural industrial structure significantly hinders modern agricultural development.Therefore,it is essential to adjust and optimize the industrial structure while ensuring agricultural production,support the scaling and standardization of the agricultural product processing industry,continuously promote the integration of primary,secondary,and tertiary industries,and improve the coordinated development mechanism of agriculture and rural areas.These measures will further advance agricultural and rural modernization and contribute to rural revitalization.
作者 朱海洋 ZHU Hai-yang(School of Management,Anhui Science and Technology University,Bengbu Anhui 233100)
出处 《巢湖学院学报》 2024年第3期66-73,94,共9页 Journal of Chaohu University
关键词 现代农业 农业发展水平 专家调查法 熵权TOPSIS 障碍度 modern agriculture agricultural development level expert survey method entropy weight TOPSIS obstacle degree
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