乡村振兴战略是党中央的重要战略部署,对中央层面乡村振兴政策进行分析,为后续政策的优化和调整提供参考和借鉴思路。以2018年1月至2025年1月中央政府及国务院部门与乡村振兴有关的政策为基础,利用ROSTCM6进行关键词的计量和社会语义网...乡村振兴战略是党中央的重要战略部署,对中央层面乡村振兴政策进行分析,为后续政策的优化和调整提供参考和借鉴思路。以2018年1月至2025年1月中央政府及国务院部门与乡村振兴有关的政策为基础,利用ROSTCM6进行关键词的计量和社会语义网络的显现及共现矩阵词表的制作,并进行曲面图的绘制,基于PMC指数模型对所选取的政策进行量化评价,分析我国中央层面乡村振兴政策设计和制定的情况。研究发现,政策在内容上较为充实,结构上较为合理,质量较高,但在政策目标、衡量指标和责任主体等方面还存在一定的问题,对此,建议合理规划目标、提高政策工具的配套使用、落实多方主体责任和健全沟通机制。The rural revitalization strategy is an important strategic deployment of the CPC Central Committee, which analyzes the rural revitalization policy at the central level and provides reference ideas for the optimization and adjustment of subsequent policies. Based on the policies related to rural revitalization issued by the central government and the State Council departments from January 2018 to January 2025, this study employed ROSTCM6 to conduct keyword quantification, generate social semantic networks, and create co-occurrence matrix tables. It also involved the creation of surface charts. Using the PMC index model, the selected policies were quantitatively evaluated to analyze the design and formulation of rural revitalization policies at the central level in China. The study found that the policies are generally content-rich, structurally sound, and of high quality. However, there are still some issues in terms of policy objectives, evaluation indicators, and responsible entities. To address these issues, it is recommended to set reasonable goals, enhance the coordinated use of policy tools, implement responsibilities among multiple stakeholders, and improve communication mechanisms.展开更多
文摘乡村振兴战略是党中央的重要战略部署,对中央层面乡村振兴政策进行分析,为后续政策的优化和调整提供参考和借鉴思路。以2018年1月至2025年1月中央政府及国务院部门与乡村振兴有关的政策为基础,利用ROSTCM6进行关键词的计量和社会语义网络的显现及共现矩阵词表的制作,并进行曲面图的绘制,基于PMC指数模型对所选取的政策进行量化评价,分析我国中央层面乡村振兴政策设计和制定的情况。研究发现,政策在内容上较为充实,结构上较为合理,质量较高,但在政策目标、衡量指标和责任主体等方面还存在一定的问题,对此,建议合理规划目标、提高政策工具的配套使用、落实多方主体责任和健全沟通机制。The rural revitalization strategy is an important strategic deployment of the CPC Central Committee, which analyzes the rural revitalization policy at the central level and provides reference ideas for the optimization and adjustment of subsequent policies. Based on the policies related to rural revitalization issued by the central government and the State Council departments from January 2018 to January 2025, this study employed ROSTCM6 to conduct keyword quantification, generate social semantic networks, and create co-occurrence matrix tables. It also involved the creation of surface charts. Using the PMC index model, the selected policies were quantitatively evaluated to analyze the design and formulation of rural revitalization policies at the central level in China. The study found that the policies are generally content-rich, structurally sound, and of high quality. However, there are still some issues in terms of policy objectives, evaluation indicators, and responsible entities. To address these issues, it is recommended to set reasonable goals, enhance the coordinated use of policy tools, implement responsibilities among multiple stakeholders, and improve communication mechanisms.
