基于PMC指数模型的山东省乡村振兴政策文本量化评价
Quantitative Evaluation of Rural Revitalization Policy Texts in Shandong Province Based on the PMC Index Model

山东省是我国的农业大省，农业产量产值一直稳居我国发展前列，习近平总书记重要指示指出，要全面推进山东省乡村振兴工作，打造乡村振兴齐鲁样本，因此亟待对政策实施过程中的问题进行评价。通过文本挖掘法对山东省乡村振兴政策文本内容进行文本分析，构建了包含9个一级指标，44个二级指标的乡村振兴政策评价指标体系，选取5项代表性政策构建PMC指数模型，测算其PMC指数，并绘制PMC曲面图进行可视化。结果表明：其中3项政策评价等级为良好，2项为可接受。研究表明山东省乡村振兴政策在政策性质上要注重阶段性，长期性政策与中短期政策相结合。在后期加大监管保障力度并且重视政策连续性，提高政策可操作性，针对政策措施的基础性变量展开细化完善，实现农业全面升级、农村全面进步、农民全面发展，坚决完成好打造乡村振兴齐鲁样板的重大政治任务。
Shandong Province is a major agricultural province in China, with agricultural production and output consistently ranking among the top in the country. General Secretary Xi Jinping’s important instructions emphasize the need to comprehensively promote rural revitalization in Shandong and create a model for rural revitalization in Qilu. Thus, there is an urgent need to evaluate the issues in the policy implementation process. By using text mining methods to analyze the content of rural revitalization policies in Shandong Province, a policy evaluation index system consisting of 9 primary indicators and 44 secondary indicators was established. Five representative policies were selected to construct the PMC index model, and their PMC indices were calculated, followed by the creation of a PMC surface map for visualization. The results show that three policies received a “Good” rating, while two were rated as “Acceptable.” The study suggests that Shandong’s rural revitalization policies should emphasize both long-term and short-term phases, combine long-term policies with medium- and short-term policies, enhance regulatory safeguards, focus on policy continuity, improve policy operability, and refine basic variables of policy measures. The ultimate goal is to achieve comprehensive agricultural upgrading, rural progress, and farmer development, thereby successfully completing the major political task of creating a Qilu model for rural revitalization.