基于PMC指数模型的我国乡村旅游政策量化评价

以我国乡村旅游相关政策为研究对象，通过关键词提取、文本挖掘、内容分析等方法，并参照已有学者相关研究，制定乡村旅游政策评价遴选指标，利用PMC指数模型对其中6项政策进行量化评价，以期为后续政策的出台提供一定启发，进一步完善乡村旅游的政策保障体系。结果表明，近年来国家层面的乡村旅游政策具有预测、建议、反馈性质不足，影响时效不长，对政治、科技领域涉及较少，激励方式普遍缺乏的特点。藉此提出相应建议。

Quantitative Evaluation of Rural Tourism Policy in China Based on PMC Index Model

Taking the relevant policies of rural tourism in China as the research object, the methods of keyword extraction, text mining and content analysis were used to formulate the evaluation and selection indicators of rural tourism policies by referring to the existing relevant research, and the PMC index model was used to quantitatively evaluate six of these policies, to provide some inspiration for the introduction of follow-up policies and further improve the policy guarantee system of rural tourism. The results showed that the rural tourism policies at the national level in recent years had the characteristics of insufficient prediction, suggestion and feedback, short impact, less involvement in the political and scientific fields, and generally lack of incentives. Accordingly, corresponding suggestions were put forward.