The Quantitative Text Analysis of China's Elderly Care Policy Texts Based on the PMC Model

Abstract

Against the backdrop of accelerating population aging in China, the scientific optimization of elderly care policies has become a core issue in national governance. Existing studies mostly focus on qualitative interpretation of such policies, lacking systematic quantitative evaluation of their internal structure and overall quality. To fill this gap, this paper constructs an evaluation index system with 9 first level and 40 second-level variables based on the Policy Modeling Consistency (PMC) index model and conducts a quantitative empirical analysis on 15 representative national and local elderly care policies in China through binary scoring, PMC index calculation and three-dimensional surface chart visualization. The results show that the average PMC index of the sample policies is 0.6462, indicating an overall moderate level. The sample policies perform well in policy function, tools and content, while policy guarantee, time validity and administrative level are the key shortcomings. On this basis, this paper puts forward targeted optimization paths for China's elderly care policy system, providing quantitative empirical support for the improvement of elderly care service policies and a methodological reference for quantitative policy text analysis.