%0 Journal Article
%T 贵州省婴幼儿托育服务政策的量化分析与优化研究——基于PMC指数模型
Quantitative Analysis and Optimisation Research on Infant and Toddler Childcare Service Policies in Guizhou Province—Based on PMC Index Model
%A 张依萍
%A 黄晋驰
%J Advances in Social Sciences
%P 767-777
%@ 2169-2564
%D 2025
%I Hans Publishing
%R 10.12677/ass.2025.145453
%X 在“三孩政策”背景下，贵州省地方政府出台一系列政策发展婴幼儿托育服务。本研究利用文本分析法对贵州省出台的婴幼儿托育服务政策进行文本挖掘，构建贵州省婴幼儿托育服务政策PMC指数评价模型，并对筛选出的9项政策进行量化分析。研究发现：政策质量总体较好，优秀级1项，良好级8项；然而各项政策普遍存在政策性质不够全面，发布机构较为单一，政策内容有待完善的问题，且良好政策在发布机构、政策内容维度分化明显。为进一步优化政策，建议：建立跨部门协同机制；加强运用互联网、大数据技术深化托育产品研究；加大对需求型政策工具的使用；完善激励多元方式。
Under the background of the “three-child policy”, local governments in Guizhou Province have introduced a series of policies to develop infant and childcare services. In this study, we used text analysis to mine the policies on infant and toddler care services in Guizhou Province, constructed the PMC index evaluation model of infant and toddler care service policies in Guizhou Province, and quantitatively analysed the nine policies screened out. The study found that: the overall quality of the policies is good, with one excellent grade and eight good grades; however, the policies generally have the problems that the nature of the policies is not comprehensive enough, the issuing organisations are relatively single, the policy contents need to be perfected, and the good policies are obviously differentiated in the dimensions of the issuing organisations and the policy contents. In order to further optimise policies, it is recommended that: a cross-sectoral coordination mechanism be established; the use of the Internet and big data technology be strengthened to deepen research on childcare products; the use of demand-based policy tools be increased; and incentives for multiple approaches be improved.
%K 婴幼儿托育服务，
%K 政策评价，
%K PMC指数模型
Infant and Childcare Services
%K Policy Evaluation
%K PMC Index Model
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=116015