Abstract: Policy evaluation is of great significance to the formulation, implementation, and optimization of skilled talent policies. This study takes the skilled talent policies of nine cities in the Guangdong-Hong Kong-Macao Greater Bay Area as the research object, and evaluates them using a combination of PMC index model and text mining method. As found by this study, the overall design of the skilled talent policies in these regions is relatively reasonable and has certain advantages, but there are also problems, such as unclear policy goal planning, unclear content, unclear regional characteristics, insufficient regulation, and imperfect incentive and constraint mechanisms. In the future, when formulating or revising relevant policies, it is necessary to plan goals reasonably, enhance the regulation of policies, enhance the scientificity of policy content, and improve incentive and constraint mechanisms. This will help to further optimize and improve the skilled talent policies of the nine mainland cities in the Guangdong-Hong Kong-Macao Greater Bay Area, and improve the implementation and effectiveness of policies.

Key words: Guangdong-Hong Kong-Macao Greater Bay Area, Skilled talent policies, Quantitative evaluation, Policy optimization

摘要： 政策评价对于技能人才政策的制定、实施和优化具有重要意义。文章以粤港澳大湾区内地九市的技能人才政策为研究对象,采用PMC指数模型与文本挖掘相结合的方法进行评价。研究发现,该区域的技能人才政策总体设计较为合理,具有一定优势,但也存在政策目标规划不清晰、内容不具体、地域特色不鲜明、监管性不足和激励约束机制不完善等问题。未来在制定或修订相关政策时,需要合理规划目标,增强政策的监管性,提升政策内容的科学性,完善激励约束机制。这将有助于进一步优化和完善粤港澳大湾区内地九市的技能人才政策,提高政策的执行效果和实施效果。

关键词: 粤港澳大湾区, 技能人才政策, 量化评价, 政策优化