中国人事科学Issue(6)：45-57,13.
基于PMC指数模型的粤港澳大湾区内地九市技能人才政策量化评价与优化研究
Study on Quantitative Evaluation and Optimization of Skilled Talent Policies of Nine Mainland Cities in the Guangdong-Hong Kong-Macao Greater Bay Area Based on PMC Index Model
摘要
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.关键词
粤港澳大湾区/技能人才政策/量化评价/政策优化Key words
Guangdong-Hong Kong-Macao Greater Bay Area/Skilled talent policies/Quantitative evaluation/Policy optimization分类
社会科学引用本文复制引用
郭欢..基于PMC指数模型的粤港澳大湾区内地九市技能人才政策量化评价与优化研究[J].中国人事科学,2024,(6):45-57,13.基金项目
本文系2022年度广东省青少年研究共建课题(2022GJ034) （2022GJ034）
2023年度佛山市社科规划项目(2023-GJ075)的研究成果. （2023-GJ075）
