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
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.
Guangdong-Hong Kong-Macao Greater Bay AreaSkilled talent policiesQuantitative evaluationPolicy optimization
国家科技期刊平台
NSTL
万方数据
