中国人事科学2024,Issue(2) :36-44.

基于PMC指数模型的城市人才引进政策文本量化评价分析

Quantitative Evaluation and Analysis of Urban Talent Introduction Policy Text Based on PMC Index Model

程阳 周玉容
中国人事科学2024,Issue(2) :36-44.

基于PMC指数模型的城市人才引进政策文本量化评价分析

Quantitative Evaluation and Analysis of Urban Talent Introduction Policy Text Based on PMC Index Model

程阳 1周玉容1
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作者信息

  • 1. 武汉理工大学法学与人文社会学院
  • 折叠

摘要

人才引进政策是城市产业转型、经济增长的行动指南,对相关政策文本的评价分析可以为人才政策制定、调整和完善提供参考.文章选取武汉、济南等典型城市近20年颁布的50项人才引进政策文本,构建"政策结构—政策工具—政策效力"三维评价框架,运用内容分析法、文本挖掘法和PMC指数模型进行量化评价.研究发现,城市人才引进政策主体合作网络核心聚集、边缘分散,政策类型分布不均;政策工具呈现重供给型、环境型,轻需求型的特征,内部结构失调;政策文本各维度上的局限性限制了政策效力的有效发挥.因此,为进一步提升城市人才引进能力,应加强政策主体间的协同合作和需求型政策工具的运用,全方位提升政策效力.

Abstract

Talent introduction policies are an action guide for urban industrial transformation and economic growth.The evaluation and analysis of relevant policy texts can provide reference for the formulation,adjustment,and improvement of talent policies.This paper selects 50 talent introduction policy texts issued by typical cities such as Wuhan and Jinan in the past two decades,constructs a"Policy Structure-Policy Tool-Policy Effectiveness"3D evaluation framework,and uses content analysis,text mining,and PMC index model for quantitative evaluation.The research has found that the cooperation network of urban talent introduction policy entities exhibit characteristics of core aggregation,edge scattering,and uneven distribution of policy types;policy tools exhibit characteristics of more emphasis on supply and environmental types than on demand type,and imbalanced internal structure;the limitations in various dimensions of policy texts limit the effective implementation of policy effectiveness.Therefore,in order to further enhance the ability of urban talent introduction,it is necessary to strengthen the coordination and cooperation among policy entities,enhance the use of demand type policy tools,and comprehensively enhance policy effectiveness.

关键词

PMC指数模型/人才引进政策/量化评价

Key words

PMC index model/Talent introduction policies/Quantitative evaluation

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出版年

2024
中国人事科学

中国人事科学

ISSN:
参考文献量17
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