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作 者:彭川宇[1] 刘月 Peng Chuanyu;Liu Yue(School of Public Administration,Southwest Jiaotong University,Chengdu 610031,China)
机构地区:[1]西南交通大学公共管理学院,四川成都610031
出 处:《科技进步与对策》2022年第24期81-90,共10页Science & Technology Progress and Policy
基 金:国家社会科学基金一般项目(20BZZ079)。
摘 要:科技创新人才是城市提升创新能力的核心资源,是科技进步的关键要素。科技创新人才政策作为城市争夺人才的工具,被各个城市广泛采纳和使用。以161个城市为研究对象,运用事件史分析方法,探寻城市科技创新人才政策扩散的动力因素并进行时空差异分析。研究发现,城市科技创新人才政策扩散具有双重动力因素:在需求拉动因素中,经济发展水平和财政收入是影响城市科技创新人才政策扩散的主要因素;在压力推动因素中,行政指令、府际竞争和社会舆论显著影响城市科技创新人才政策扩散;在政策扩散平稳增长期,双重动力因素共同作用于政策扩散过程,而在政策扩散加速和减速增长期,城市科技创新人才政策扩散动力因素存在差异;在东、中部地区,压力推动因素占据主导,而在西部地区,双重动力因素都发挥重要作用。Talents play a vital role in scientific and technological innovation. The competition for technological innovation talents among cities has become increasingly fierce, and various cities have introduced policies to attract technological innovation talents. With the continuous policy implementation of scientific and technological innovation talents in various regions and departments, it also realizes the diffusion of policies.As a frontier field of current international public management and public policy research, policy diffusion focuses on factors that drive cities at different levels and regions to adopt a certain policy or project one after another. Most of the existing studies have carried out policy description and characteristic analysis, text content analysis, and evaluation system construction of the science and technology innovation talent policy from a static perspective. However, few scholars have studied the science and technology innovation talent policy from the perspective of policy diffusion. It is beneficial?to study the motivation factors of the science and technology innovation talent policy diffusion and their temporal and spatial differences for it can not only expand the research perspective, contribute to the analysis of the diffusion of public policies for scientific and technological innovation talents in the Chinese scenario, but also help optimize urban science and technology talent policy.This paper takes the cities at the fourth-tier and above prefecture-level in China as the research object, and the investigation period is from 2012 to 2020. Samples from 161 cities are obtained after screening. On the basis of the Berry couple’s internal decision model and regional diffusion model, this paper constructs a "demand-pull-pressure-push" model of technological innovation talent policy diffusion. Demand-pull factors originate from the internal environment of public policies and are closely related to the internal economic conditions of cities. This paper selects four variables of urban
关 键 词:人才 科技创新人才政策 政策扩散 动力因素 时空差异分析
分 类 号:C969[经济管理—人力资源管理] G3[文化科学]
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