科研管理 ›› 2023, Vol. 44 ›› Issue (3): 95-101.

• 论文 • 上一篇    下一篇

科技人才政策影响城市创新的路径研究

程聪慧1,钟燕2   

  1. 1.湖南大学公共管理学院,湖南 长沙410082;
    2.西安交通大学计算机科学与技术学院,陕西 西安710049
  • 收稿日期:2020-08-11 修回日期:2021-01-24 出版日期:2023-03-20 发布日期:2023-03-20
  • 通讯作者: 程聪慧
  • 基金资助:
    湖南省自然科学基金青年项目:“政府引导基金政策助推新旧动能转换的动力机制、效应评估与路径选择研究”(2021JJ40126,2021—2024)。

A study of the influence paths of science and technology talent policies on urban innovation

Cheng Conghui1, Zhong Yan2   

  1. 1. School of Public Administration, Hunan University, Changsha 410082, Hunan, China;
    2. School of Computer Science and Technology, Xi′an Jiao Tong University, Xi′an 710049, Shaanxi, China
  • Received:2020-08-11 Revised:2021-01-24 Online:2023-03-20 Published:2023-03-20

摘要: 城市创新是引领城市发展的第一动力,而科技人才政策是影响城市创新的重要因素。本文将科技人才政策解构为科技人才政策可操作性、科技人才培养、科技人才流动和引进、科技人才激励、科技人才投入、科技人才管理和服务、科技人才保障、科技创新文化与环境建设、科技人才创业、科技人才评价等十个维度,通过收集27个省会城市和4个直辖市的政策文本并予以量化,采用清晰集定性比较分析方法(csQCA)研究科技人才政策对城市创新的影响路径。研究发现,科技人才政策促进城市创新的路径可分为三类:一是双创导向型,注重引导科技人才创新创业和改善人才发展社会环境;二是循环驱动型,关注科技人才本身且以促进科技成果转化反哺科技人才投入;三是规范保障型,强调规范市场秩序和保障人才生活。本文能为地方政府因地制宜地制定和实施科技人才政策,进而提升城市创新能力提供参考。

关键词: 科技人才政策, 城市创新, 影响路径, 清晰集定性比较分析

Abstract:      Innovation is the primary force to drive urban development. In the comprehensive science and technology policy system, talent policy is an important factor affecting urban innovation, as various types of talents provide intellectual support for innovation. Practically, different cities in China have issued a wide range of science and technology talent policies. Against this background, it is of great significance to study the causal paths through which these policies affect urban innovation. However, the existing literature does not provide an answer to this question. On one hand, most studies on science and technology talent policy evaluated the policy itself, few have focused on how such policies exert consequences quantitatively; on the other hand, studies on urban innovation either focused on its measurement, or considered it as a dependent variable to explore the impacts of both government policies and other conditional variables.Based on the related literature, this paper deconstructs science and technology talent policy into ten dimensions, namely, policy maneuverability, talent cultivation, talent flow, talents incentive, talent investment, talent management and service, the guarantee for talents, science and technology innovation culture and environment construction, talent entrepreneurship and talent evaluation. Through collecting and quantifying the policy documents of 27 provincial capitals and 4 municipalities and measuring the urban innovation level with urban innovation index, the crisp set qualitative comparative analysis (csQCA) method is used to analyze the paths through which science and technology talent policy affects urban innovation.It finds that the paths through which science and technology talent policy promotes urban innovation can be summarized into three types: innovation and entrepreneurship-oriented type, cycle-driven type, and regulation and guarantee type. For the first type, city governments pay attention to guide the innovation and entrepreneurship of science and technology talents, to improve the social environment, and to strengthen the construction of urban infrastructure related to the diffusion of knowledge and technology. For the second type, out of the concern for science and technology talents themselves, city governments emphasize the cultivation, motivation, and service for talents, and by promoting the transformation of science and technology achievements to back feed the resource input, to continuously enhance the level of urban innovation. For the third type, city governments emphasize to maintain order by regulating the market, and to guarantee the life of talents.In terms of policy implications, it is completely different to improve the degree of marketization from improving the market normative level. The former is to put science and technology talents into the market environment for competition. The fiercer the competition is, the more obvious the trend of fittest survival will be. However, it may violate fairness and endanger market order. The latter is to impose various restrictions on market competition with the policy tool as imposed hand. By regulating the talent market, science and technology talents in various industries and fields can make progress side by side and hence achieve the goal of urban innovation. Since there are huge gaps in technological innovation resources as well as technological development level among different regions and cities in China, local governments should choose corresponding paths to carry out innovation activities, to enhance innovation output, and to improve the level of urban innovation.This paper makes a systematic exploration on the internal mechanism through which science and technology talent policy impacts on urban innovation for the first time. It contributes to the literature in the following aspects: first, it applies the csQCA method and conducts cross case causality analysis of different cities. The urban innovation results acquired under different combinations of science and technology talent policy elements are helpful to theoretically enrich the literature on both science and technology policy and urban innovation. Second, depending on the specific situation and configuration, it finds three types of influence paths. Conclusions from this research can provide references for local governments to design suitable science and technology talent policy and hence promote urban innovation practically.

Key words: science and technology talent policy, urban innovation, influence path, crisp set qualitative comparative analysis (csQCA)