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Multidimensional quantitative analysis of China’s science and technology talent policy fit Cover

Multidimensional quantitative analysis of China’s science and technology talent policy fit

By: Kaile Wang and  Yunwei Chen  
Open Access
|Oct 2025

Abstract

Purpose

Examining the alignment (or “fit”) of China’s science and technology talent policies provides valuable insights into the challenges and shortcomings in supporting talent development, thereby offering a foundation for enhanced policy design and support.

Design/methodology/approach

This study introduces a policy fit analysis framework, which decomposes policy fit into three dimensions: consistency fit, embeddedness fit, and compensatory fit. By employing quantitative research methods, the study conducts a multidimensional analysis of China’s science and technology talent policies over the period from 2014 to 2023.

Findings

The findings indicate that, after a decade of evolution, China’s policy system for science and technology talent has largely matured into a relatively stable framework, with policy fit demonstrating an upward trend over time. However, several challenges persist. For instance, the policy system places a disproportionate emphasis on talent cultivation and development, while comparatively fewer policies address the introduction, aggregation, and strategic planning of talent. Additionally, there are observable gaps between policy objectives and actual outcomes, as well as a misalignment between policy supply and the demands of talent development.

Research limitations

The framework of policy fit analysis proposed by the study can only analyze policies at the same level, but it cannot conduct cross-level analysis. In the empirical analysis, the policy texts analyzed were limited to publicly available documents.

Practical implications

The findings provide new perspectives and methodologies for policy evaluation, expanding the scope of existing policy analysis, and also offer meaningful guidance for policymakers and relevant administrative personnel.

Originality/value

This paper introduces, for the first time, a policy fit analysis framework, addressing a gap in the study of policy alignment.

DOI: https://doi.org/10.2478/jdis-2025-0052 | Journal eISSN: 2543-683X | Journal ISSN: 2096-157X
Language: English
Submitted on: May 27, 2025
Accepted on: Sep 29, 2025
Published on: Oct 14, 2025
Published by: Chinese Academy of Sciences, National Science Library
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2025 Kaile Wang, Yunwei Chen, published by Chinese Academy of Sciences, National Science Library
This work is licensed under the Creative Commons Attribution 4.0 License.

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