The Text Measurement and Optimization of China's Science and Technology Personnel Evaluation Policy Based on the Four-dimensional Analytical Angles

Journal of Measurement and Evaluation

JME, Vol. 1, No. 1, 2026, pp.74-95.

Print ISSN: 3106-0463; Online ISSN: 3106-0471

Journal homepage: https://www.jmeacta.com 

DOI：Https://doi.org/10.64058/JME.26.1.05

The Text Measurement and Optimization of China's Science and Technology Personnel Evaluation Policy Based on the Four-dimensional Analytical Angles[1]

Tan Chunhui, Liang Yuanliang, Wei Wenjing, Diao Fei, Chen Xiaoqi, Tian Gang (translator)

Abstract: The evaluation of science and technology (S&T) talent is a crucial component of overarching S&T evaluation systems. Analyzing the policy texts of S&T talent evaluation facilitates the formulation of future policies and the advancement of related initiatives. From the perspective of quantitative policy analysis, this paper constructs a four-dimensional analytical framework comprising policy instruments, elements, targets, and effectiveness. Utilizing NVivo 11 Plus software, a longitudinal and departmental analysis is conducted on 115 S&T talent evaluation policy texts issued in China from 1978 to 2020. This is followed by single-dimension and cross-dimensional analyses anchored by policy instruments. The findings reveal several deficiencies in current S&T talent evaluation policies: the internal elements of policy instruments are incomplete, requiring enhanced operability; target settings and instrument selections are partially mismatched, necessitating clearer goal orientations; and interdepartmental cooperation is relatively lacking, leading to an unbalanced structure of policy instruments. To optimize future policies, improvements can be made across three matching dimensions (element-instrument, target-instrument, and effectiveness-instrument) to refine the proportion of policy elements, correct mismatches, and strengthen interdepartmental linkages. This paper analyzes S&T talent evaluation policies from a multi-dimensional perspective and proposes targeted optimization strategies. Future research could further explore these policies from the standpoint of policy synergy.

Keywords: Science and technology (S&T) talent evaluation; S&T talent evaluation policies; Policy instruments; Policy texts; Quantitative policy analysis

Author Biographies: Tan Chunhui, Ph.D., Professor, Ph.D. Supervisor. Research directions: informetric and scientific evaluation, network user behavior. Liang Yuanliang, from Guigang, Guangxi. Doctoral student. Research direction: informetric and scientific evaluation. Wei Wenjing, Master's student. Research directions: informetric and scientific evaluation, network user behavior. Diao Fei, Doctoral student. Research directions: information resources management, network user behavior. Corresponding author. E-mail: df_ccnu@163.com. Chen Xiaoqi, Master's student. Research direction: informetric and scientific evaluation. Tian Gang (translator), Ph.D., Ph.D. Supervisor, currently at Jiangsu University. His research interests include green circular supply chain and green logistics management, digital economy and platform economy, and e-commerce of agricultural products. E-mail: jsyztg@126.com.

Received: 16 Dec 2025 / Revised: 06 Jan 2026 / Accepted: 18 Jan 2026 / Published online: 30 Apr 2026 / Print published: 30 May 2026.

This article is an English translation of the following Chinese article: Tan Chunhui, Liang Yuanliang, Wei Wenjing, Diao Fei, Chen Xiaoqi (2022). The Text Measurement and Optimization of China's Science and Technology Personnel Evaluation Policy Based on the Four-dimensional Analytical Angles, Information Science,40(03),63-71. https://doi.org/10.13833/j.issn.1007-7634.2022.03.009