新时期学术期刊高质量发展的统计评价研究——以2013-2022年CSSCI统计学期刊为例

Research on Statistical Evaluation of High-Quality Development of Academic Journals in the New Era: A Case Study of CSSCI Statistics Journals from 2013 to 2022

摘要:

推进新时期学术期刊的高质量发展，是提升学界研究质量和成果水平的关键策略之一。以构建新时期学术期刊高质量发展评价指标体系为目标，聚焦统计学领域期刊的发展质量评价问题。在系统阐释学术期刊高质量发展的时代价值与社会功能基础上，创新性地构建包含期刊规模、影响力、综合效能的多维评价指标体系，并基于2013－2022年CSSCI来源统计学期刊的实证数据，运用熵值法构建综合评价模型。研究发现：（1）统计学期刊呈现显著的非均衡发展态势，规模扩张与质量提升存在非同步性特征；（2）质量评价体系呈现“质量优先、规模适度”的显著特征，揭示中国统计学期刊亟待转型的内涵式发展路径。在此基础上，提出认为新时期学术期刊高质量发展的评价应当坚持定性与定量方法相统一、健全和完善学术期刊高质量测度体系和强化学术期刊高质量发展意识等对策建议，以期为我国统计学学术期刊高质量发展提供参考。

Abstract:

Promoting the high-quality development of academic journals in the new era constitutes a crucial strategy for enhancing research quality and academic achievement levels. Aiming to establish a comprehensive evaluation index system for high-quality development of academic journals in the new era, this study focuses on quality assessment of statistical journals. Building upon systematic analysis of the contemporary value and social functions of high-quality journal development, this paper innovatively constructs a multidimensional evaluation framework encompassing journal scale, influence, and comprehensive efficacy. Utilizing empirical data from CSSCI-indexed statistical journals from 2013 to 2022, an integrated evaluation model is developed through entropy method. Key findings reveal: (1) Statistical journals demonstrate significant uneven development trends, characterized by asynchronous progression between scale expansion and quality enhancement; (2) The quality evaluation system exhibits "quality prioritization with moderate scale" features, highlighting the urgent need for connotative development transformation in China's statistical journals. Accordingly, this paper proposes strategic recommendations including integrating qualitative and quantitative methodologies, optimizing academic journal quality measurement systems, and strengthening quality development awareness, thereby providing reference for advancing high-quality development of statistical academic journals in China.