中国高校人文社会科学研究效率评价与地区差异分析

IF 3.1 3区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Lifeng Wang, Tan Wang
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引用次数: 0

摘要

人文社会科学(HSS)在深化人类认识和改造世界方面发挥着关键作用,为自然科学的发展提供了重要的价值导向。评估高等院校人文社科的效率对于优化科研资源配置、提高科研效率至关重要。本研究利用2017-2020年中国31个省(市、区)(不含港澳台地区)高校人文社科统计数据,采用数据包络分析(DEA)和Malmquist模型对静态和动态科研效率进行评估。此外,研究还采用了 Theil 指数来考察地区差异。研究结果表明(1) 高校人文社科的静态效率相对较高,Malmquist 指数显示出主要由效率变化(EC)驱动的总体改善趋势;(2) 中国中部地区高校的静态效率高于西部地区高校,但它们缺乏促进科研效率的内在驱动力;(3) 通过 Theil 指数对静态和动态效率的分析表明,地区差异正在扩大,组内差异是总体差异的主要来源。上述结果表明,各地区应采取不同的对策来提高科研效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Research efficiency evaluation and regional differences analysis of humanities and social sciences of colleges and universities in China

Research efficiency evaluation and regional differences analysis of humanities and social sciences of colleges and universities in China

Humanities and Social Sciences (HSS) play a key role for deepening human understanding and transforming the world, providing essential value orientation for the advancement of natural sciences. Evaluating the efficiency of HSS in higher education institutions is crucial for optimizing the distribution of research resources and improving scientific research efficiency. By utilizing statistical data from HSS in colleges and universities across 31 provinces (municipalities, regions) of China (excluding Hong Kong, Macao, and Taiwan) from 2017 to 2020, this study employs the Data Envelopment Analysis (DEA) and Malmquist models to assess both the static and dynamic scientific research efficiencies. Additionally, the Theil index is used to examine regional differences. The findings reveal that: (1) HSS in colleges and universities exhibit relatively high static efficiency, with the Malmquist index indicating a general trend of improvement primarily driven by efficiency change (EC); (2) colleges and universities in China’s central region display higher static efficiency than those in the western region, yet they lack the internal driving forces for fostering research efficiency; (3) an analysis of static and dynamic efficiencies via the Theil index shows widening regional differences, with within-group differences being the main source of overall differences. The above results imply that each region should adopt different countermeasures to improve scientific research efficiency.

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来源期刊
Soft Computing
Soft Computing 工程技术-计算机:跨学科应用
CiteScore
8.10
自引率
9.80%
发文量
927
审稿时长
7.3 months
期刊介绍: Soft Computing is dedicated to system solutions based on soft computing techniques. It provides rapid dissemination of important results in soft computing technologies, a fusion of research in evolutionary algorithms and genetic programming, neural science and neural net systems, fuzzy set theory and fuzzy systems, and chaos theory and chaotic systems. Soft Computing encourages the integration of soft computing techniques and tools into both everyday and advanced applications. By linking the ideas and techniques of soft computing with other disciplines, the journal serves as a unifying platform that fosters comparisons, extensions, and new applications. As a result, the journal is an international forum for all scientists and engineers engaged in research and development in this fast growing field.
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