科技经济期刊质量评价方法研究

IF 0.5 Q4 ECONOMICS
E. Balatsky, N. Ekimova, Olga V. Tretyackova
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引用次数: 4

摘要

本文对俄罗斯和其他国家(美国、欧盟国家和中国)的学术经济学期刊目前的评估、排名和评级方法进行了回顾。为了做到这一点,作者介绍了一种常见的分析方法类型,包括文献计量学、同行评审、网络(不变)、混合和综合算法,用于评估期刊的质量。文章表明,期刊分类可以采用定量和定性两种方法进行。作者探讨了所谓的制度过滤器的使用,即通过评估学术经济学期刊的专门工具来规范学术领域的规则。研究结果表明,21世纪初建立的将国际数据库的形式指标应用于科学政策的趋势隐藏着许多威胁。其中包括一些保持高学术水平的俄罗斯学术经济学期刊的地位损失,这些期刊没有被国际数据库覆盖,以及操纵实践和设定明显不切实际的目标的各种后果。作者概述了有效使用正规学术经济学期刊指标作为制度过滤器的条件。本文证明,现有的期刊质量评价分析方法能够对俄罗斯经济学家的研究需求进行合理、公正的排序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation Methods of Scientific Economic Journals Quality
The paper presents a review regarding the current methods of evaluating, ranking, and rating academic economics journals in Russia and other states – the USA, the EU countries and China. In order to do this, the authors introduce a common typology of analytical methods which includes bibliometric, peer review, network (invariant), hybrid, and consolidated algorithms for evaluating the quality of journals. The article shows that the differentiation of periodicals can be performed using quantitative and qualitative approaches. The authors explore the usage of so-called institutional filters, which are the rules for regulating the academic sphere via specialized tools for assessing the academic economics journals. The findings reveal that the trend established in the beginning of the 21st century concerning the application of international databases’ formal metrics in science policy hides a lot of threats. Among them status losses by some Russian academic economics journals maintaining high academic standards, which are not covered by international databases, as well as various consequences of manipulating practices and setting of obviously unrealistic targets can be named. The authors outline the conditions for the efficient usage of formal academic economics journals metrics as institutional filters. The paper proves that current analytical methods for evaluating the periodicals quality allow to carry out their reasonable and unbiased ranking for research needs of Russian economists.
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来源期刊
自引率
33.30%
发文量
24
审稿时长
8 weeks
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