国际学术期刊编委数量与科研产出评价指标的相关性研究——以经济学学科世界984所大学为例

国际学术期刊编委在国际学术评价体系中扮演着重要角色,通过分析大学拥有的编委数量与传统科研产出指标的相关性,有助于完善中国现阶段的学术评价体系.文章以296本SSCI经济学期刊中拥有编委的984所大学作为样本,通过普通最小二乘回归以及分位数回归等方法对这些大学的编委数量与传统科研产出指标进行了相关性的实证检验.结果表明:编委数量与论文数量、总被引频次、篇均被引、h指数均有着显著的正向相关关系;分位数回归结果进一步表明当一所大学的论文数、总被引、h指数指标位于越高(低)分位点时,编委数量对它们的影响系数也越大(小),编委数量与篇均被引的影响系数在篇均被引的不同分位点也有所不同.建议编委数量指标可作为传统科研产出评价指标的有益补充,完善目前的学术评价体系.

The correlation between the number of international journal editorial board members and the indicators of scientific output: Taking 984 world universities in economic subject for example

Editorial board members play an important role in controlling academic discourse. Analyzing the correlation between the number of editional board members and the scientific output indicators of universities would help in improving the current academic evaluation system. This study used a sample of 984 universities having SSCI editorial board members in economics and the quantile regression method to characterize the correlation between the number of editorial board members and the scientific output indicators of these universities. The results suggest that the number of editorial board members is positively and significantly related to the scientific output (the number of articles, total number of citations, citations per paper and h index, respectively) of these universities; A deeper analysis conducted using quantile regression indicates that the coefficient of the number of editorial board members on the indicators of scientific output (the number of articles, total number of citations and h index) is greater (smaller) when the university is at a higher (lower) quantile of the conditional distribution of these scientific output indicators; the coefficient of the number of editorial board members on the citations per paper is different when the university is at different quantiles of the conditional distribution of the citations per paper. We recommend that the number of editorial board members could be used as a beneficial supplement to indicators based on scientific output to improve the current academic evaluation system.