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【目的】研究学术期刊的生产率及其变化问题。【方法】通过数据包络分析(DEA)模型评价学术期刊的表现,讨论出版期数、引文密度、被引半衰期等指标的适用性,利用Malmquist指数测算期刊表现的变化情况。【结果】2007—2013年,中国社会科学引文索引(CSSCI)管理学领域期刊表现年均进步幅度为5.5%。进入国家自然科学基金委员会认定期刊列表的期刊的进步程度比未进入列表的期刊要快,各期刊表现的差异程度也相对较小,“马太效应”显现。进入或退出CSSCI名单的期刊的表现一般在第2年发生较大变化,表明存在“牛鞭效应”。【结论】DEA-Malmquist方法适用于多指标评价期刊生产率及其表现变化。由于引用产生过程的“蜂窝煤”特性,与BCC模型相比,CCR模型更适合评价期刊表现。
【Objective】 To study the academic journal’s productivity and its changes. 【Method】 The performance of academic journals was evaluated by data envelopment analysis (DEA) model. The applicability of such indexes as publication period, citation density and cited half-life was discussed. Malmquist index was used to estimate the performance of journals. 【Results】 From 2007 to 2013, the average annual improvement rate of Chinese Journal of Social Sciences Citation Index (CSSCI) was 5.5%. Journals entering NSFC’s list of approved journals have progressed more rapidly than journals not listed in the list, and the extent of the differences in the performance of journals has also been relatively small. The “Matthew Effect” appears. The performance of journals entering or leaving the CSSCI list generally changed significantly in the second year, indicating the existence of “bullwhip effect.” 【Conclusion】 The DEA-Malmquist method is suitable for evaluating multi-index periodicals’ productivity and its performance. Due to the “briquette” nature of the citation generation process, the CCR model is more suitable for evaluating journal performance than the BCC model.