Cross-affiliation collaboration and power laws for research output of institutions: Evidence and theory from top three finance journals

IF 0.5 4区 经济学 Q4 ECONOMICS International Studies of Economics Pub Date : 2023-04-17 DOI:10.1002/ise3.52
Hui Dong, Dan Luo, Xudong Zeng, Zhentao Zou
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Abstract

Cross-affiliation emerges as a new and fast-developing means to promote collaboration in financial research. We find that the average number of affiliations reported per author in the top-three finance journals increases steadily from 1.1 to 1.3 from 1995 to 2016. Scale-free power laws characterize the resulting highly-skewed distributions of top finance journal publications of worldwide institutions. We propose an explanation of the scale-invariance, based on a network model featuring nonlinear growth and linear preferential attachment. The model indicates that success-breeds-success engenders 87% of total publications and hence the dispersion in research output, while accelerated growth of collaboration reduces the heterogeneity.

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跨机构合作与机构研究成果的幂律:来自三大金融期刊的证据和理论
交叉任职是促进金融研究合作的一种快速发展的新手段。我们发现,从 1995 年到 2016 年,排名前三的金融期刊报告的每位作者的平均合作关系数量从 1.1 稳步上升到 1.3。无标度幂律是全球机构顶级金融期刊论文高度倾斜分布的特征。我们基于非线性增长和线性优先附着的网络模型,提出了规模不变量的解释。该模型表明,"成功--繁殖--成功 "产生了总发表量的 87%,从而导致了研究成果的分散,而合作的加速增长则降低了异质性。
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