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

Author:

Dong Hui1,Luo Dan23ORCID,Zeng Xudong2,Zou Zhentao4

Affiliation:

1. Institute of Accounting and Finance, School of Accountancy Shanghai University of Finance and Economics Shanghai China

2. School of Finance Shanghai University of Finance and Economics Shanghai China

3. Shanghai Key Laboratory of Financial Information Technology Shanghai University of Finance and Economics Shanghai China

4. Research Center for Financial Engineering and Risk Management, Economics and Management School Wuhan University Wuhan China

Abstract

AbstractCross‐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.

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

General Economics, Econometrics and Finance

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