Open data policy and journal impacts: a synthetic difference-in-differences approach

被引：0
|
作者：
Huang, Ho-Chuan [1 ]
Ma, Yin [2 ]
Wang, Yipeng [3 ]
机构：
[1] Huzhou Univ, Sch Econ & Management, Huzhou, Peoples R China
[2] Lanzhou Univ, Sch Philosophy & Sociol, Lanzhou 730000, Peoples R China
[3] Hunan Univ, Coll Finance & Stat, Changsha, Peoples R China
来源：
APPLIED ECONOMICS LETTERS | 2024年 / 31卷 / 15期
关键词：
Open data; journal impact factor; synthetic difference-in-differences;
D O I：
10.1080/13504851.2023.2187017
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
By implementing a novel synthetic difference-in-differences approach, this article assesses whether adopting open data policy will increase the impact of a journal. Using China Industrial Economics (hereafter CIE, a leading Chinese journal which mandates authors to open their research data/code in the end of 2016) as a quasi-experiment, we show that the introduction of open data policy leads to an increase in CIE's impact factor by a factor of approximately 1.5 to 2 times.
引用
收藏
页码：1368 / 1373
页数：6
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