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Improvements in productivity based on co-authorship: a case study of published articles in China

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Abstract

The issue of primary interest to this study is the collaboration that has taken place in science and technology (S&T) research in China. Due to our empirical evidences, the regions with higher relationship (network) capital enjoy higher knowledge productivity in terms of published articles. Our purpose in this paper is to investigate the relationships that exist between regional published articles and co-authorship in China covering the period from 1998 to 2007 by using Stata to investigate the relation between the regional publications and co-authored published articles. As main findings, the greater the number of co-authored articles that a region has, the greater their success, in terms of the number of articles published. Indeed, both domestic and international co-authorship have had positive effects on published article levels in China.

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Notes

  1. The function form with two inputs is of the form:

    \( P(K,L) = bK^{\alpha } L^{\beta } \) where P = total production, K = capital input, L = labor input, b = total factor production, α and β are the output elasticities of capital and labor, respectively. These values are constants determined by available technology.

  2. The model adopted for this study is also similar to that proposed by Liu and Zhou (2008).

  3. The region of Tibet is excluded from our sample.

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Correspondence to Cheng-Chung Cho.

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Cho, CC., Hu, MW. & Liu, MC. Improvements in productivity based on co-authorship: a case study of published articles in China. Scientometrics 85, 463–470 (2010). https://doi.org/10.1007/s11192-010-0263-z

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