Coarse-graining the input of education and R&D in China

Zhuo-Ming Ren and Yixiu Kong ()
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Zhuo-Ming Ren: Department of Physics, University of Fribourg, Chemin du Musée 3, CH-1700, Fribourg, Switzerland
Yixiu Kong: Department of Physics, University of Fribourg, Chemin du Musée 3, CH-1700, Fribourg, Switzerland

International Journal of Modern Physics C (IJMPC), 2016, vol. 27, issue 12, 1-8

Abstract: Coarse-grained analysis enhances our understanding of complex processes such as physical procedures, economic complexity. We collect the data sets from 31 regions of China in terms of the gross regional domestic product (GRDP) and the expense invested in Education and R&D between 1998 and 2013, then employ the coarse-grained method to analyze the causal direction according to the cross-section data with time-series information. Specifically, the empirical results suggest that the share of the GRDP invested in Education and R&D in large time scale reveals a dynamical process due to economic complexity, but limits around to base lines.

Keywords: Education; R&D; GDP; evolution; coarse graining (search for similar items in EconPapers)
Date: 2016
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DOI: 10.1142/S0129183116501515

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