Visualizing the GVC research: a co-occurrence network based bibliometric analysis

Abstract

During the past 30 years there has been growing interests in global value chains (GVC) across various disciplines including economics, business & management, economic geography, operational research, computer science, engineering, and so forth. In order to further explore GVC research, this paper employs bibliometric analysis based on co-occurrence network; specifically, it investigates the temporal evolution of disciplines and keywords co-occurrences, as well as the reference co-citation analysis between 1995 and 2014, in order to uncover the evolution of disciplines and research fronts, and identify the intellectual base of global value chains research.

DOI: 10.1007/s11192-016-2100-5

8 Figures and Tables

Cite this paper

@article{Liu2016VisualizingTG, title={Visualizing the GVC research: a co-occurrence network based bibliometric analysis}, author={Linqing Liu and Shiye Mei}, journal={Scientometrics}, year={2016}, volume={109}, pages={953-977} }