Abstract
Studies around public–private partnerships (PPPs) have shaped a complex and colorful research field. A series of review studies have been performed to explore the knowledge base of this field. Despite their significant contributions, bibliometric research on the PPPs literature is still needed to capture more comprehensive, diverse and detailed information in this area from a holistic perspective, for reducing subjectivity and one-sidedness. Under this situation, this paper continues the bibliometric journey by conducting a comprehensive metrological and content analysis of the PPPs research field. By applying a newly developed Bibliometrix R-package tool, the overview of PPPs research is presented via metrological analysis using a series of indexes. The intellectual structure of this domain is then explored via content analysis using the methods of keywords analysis and citation analysis from both static and dynamic perspectives. Consequently, the panoramic view including the overview, pivotal points of topics, thematic evolution and research focuses of this domain are depicted visually and intuitively via a set of science maps. This new attempt crystallizes out key findings and valuable information of PPPs research, which can consolidate and broaden the bibliometric findings of previous PPPs literature studies and act as a guidance for analyzing the knowledge base of other research fields.
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Notes
TC/Y means average annual citations since publication. For example, TC of Chan APC’s productions at 2010 is 611, then the corresponding TC/Y = 611/(2019–2010) = 67.89.
The countries/region ranked from 5 to 10th are Taiwan (78 articles), Netherlands (67 articles), Spain (67 articles), Italy (62 articles), Portugal (54 articles) and Germany (53 articles).
Actually, among all the 74 countries with corresponding authors, only MCP-Ratio of Singapore is higher than 50%.
Frequency here means the number of articles published by co-authors from both of the two countries.
The top 50 high frequency keywords in the PPPs literature are used to generate the conceptual structure map. Since there are several keywords with the same frequency ranking the 50th (frequency: 9), a total of 53 keywords are included in Fig. 10.
Different numbers of clusters can be generated by adjusting the parameters of the command code. In this paper, eight keywords clusters are generated for obtaining fine-grained topic categories.
The most relevant papers associated with each cluster can be detected by Bibliometrix. Some of these relevant papers are used to illustrate the clusters of the conceptual structure map.
The keyword elements of each cluster in the Sankey diagram can also be detected by Bibliometrix.
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Acknowledgements
This study is supported by the National Social Science Foundation of China (19BGL274) and the National Natural Science Foundation of China (71972018, 71561009). The authors wish to thank the anonymous reviewers, whose insightful comments and helpful suggestions significantly contributed to improving this paper.
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Shi, J., Duan, K., Wu, G. et al. Comprehensive metrological and content analysis of the public–private partnerships (PPPs) research field: a new bibliometric journey. Scientometrics 124, 2145–2184 (2020). https://doi.org/10.1007/s11192-020-03607-1
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DOI: https://doi.org/10.1007/s11192-020-03607-1