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Influence of different types of actors in PPP networks, 2012-2017 Figure notes: The figure shows the comparison of eigenvector centrality scores compared with the Transportation and Environmental protection networks. Asterisks are shown on the top if the difference is significant using the Wilcoxon Rank Sum test, *p < 0.10, **p < 0.05, ***p < 0.01. Influence of actors is measured by the eigenvector centrality which assesses how well-connected an actor is to other well-connected actors in the network (Borgatti, 2005).
Source publication
A salient characteristic of China's public-private partnerships (PPPs) is the deep involvement of state-owned enterprises (SOEs), particularly those administered by the central/national government (CSOEs). This paper integrates the approaches of resource-based view and resource-dependency theory to explain CSOEs' involvement in PPP networks. Built...
Contexts in source publication
Context 1
... play a dominant role in the PPP networks of both transportation and environmental protection sectors, compared with other types of actors. Figure 5 shows the influence, which is measured by eigenvector centrality, of different types of actors in PPP networks. Eigenvector centrality assesses the degree to which an actor in the network is allied with other well-connected actors. ...
Context 2
... play a dominant role in the PPP networks of both transportation and environmental protection sectors, compared with other types of actors. Figure 5 shows the influence, which is measured by eigenvector centrality, of different types of actors in PPP networks. Eigenvector centrality assesses the degree to which an actor in the network is allied with other well-connected actors. ...
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