Drawing upon the resource-based view, this study examines how political connections affect corporate diversification in an emerging economy. Data from a sample of 1,280 Chinese public firms over 2002-2005 show a strong positive relationship between political connections and corporate diversification. We also find that the positive relationship between political connections and corporate diversification is moderated by the level of state ownership in firms and the level of regional institutional development. Theoretical and managerial implications are discussed.We would like to thank the Senior Editor Kevin Zhou and the two anonymous reviewers for their insightful and constructive comments.
Drawing on expectancy theory and the socioemotional wealth (SEW) perspective, we propose that family owners with intrafamily succession intention are more motivated to accumulate or preserve SEW. As corporate philanthropy is a critical way for family-controlled firms to accumulate or maintain SEW, family owners with intrafamily succession intention are more likely to engage in corporate philanthropic activities. Data on a nationally representative sample of family-controlled firms in China support our prediction. We also find that the relationship between intrafamily succession intention and corporate philanthropy is moderated by family owners' social status and religiosity. The findings contribute to our understanding about family businesses, in general, and those in China, in particular, as well as the SEW perspective.
It is important for maritime authorities to effectively classify and identify unknown types of ships in historical trajectory data. This paper uses a logistic regression model to construct a ship classifier by utilising the features extracted from ship trajectories. First of all, three basic movement patterns are proposed according to ship sailing characteristics, with related sub-trajectory partitioning algorithms. Subsequently, three categories of trajectory features with their extraction methods are presented. Finally, a case study on building a model for classifying fishing boats and cargo ships based on real Automatic Identification System (AIS) data is given. Experimental results indicate that the proposed classification method can meet the needs of recognising uncertain types of targets in historical trajectory data, laying a foundation for further research on camouflaged ship identification, behaviour pattern mining, outlier behaviour detection and other applications.
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