Identifying Cooperation for Innovation―a Comparison of Data Sources
Michael Fritsch, Mirko Titze, M. Piontek
Industry and Innovation,
forthcoming
Abstract
The value of social network analysis is critically dependent on the comprehensive and reliable identification of actors and their relationships. We compare regional knowledge networks based on different types of data sources, namely, co-patents, co-publications, and publicly subsidized collaborative R&D projects. Moreover, by combining these three data sources, we construct a multilayer network that provides a comprehensive picture of intraregional interactions. By comparing the networks based on the data sources, we address the problems of coverage and selection bias. We observe that using only one data source leads to a severe underestimation of regional knowledge interactions, especially those of private sector firms and independent researchers.
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Entrenchment through Corporate Social Responsibility: Evidence from CEO Network Centrality
Salim Chahine, Yiwei Fang, Iftekhar Hasan, Mohamad Mazboudi
International Review of Financial Analysis,
forthcoming
Abstract
This paper investigates whether CEOs with high network centrality entrench themselves when taking CSR decisions and how that affects firm value. Evidence portrays that CSR in firms with more central CEOs is negatively associated with firm-value, and this association is mitigated by better corporate governance mechanisms and by geographic areas of higher social capital. This negative association is lower during disasters which reflect periods of positive exogenous shocks to the societal demand for CSR. Furthermore, CSR by more central CEOs is positively associated with future increases in CEO compensation and future improvement in a CEO's network position. The findings reveal that, in general, central CEOs use CSR to entrench themselves and gain private benefits rather than increase shareholder value.
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Identifying Cooperation for Innovation – A Comparison of Data Sources
Michael Fritsch, M. Piontek, Mirko Titze
IWH Discussion Papers,
No. 1,
2019
Abstract
The value of social network analysis is critically dependent on the comprehensive and reliable identification of actors and their relationships. We compare regional knowledge networks based on different types of data sources, namely, co-patents, co-publications, and publicly subsidised collaborative Research and Development projects. Moreover, by combining these three data sources, we construct a multilayer network that provides a comprehensive picture of intraregional interactions. By comparing the networks based on the data sources, we address the problems of coverage and selection bias. We observe that using only one data source leads to a severe underestimation of regional knowledge interactions, especially those of private sector firms and independent researchers. The key role of universities that connect many regional actors is identified in all three types of data.
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18.12.2018 • 22/2018
IWH leads large scale EU research project on productivity
Is productivity growth slowing in industrialised countries? And if so, why? From the start of 2019, the Halle Institute for Economic Research (IWH) will be addressing these questions as the coordinator of a new EU project. Economists and statistics experts from nine European partners will collaborate on the three-year project, entitled MICROPROD. With a total budget of just under three million euros, it is the IWH’s largest EU project to date.
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