Knowledge diffusion from FDI and Intellectual Property Rights

We study the extent to which a country's strength of Intellectual Property Rights (IPR) protection mediates knowledge spillovers from Foreign Direct Investment (FDI). Following the opposing views in the IPR debate, we propose a negative effect of IPR strength on unintentional horizontal (intra-industry) knowledge diffusion. Using a unique firm-level dataset of large, publicly traded firms in 22 (mostly) developed countries, we find partial support for these expectations. Strong IPR indeed reduces horizontal knowledge diffusion, while it stimulates backward (to suppliers) knowledge diffusion. Somewhat unexpectedly however, we also find that forward (to customers) knowledge diffusion decreases with IPR strength. In general, and in line with earlier literature, the results regarding backward knowledge diffusion are most robust to changes in model specification. Our results contribute to the debate regarding the desirability of strengthening national IPR systems, and suggest that local firms might indeed benefit from this through their (backward) linkages with multinationals. Additionally, our results suggest that the moderating effect of IPR strength might partly explain the inconclusive results in the FDI knowledge diffusion literature.

Alien Registration- Albert, Joseph Roger R. (Saint Agatha, Aroostook County)

https://digitalmaine.com/alien_docs/33652/thumbnail.jp

Community analysis in social networks

We present an empirical study of different social networks obtained from digital repositories. Our analysis reveals the community structure and provides a useful visualising technique. We investigate the scaling properties of the community size distribution, and that find all the networks exhibit power law scaling in the community size distributions with exponent either -0.5 or -1. Finally we find that the networks' community structure is topologically self-similar using the Horton-Strahler index.Comment: Submitted to European Physics Journal

Optimal information transmission in organizations: Search and congestion

We propose a stylized model of a problem-solving organization whose internal communication structure is given by a fixed network. Problems arrive randomly anywhere in this network and must find their way to their respective “specialized solvers” by relying on local information alone. The organization handles multiple problems simultaneously. For this reason, the process may be subject to congestion. We provide a characterization of the threshold of collapse of the network and of the stock of foating problems (or average delay) that prevails below that threshold. We build upon this characterization to address a design problem: the determination of what kind of network architecture optimizes performance for any given problem arrival rate. We conclude that, for low arrival rates, the optimal network is very polarized (i.e. star-like or “centralized”), whereas it is largely homogenous (or “decentralized”) for high arrival rates. We also show that, if an auxiliary assumption holds, the transition between these two opposite structures is sharp and they are the only ones to ever qualify as optimal.Networks, information transmission, search, organization design

Optimal Information Transmission in Organizations: Search and Congestion

We propose a stylized model of a problem-solving organization whose internal communication structure is given by a fixed network. Problems arrive randomly anywhere in this network and must find their way to their respective “specialized solvers” by relying on local information alone. The organization handles multiple problems simultaneously. For this reason, the process may be subject to congestion. We provide a characterization of the threshold of collapse of the network and of the stock of floating problems (or average delay) that prevails below that threshold. We build upon this characterization to address a design problem: the determination of what kind of network architecture optimizes performance for any given problem arrival rate. We conclude that, for low arrival rates, the optimal network is very polarized (i.e. star-like or “centralized”), whereas it is largely homogenous (or “decentralized”) for high arrival rates. We also show that, if an auxiliary assumption holds, the transition between these two opposite structures is sharp and they are the only ones to ever qualify as optimal. Keywords: Networks, information transmission, search, organization design.Networks, Information transmission, Search, Organization design

Communicating science: The profile of science journalists in Spain / Comunicar la ciencia: El perfil del periodista científico en España

Science journalists are mainly responsible for publicly communicating science, which, in turn, is a major indicator of the social development of democratic societies. The transmission of quality scientific information that is rigorously researched and understandable is therefore crucial, and demand for this kind of information from both governments and citizens is growing. We analyzed the academic profiles of a representative sample of practicing science journalists in Spain to clarify what training they had received and how they perceived the quality and scope of this training. Using an ethnographic methodology based on a survey, in-depth interviews and focus group discussions with science journalists working for the main Spanish media (mainly printed press, audiovisual, Internet and news agencies), we analyze their academic backgrounds and collect information on their opinions and proposals. Our findings depict a complex and heterogeneous scenario and also reveal that most science journalists not only do not have any scientific training, but also do not even consider this to be necessary to exercise as science reporters. They also criticize the current system for training journalists and consider that the best way of learning the profession is by acquiring experience on the job

Communicating science: The profile of science journalists in Spain / Comunicar la ciencia: El perfil del periodista científico en España

Science journalists are mainly responsible for publicly communicating science, which, in turn, is a major indicator of the social development of democratic societies. The transmission of quality scientific information that is rigorously researched and understandable is therefore crucial, and demand for this kind of information from both governments and citizens is growing. We analyzed the academic profiles of a representative sample of practicing science journalists in Spain to clarify what training they had received and how they perceived the quality and scope of this training. Using an ethnographic methodology based on a survey, in-depth interviews and focus group discussions with science journalists working for the main Spanish media (mainly printed press, audiovisual, Internet and news agencies), we analyze their academic backgrounds and collect information on their opinions and proposals. Our findings depict a complex and heterogeneous scenario and also reveal that most science journalists not only do not have any scientific training, but also do not even consider this to be necessary to exercise as science reporters. They also criticize the current system for training journalists and consider that the best way of learning the profession is by acquiring experience on the job