The role of geographical proximity in knowledge diffusion,measured by citations to scientific literature |
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| Institution: | 1. Laboratory for Studies in Research Evaluation at the Institute for System Analysis and Computer Science (IASI-CNR), National Research Council of Italy, Istituto di Analisi dei Sistemi e Informatica, Consiglio Nazionale delle Ricerche, Via dei Taurini 19, 00185 Roma, Italy;2. University of Rome “Tor Vergata” – Italy and Laboratory for Studies in Research Evaluation (IASI-CNR), Dipartimento di Ingegneria dell’Impresa, Università degli Studi di Roma “Tor Vergata”, Via del Politecnico 1, 00133 Roma, Italy;3. Research Value s.r.l., Research Value, Via Michelangelo Tilli 39, 00156 Roma, Italy;1. Laboratory for Studies in Research Evaluation at the Institute for System Analysis and Computer Science (IASI-CNR), National Research Council of Italy, Istituto di Analisi dei Sistemi e Informatica, Consiglio Nazionale delle Ricerche, Via dei Taurini 19, 00185 Roma, Italy;2. University of Rome “Tor Vergata” – Italy and Laboratory for Studies in Research Evaluation (IASI-CNR), Dipartimento di Ingegneria dell’Impresa, Università degli Studi di Roma “Tor Vergata”, Via del Politecnico 1, 00133 Roma, Italy;3. Research Value s.r.l., Research Value, Via Michelangelo Tilli 39, 00156 Roma, Italy;1. Library, Nanjing Medical University, Nanjing, 210029, China;2. State Key Laboratory of Analytical Chemistry for Life Science, School of Electronic Science and Engineering, Nanjing University, Nanjing, 210023, China;1. National Research University Higher School of Economics, Myasnitskaya, 20, 101000 Moscow, Russia;2. Institute of Mathematics, Physics and Mechanics, Jadranska 19, 1000 Ljubljana, Slovenia;3. University of Primorska, Andrej Maru?i? Institute, 6000 Koper, Slovenia;1. Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu 610054, PR China;2. URPP Social Networks, University of Zurich, 8050 Zurich, Switzerland;3. Alibaba Research Center for Complexity Sciences, Hangzhou Normal University, 311121 Hangzhou, PR China;4. Department of Radiation Oncology, Inselspital, Bern University Hospital and University of Bern, 3010 Bern, Switzerland;5. Department of Physics, University of Fribourg, 1700 Fribourg, Switzerland;1. Department of Computer Science and Engineering, IIT Roorkee, India;2. Department of Computer Science and Engineering, IIT Gandhinagar, India;3. Department of Computer Science and Engineering, IIT Kharagpur, India;4. Department of Computer Science and Engineering, IIT Bombay, India;1. Center for Modern Korean Studies, Yonsei University, Wonju, Republic of Korea;2. Department of Library and Information Science, Yonsei University, Seoul, Republic of Korea;3. College of Computing and Informatics, Drexel University, Philadelphia, USA |
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| Abstract: | This paper analyses the influence of geographic distance on knowledge flows, measured through citations to scientific publications. Previous works using the same approach are limited to single disciplines. In this study, we analyse the Italian scientific production in all disciplines matured in the period 2010–2012. To calculate the geographic distances between citing and cited publications, each one is associated with a “prevalent” territory on the basis of the authors’ affiliations. The results of the application of a gravity model, estimated using ordinary least squares regression, show that despite the spread of IT, geographic distance continues to be an influential factor in the process of knowledge flows between territories. In particular, the analysis reveals that the effect of geographic distance on knowledge flows is significant at the national level, not negligible at the continental level, but completely irrelevant at the intercontinental level. |
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| Keywords: | Knowledge spillovers Knowledge flows Bibliometrics Universities |
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