Urban Density and the Rate of Invention

By Gerald A. Carlino, Satyajit Chatterjee, R. Hunt. 2006

675 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/43ca12ad9cd2bd0657ff7138f285d60b6d0fda94

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In Economics and Econometrics

Citations in the corpus

The Economic Performance of European Cities and City Regions: Myths and Realities (2013, background): “Knowledge-driven industrial clusters are found primarily in city regions (Porter, 1990) and the urban scale-associated density increases (Rozenfeld et al., 2011) also appear to be positively related to productivity and innovation (Ciccone & Hall, 1996; Carlino et al., 2007).”
Breakthrough Inventions and Migrating Clusters of Innovation (2009, background): “2For example, Arzaghi and Henderson (2008), Carlino et al. (2007), Carlino and Hunt (2007), Delgado et al. (2008, 2009), Ellison et al. (2009), Glaeser and Kerr (2009), Jacobs (1970), Ja¤e et al. (1993), Marshall (1920), Rosenthal and Strange (2003), Thompson (2006), and Thompson and Fox-Kean…”
Local Industrial Conditions and Entrepreneurship: How Much of the Spatial Distribution Can We Explain? (2009, positive): “On the other hand, the Chinitz measure of small suppliers has very strong predictive power. We then turn to our main regressions that include both city and industry fixed effects. The Chinitz measure is again the most important factor in these conditional estimations. Small suppliers predict new ent”
Evaluating the Economic Cost of Coastal Flooding (2018, methodology): “In particular, after taking logs and discretizing space, we can rewrite (8) for country c as log yt+1 (c)− log yt (c) = α1 +α2 log ∑ Sc Lc (s) α3 , where Sc is the two-dimensional surface occupied by country c.”
The innovative performance of firms in heterogeneous environments: the interplay between external knowledge and internal absorptive capacities (2018, background): “In so doing, we build on the consolidated rationale of the theory of agglomeration economies that focuses on geographic mobility mainly as a channel of diversity and complementarity in knowledge (e.g. Carlino, 2001).”
Local Labor Markets (2010, background): “In recent work, Carlino et al. (2009) use patents to measure innovation, and find that the number of patents per capita is positively correlated to the density of employment in the highly urbanized portion of metropolitnan areas.”
Foreign Direct Investment Spillovers and the Geography of Innovation in Chinese Regions: The Role of Regional Industrial Specialization and Diversity (2016, result): “These results in turn are disputed for European regions (GREUNZ, 2004; MORENO et al., 2005); moreover CARLINO et al. (2007) find that specialization within manufacturing industries is unhelpful for creating spillovers in various European Union countries, whereas specialization in services does…”
Smart specialisation, regional growth and applications to EU cohesion policy (2011, background): “…and innovation tends to be systematically higher in cities and more densely populated regions than in lower population density regions (Acs 2002; Carlino et al. 2007); secondly, entrepreneurship and innovation tends to be higher in more sectorally diversified regions (Van Oort 2004); thirdly,…”
The economic effects of density: A synthesis (2019, positive): “21, which is in line with Carlino et al. (2007) and our own analysis of US FUAs. This consistency is reassuring. However, the evidence base is relatively thin and our own elasticity estimates for the world-wide sample, at 0.13, are somewhat smaller than the recommended elasticity. More work aiming a”
The territorial dynamics of innovation in China and India (2012, neutral): “…in innovative performance across territories will emerge from agglomeration economies, because concentrations of firms and skilled workers will increase the creation and diffusion of knowledge, or what are known as localised ‘spillovers’ or ‘learning’ (e.g. Acs et al, 2002; Carlino et al, 2007).”
The Economic Geography of Global Warming (2021, background): “Agents facing adverse temperature conditions that affect their welfare in a given location will react by moving, by trading with other locations, and by developing centres of economic activity in areas that are not so heavily affected or that beneﬁt from warmer temperatures.”