Determinants of Knowledge Flows and Their Effect on Innovation

By Giovanni Peri. Review of Economics and Statistics, 2005

541 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/1bbfc94cfa8a5d922b4d164c9e7c0643a3b89b29

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Citations in the corpus

Do Firms Learn from International Trade? (2006, background): “However, Peri (2004) finds no evidence that increased rates of interregional knowledge diffusion as measured by patent citations have a positive effect on invention.”
Induced innovation in clean energy technologies from foreign environmental policy stringency? (2019, methodology): “As stated above, knowledge stocks are calculated using the perpetual inventory method, popularized by Peri (2005), and used explicitly for climate technologies by Popp (2002), Haščič and Johnstone (2011), Verdolni and Galeotti (2011) and Dechezleprêtre et al. (2013).”
Patent Citations as a Measure of Knowledge Flows: The Influence of Examiner Citations (2006, background): “” Since that pioneering work, patent citations have been utilized extensively to measure the diffusion of knowledge across a variety of dimensions: geographic space, time, technological fields, organizational boundaries, alliance partnerships, and social networks (see, for example, Almeida & Kogut, ”
Research Networks and Inventors' Mobility as Drivers of Innovation: Evidence from Europe (2013, unknown): “The accumulation of R&D is described as (PERI, 2005): DR&D = R&Dt − dR&Dt−1 where d is an arbitrary depreciation rate set at 5%.”
The Internationalization of Inventive Activity: A Gravity Model Using Patent Data (2010, background): “In particular, distance effects have been found in the trade of services (Ceglowski, 200 6, and Kimura and Lee, 2006), trade through the Internet (Blum and Goldfarb, 2006), kno wledge flows through patent citations (Peri, 2005), immigration flows (Lewer and Van den Berg, 2008), and also in fields ou”
Ethnic Scientific Communities and International Technology Diffusion (2007, background): “Ja¤e et al. (1993), Peri (2005), Hu and Ja¤e (2004), Agrawal et al. (2006), and MacGarvie (2006) are examples of applications in an international distance context.”
At Home and Abroad: An Empirical Analysis of Innovation and Diffusion in Energy-Efficient Technologies (2011, methodology): “The problem in estimating equation (7) is that the diffusion parameter φi,j is not observable, but Peri (2005) shows that it is possible to use observable patent citations ci,j in order to proxy the diffusion of knowledge: ci,j = exp [ρi + ϑj + b1(x1)ij + b2(x2)ij + . . . + bn(xn)ij + ij ]…”
Climate agreement and technology diffusion: Impact of the Kyoto Protocol on international patent applications for renewable energy technologies (2019, background): “Some researchers regard patent citations as a measure of technology diffusion (Jaffe et al., 1993; Peri, 2005; Popp, 2006).”
Networks of innovators within and across borders. Evidence from patent data (2013, methodology): “…extensively to measure the diffusion of knowledge across a variety of dimensions: geographic space, time, technological fields, organizational boundaries, alliance partnerships, and social networks (Almeida and Kogut, 1999; Jaffe and Trajtenberg, 2002; Peri, 2005; Gomes-Casseres et al., 2006).”
An absorptive capacity theory of knowledge spillover entrepreneurship (2011, background): “Even from the view of the KPF followers who have demonstrated that knowledge spillovers are geographically bounded (Acs et al. 2002; Anselin et al. 1997, 2000; Jaffe et al. 1993; Peri 2005), knowledge will automatically spill over between economic agents.”