Identifying Technology Spillovers and Product Market Rivalry

By Nick Bloom, Mark Schankerman, John Van Reenen. 2005

1,462 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/27ece453893b8ae44817641df8be4f7d78b8adaf

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In Economics and Econometrics

Citations in the corpus

Disproportionality Measures of Concentration, Specialization, and Localization (2008, methodology): “(2003); (ii) the so-called “relative” Theil index (Brülhart and Träger 2005, Bode and Krieger-Boden 2005), (iii) the “relative” CV (Brülhart and Träger 2005), and (iv) the “locational” Gini coefficient, as used by Krugman (1991), Amiti (1998) or Brülhart (2001).”
Industry Concentration in Europe and North America (2019, methodology): “To avoid such issues, we draw from Bloom et al. (2013) who similarly use the information on business group structure in Orbis to apportion group sales to individual subsidiaries, although their aim is to measure product market distance between groups. Other Orbis-based studies on which we build are ”
Artificial intelligence, firm growth, and product innovation (2024, background): “While AI-investing firms grow faster, the gains in industry sales and employment may be zerosum if the use of AI technologies creates a business-stealing effect on competitors (Bloom et al., 2013).”
Has the Internet Fostered Inclusive Innovation in the Developing World (2016, background): “…to the literature that has documented that knowledge spillovers, i.e. gross social returns to knowledge investments, by far exceed private returns (Bloom et al., 2013; see Audretsch and Feldman, 2004, and Keller, 2004 for overviews of the literature on international and geographic dimensions of…”
The Life Cycle of Corporate Venture Capital (2019, background): “Firms working in a fading area will benefit less from knowledge spillover (Bloom et al., 2013), which in turn will dampen the innovation and productivity growth.”
Economic reforms and industrial policy in a panel of Chinese cities (2016, positive): “An alternative measure of distance is used by Bloom et al. (2013) who argue that spillovers across rms depends on the distance in technology and product markets. Neumark and Kolko (2010) also use the identication assumption that the e¤ect of place-based policy on non-targeted areas di¤ers in the d”
The local innovation spillovers of listed firms (2021, methodology): “7 Electronic copy available at: https://ssrn.com/abstract=3817859 me to capture these potential cross-sector spillovers.”
Innovation and Institutional Ownership (2013, positive): “Estimation period is 1991–1999 ( citations up to 2002 ; fixed effects controls using the Blundell, Griffith, and Van Reenen ( 1999 ) presample mean scaling estimator.”