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Innovation and Diffusion

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  • Bronwyn H. Hall

Abstract

The contribution made by innovation and new technologies to economic growth and welfare is largely determined by the rate and manner by which innovations diffuse throughout the relevant population, but this topic has been a somewhat neglected one in the economics of innovation. This chapter, written for a handbook on innovation, provides a historical and comparative perspective on diffusion that looks at the broad determinants of diffusion, economic, social, and institutional, viewed from a microeconomic perspective. A framework for thinking about these determinants is presented along with a brief nontechnical review of modeling strategies used in different social scientific literatures. It concludes with a discussion of gaps in our understanding and potential future research questions.

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Bibliographic Info

Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 10212.

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Date of creation: Jan 2004
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Publication status: published as Fagerberg, Jan, David C. Mowery, Richard R. Nelson. The Oxford handbook of innovation. Oxford and New York: Oxford University Press, 2005.
Handle: RePEc:nbr:nberwo:10212

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  8. Andrea Bassanini & Giovanni Dosi, 1999. "Heterogenous Agents, Complementaries, and Diffusion. Do Increasing Returns Imply Convergence to International Technological Monopolies?," LEM Papers Series 1999/04, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
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Cited by:
  1. Giuliana Battisti & Heinz Hollenstein & Paul Stoneman & Martin Woerter, 2007. "Inter And Intra Firm Diffusion Of Ict In The United Kingdom (Uk) And Switzerland (Ch) An Internationally Comparative Study Based On Firm-Level Data," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 16(8), pages 669-687.
  2. Centre for the Study of Living Standards, 2005. "What Explains the Canada-US ICT Investment Intensity Gap?," CSLS Research Reports 2005-06, Centre for the Study of Living Standards.
  3. Costa, Álvaro & Fernandes, Ruben, 2012. "Urban public transport in Europe: Technology diffusion and market organisation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(2), pages 269-284.
  4. Lone Engbo Christiansen, 2008. "Do Technology Shocks Lead to Productivity Slowdowns? Evidence From Patent Data," IMF Working Papers 08/24, International Monetary Fund.
  5. Tavneet Suri, 2009. "Selection and Comparative Advantage in Technology Adoption," NBER Working Papers 15346, National Bureau of Economic Research, Inc.
  6. Elad Gafni, 2005. "The Diffusion and Adoption of Advanced Technologies in Canada: An Overview of the Issues," CSLS Research Reports 2005-05, Centre for the Study of Living Standards.
  7. Battisti, Giuliana & Canepa, Alessandra & Stoneman, Paul, 2009. "e-Business usage across and within firms in the UK: profitability, externalities and policy," Research Policy, Elsevier, vol. 38(1), pages 133-143, February.
  8. Tomasz Kijek & Arkadiusz Kijek, 2010. "Modelling of innovation diffusion," Operations Research and Decisions, Wroclaw University of Technology, Institute of Organization and Management, vol. 3, pages 53-68.
  9. Francesco Quatraro, 2009. "The diffusion of regional innovation capabilities: Evidence from Italian patent data," Post-Print halshs-00727623, HAL.
  10. Tavneet Suri, 2006. "Selection and Comparative Advantage in Technology Adoption," Working Papers 944, Economic Growth Center, Yale University.
  11. Battisti, Giuliana & Iona, Alfonsina, 2009. "The intra-firm diffusion of complementary innovations: Evidence from the adoption of management practices by British establishments," Research Policy, Elsevier, vol. 38(8), pages 1326-1339, October.
  12. Jonathan Skinner & Douglas Staiger, 2005. "Technology Adoption From Hybrid Corn to Beta Blockers," NBER Working Papers 11251, National Bureau of Economic Research, Inc.
  13. Slowak, André P., 2009. "Market fields structure & dynamics in industrial automation," FZID Discussion Papers 02-2009, University of Hohenheim, Center for Research on Innovation and Services (FZID).
  14. Oikawa, Koki, 2008. "Acceleration effect of uncertainty on technological diffusion," Economics Letters, Elsevier, vol. 101(3), pages 234-236, December.
  15. Ben Aoun - Peltier, Leila & Vicente Cuervo, Maria Rosalia, 2012. "E-commerce diffusion: exploring the determinants of the adoption and extent of usage at firm-level," MPRA Paper 49333, University Library of Munich, Germany.
  16. James G. Mulligan & Nilotpal Das, 2006. "Item Pricing Laws, Supplier Behavior, and the Diffusion of Time-Saving Technology Innovations," Working Papers 06-11, University of Delaware, Department of Economics.
  17. Marian Beise, 2004. "Lead Markets, Innovation Differentials and Growth," Discussion Paper Series 157, Research Institute for Economics & Business Administration, Kobe University.
  18. Malerba, Franco, 2007. "Innovation and the dynamics and evolution of industries: Progress and challenges," International Journal of Industrial Organization, Elsevier, vol. 25(4), pages 675-699, August.
  19. Mendonça, Sandro, 2013. "The “sailing ship effect”: Reassessing history as a source of insight on technical change," Research Policy, Elsevier, vol. 42(10), pages 1724-1738.
  20. Jonathan Skinner & Douglas Staiger, 2009. "Technology Diffusion and Productivity Growth in Health Care," NBER Working Papers 14865, National Bureau of Economic Research, Inc.

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