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The Spatial Diffusion of Technology

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  • Comin, Diego
  • Dmitriev, Mikhail
  • Rossi-Hansberg, Esteban

Abstract

We study empirically technology diffusion across countries and over time. We find significant evidence that technology diffuses slower to locations that are farther away from adoption leaders. This effect is stronger across rich countries and also when measuring distance along the south-north dimension. A simple theory of human interactions can account for these empirical findings. The theory suggests that the effect of distance should vanish over time, a hypothesis that we confirm in the data, and that distinguishes technology from other flows like goods or investments. We then structurally estimate the model. The parameter governing the frequency of interactions is larger for newer and network-based technologies and for the median technology the frequency of interactions decays by 73% every 1000 Kms. Overall, we document the significant role that geography plays in determining technology diffusion across countries.

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Bibliographic Info

Paper provided by C.E.P.R. Discussion Papers in its series CEPR Discussion Papers with number 9208.

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Date of creation: Nov 2012
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Handle: RePEc:cpr:ceprdp:9208

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Keywords: Geography; Human Interactions; Technology Diffusion;

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References

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  1. Mark Rosenzweig & Andrew D. Foster, . "Learning by Doing and Learning from Others: Human Capital and Technical Change in Agriculture," Home Pages _068, University of Pennsylvania.
  2. Peter Thompson & Melanie Fox Kean, 2004. "Patent Citations and the Geography of Knowledge Spillovers: A Reassessment," Working Papers 0401, Florida International University, Department of Economics.
  3. Diego A. Comin & William Easterly & Erick Gong, 2008. "Was the Wealth of Nations Determined in 1000 B.C.?," Harvard Business School Working Papers 09-052, Harvard Business School.
  4. Oriana Bandiera & Imran Rasul, 2006. "Social Networks and Technology Adoption in Northern Mozambique," Economic Journal, Royal Economic Society, vol. 116(514), pages 869-902, October.
  5. William R. Kerr & Scott Duke Kominers, 2010. "Agglomerative Forces and Cluster Shapes," Harvard Business School Working Papers 11-061, Harvard Business School, revised Nov 2012.
  6. Angus Maddison, 2005. "Measuring And Interpreting World Economic Performance 1500-2001," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 51(1), pages 1-35, 03.
  7. Robert E. Hall & Charles I. Jones, 1999. "Why Do Some Countries Produce So Much More Output per Worker than Others?," NBER Working Papers 6564, National Bureau of Economic Research, Inc.
  8. Diego Comin & Bart Hobijn, 2003. "Cross-country technology adoption: making the theories face the facts," Staff Reports 169, Federal Reserve Bank of New York.
  9. James E. Anderson & Eric van Wincoop, 2000. "Gravity with Gravitas: A Solution to the Border Puzzle," Boston College Working Papers in Economics 485, Boston College Department of Economics.
  10. repec:cup:cbooks:9780521801386 is not listed on IDEAS
  11. repec:cup:cbooks:9780521805247 is not listed on IDEAS
  12. Basu, Susanto, 1996. "Procyclical Productivity: Increasing Returns or Cyclical Utilization?," The Quarterly Journal of Economics, MIT Press, vol. 111(3), pages 719-51, August.
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