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The Journal of Technology Transfer

, Volume 40, Issue 4, pp 629–662 | Cite as

Is geographic nearness important for trading ideas? Evidence from the US

  • Kyriakos DrivasEmail author
  • Claire Economidou
Article

Abstract

This paper studies the relative geographic scope of two different channels of knowledge flows, a market channel where knowledge diffuses via patent transactions and a non-market channel where knowledge spillovers operate via patent citations. While there is significant work on informal non-market channels of knowledge diffusion, formal market channels of knowledge transfer are less studied, primarily due to the lack of comprehensive data. Using a newly compiled dataset by the Office of the Chief Economist at the United States Patent and Trademark Office of transactions of US issued patents, we are able to provide novel insights on the spread of patent transaction flows across the states of the US. Our findings support that geographic proximity, in terms of distance and border, matters for the spread of knowledge for both channels; however, it is more essential to the operation of market based (patent trades) than to the operation of non-market based (citations) flows. Although both flows are highly localized, the geographic scope of knowledge flows based on citations is larger than that of traded patents. Intra-sectoral flows are also found to be very localized with Mechanical sector to exhibit the most geographically confined knowledge flows, while flows from information technology sectors, i.e., Electronics and Computers, are the most far reached compared to the knowledge flows from the rest of the sectors, both in the US and abroad. Finally, there is no nuance evidence that the importance of distance has declined over time, either at state or national level for both types of flows.

Keywords

Patent transactions Citations Knowledge flows  Localization Distance 

JEL Classification

F10 F23 O33 

Notes

Acknowledgments

We are grateful to Stuart Graham, Alan Marco, Kirsten Apple, Saurabh Vishnubhakat, Galen Hancock and the entire staff of the Office of the Chief Economist for their assistance and generous support. We also thank Dietmar Harhoff, Karin Hoisl, and seminar participants at the Center for Advanced Management Studies at Ludwig Maximilian University and at the 7th Annual EPIP Conference for their useful insights. Finally, we appreciate valuable comments provided by Sotiris Karkalakos, Zhen Lei, Timothy Simcoe, Brian D. Wright, and two anonymous referees. Kyriakos Drivas gratefully acknowledges financial support from the National Strategic Reference Framework No: SH1_4083. The usual disclaimer applies.

References

  1. Ai, C., & Norton, E. C. (2003). Interaction terms in logit and probit models. Economics Letters, 80(1), 123–129.CrossRefGoogle Scholar
  2. Alcacer, J., & Gittelman, M. (2006). Patent citations as a measure of knowledge flows: The influence of examiner citations. Review of Economics and Statistics, 88(4), 774–779.CrossRefGoogle Scholar
  3. Aldieri, L. (2011). Technological and geographical proximity effects on knowledge spillovers: Evidence from the us patent citations. Economics of Innovation and New Technology, 20(6), 597–607.CrossRefGoogle Scholar
  4. Anton, J., & Yao, D. (1994). Expropriation and inventions: Appropriable rents in the absence of property rights. American Economic Review, 84(1), 190–209.Google Scholar
  5. Arrow, K. (1962). Economic welfare and the allocation of resources for invention. In: The rate and direction of inventive activity (pp. 609–625). Princeton: Princeton University Press.Google Scholar
  6. Audretsch, D. B., & Feldman, M. P. (1996). R&d spillovers and the geography of innovation and production. The American Economic Review, 86(3), 630–640.Google Scholar
  7. Autant-Bernard, C., Fadairo, M., & Massard, N. (2013). Knowledge diffusion and innovation policies within the european regions: Challenges based on recent empirical evidence. Research Policy, 42(1), 196–210.CrossRefGoogle Scholar
  8. Belenzon, S., & Schankerman, M. (2011). Spreading the word: Geography, policy and knowledge spillovers. CEPR Discussion Paper No. 8002, Forthcoming in Review of Economics and Statistics.Google Scholar
  9. Breschi, S., Lissoni, F. (2004). Knowledge networks from patent data: Methodological issues and research targets. Centre for Knowledge, Internationalization and Technology Studies, University of Bocconi, KITeS Working Papers No. 150.Google Scholar
  10. Burhop, C., & Wolf, N. (2013). The german market for patents during the “second industrialization”, 1884–1913: A gravity approach. Business History Review, 87(1), 69–93.CrossRefGoogle Scholar
  11. Coe, D., & Helpman, E. (1995). International R&D spillovers. European Economic Review, 39(5), 859–887.CrossRefGoogle Scholar
  12. Criscuolo, P., & Verspagen, B. (2008). Does it matter where patent citations come from? inventor vs. examiner citations in european patents. Research Policy, 37(10), 1892–1908.CrossRefGoogle Scholar
  13. Disdier, A., & Head, K. (2008). The puzzling persistence of the distance effect on bilateral trade. Review of Economics and Statistics, 90(1), 37–48.CrossRefGoogle Scholar
  14. Ellison, G., & Glaeser, E. (1997). Geographic concentration in U.S. manufacturing industries: A dartboard approach. Journal of Political Economy, 105(5), 889–927.CrossRefGoogle Scholar
  15. Fujita, M., & Thisse, J.-F. (2002). Economics of agglomeration. cities, industrial location and regional growth. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
  16. Furman, J. L., & Stern, S. (2011). Climbing atop the shoulders of giants: The impact of institutions on cumulative research. American Economic Review, 101(5), 1933–1963.CrossRefGoogle Scholar
  17. Gawer, A., & Cusumano, M. (2002). Platform leadership: How intel, palm, cisco and others drive industry innovation. Cambridge, MA: Harvard Business School Press.Google Scholar
  18. Griffith, R., Lee, S., & van Reenen, J. (2011). Is distance dying at last? falling home bias in fixed-effects models of patent citations. Quantitative Economics, 2(2), 211–249.CrossRefGoogle Scholar
  19. Hall, B., Jaffe, A., & Trajtenberg, M. (2001). The nber patents citations data file: Lessons, insights and methodological tools. NBER Working Paper No. 8498.Google Scholar
  20. Hausman, J., Hall, B., & Gril, (1986). Econometric models for count data with an application to the patents—R&D relationship. Econometrica, 52(4), 909–938.CrossRefGoogle Scholar
  21. Holmes, T., & Stevens, J. (2004). Spatial distribution of economic activities in North America. In J. Vernon Henderson & Jacques-François Thisse (Eds.), Hand book of urban and regional economics: Cities and geography. Amsterdam: Elsevier.Google Scholar
  22. Jaffe, A. B., Trajtenberg, M., & Henderson, R. (1993). Geographic localization of knowledge spillovers as evidenced by patent citations. Quarterly Journal of Economics, 108(3), 577–598.CrossRefGoogle Scholar
  23. Keller, W. (2002). Geographic localization of international technology diffusion. American Economic Review, 92(1), 120–142.CrossRefGoogle Scholar
  24. Kim, Y., Barkley, D., & Henry, M. (2000). Industry characteristics linked to establishment concentrations in nonmetropolitan areas. Journal of Regional Science, 40(2), 231–259.CrossRefGoogle Scholar
  25. Krugman, P. (1991). Geography and trade. Cambridge: MIT Press.Google Scholar
  26. Lai, R., Amour, A.D., Yu, A., Sun, Y., Torvik, V., Fleming, L. (2011). Disambiguation and co-authorship networks of the U.S. patent inventor database (1975–2010). http://hdl.handle.net/1902.1/15705 UNF:5:9kQaFvALs6qcuoy9Yd8uOw== V1 [Version].
  27. Li, Y. (2009). Borders and distance in knowledge flows: Dying over time or dying with age? Evidence from patent citations. CESifo Working Paper Series No. 2625.Google Scholar
  28. Lucas, R. (1988). On the mechanics of economic development. Journal of Monetary Economics, 22(1), 3–42.CrossRefGoogle Scholar
  29. Marcon, E., & Puech, F. (2003). Evaluating the geographic concentration of industries using distance-based methods. Journal of Economic Geography, 3(4), 409–428.CrossRefGoogle Scholar
  30. Martin, R., & Sunley, P. (2003). Deconstructing clusters: Chaotic concept or policy panacea? Journal of Economic Geography, 3(1), 5–35.CrossRefGoogle Scholar
  31. Marx, M., Strumsky, D., & Fleming, L. (2009). Mobility, skills, and the michigan non-compete experiment. Management Science, 55(6), 875–889.CrossRefGoogle Scholar
  32. Mowery, D., & Ziedonis, A. (2001). The geographic reach of market and non-market channels of technology transfer: Comparing citations and licences of university patents. NBER Working Paper No. 8568.Google Scholar
  33. Peri, G. (2005). Determinants of knowledge flows and their effect on innovation. Review of Economics and Statistics, 87, 308–322.CrossRefGoogle Scholar
  34. Perkins, R., & Neumayer, E. (2011). Transnational spatial dependencies in the geography of non-resident patent filings. Journal of Economic Geography, 11(1), 37–60.CrossRefGoogle Scholar
  35. Portes, R., & Rey, H. (2005). The determinants of cross-border equity flows. Journal of International Economics, 65(2), 269–296.CrossRefGoogle Scholar
  36. Portes, R., Rey, H., & Oh, Y. (2001). Information and capital flows: The determinants of transcations in financial assets. European Economic Review, 45(4–6), 783–796.CrossRefGoogle Scholar
  37. Rivera-Batiz, L., & Romer, P. (1991). Economic integration and endogenous growth. Quarterly Journal of Economics, 106(2), 227–244.CrossRefGoogle Scholar
  38. Romer, P. (1986). Increasing returns and long-run growth. Journal of Political Economy, 94(5), 1000–1037.CrossRefGoogle Scholar
  39. Santos Silva, J. M. C., & Tenreyro, S. (2006). The log of gravity. Review of Economics and Statistics, 88(4), 641–658.CrossRefGoogle Scholar
  40. Santos Silva, J. M. C., & Tenreyro, S. (2010). On the existence of the maximum likelihood estimates for poisson regression. Economics Letters, 107, 310–312.CrossRefGoogle Scholar
  41. Saxenian, A. (1994). Regional advantage: Culture and competition in Silicon Valley and Route 128. Cambridge, MA: Harvard University Press.Google Scholar
  42. Serrano, C. (2011). Estimating the gains from trade in the market for innovation: Evidence from the transfer of patents. NBER Working Paper No. 17304.Google Scholar
  43. Spulber, F. D. (2008). Innovation and international trade in technology. Journal of Economic Theory, 138(1), 1–20.CrossRefGoogle Scholar
  44. Stanford Report. (2004). Intellectual property the next big thing, Stanford Report, March 3. Stanford University.Google Scholar
  45. Thompson, P. (2006). Patent citations and the geography of knowledge spillovers: Evidence from inventor- and examiner-added citations. The Review of Economics and Statistics, 88(2), 383–388.CrossRefGoogle Scholar
  46. WIPO. (2004). Intellectual property: A power tool for economic growth. World Intellectual Property Organization.Google Scholar
  47. Wolf, H. C. (2000). Intra-national home bias in trade. Review of Economics and Statistics, 82(4), 555–563.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  1. 1.Department of EconomicsUniversity of PiraeusPiraeusGreece

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