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Measuring Economic Localization: Evidence from Japanese firm-level data

  • NAKAJIMA Kentaro
  • SAITO Yukiko
  • UESUGI Iichiro

This paper examines the extent of localization in Japan's manufacturing sector using a unique firm-level dataset on the geographic location of firms. Following the point-pattern approach proposed by Duranton and Overman (2005), we find the following. First, approximately half of Japan's manufacturing industries can be classified as localized and the number of localized industries is largest for a distance of 40 km or less. Second, several industries in the textile mill products sector are among the most localized, which is similar to findings for the UK. This suggests that there exist common factors across countries that determine the concentration of industrial activities. Third, the distribution of distances between entrant (exiting) firms and remaining firms is, in most industries, not significantly different from a random distribution. The results by Durantan and Overman (2008) for the UK and our results for Japan suggest that most industries neither become more localized nor more dispersed over time.

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Paper provided by Research Institute of Economy, Trade and Industry (RIETI) in its series Discussion papers with number 10030.

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Length: 26 pages
Date of creation: Jun 2010
Date of revision:
Handle: RePEc:eti:dpaper:10030
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  1. Duranton, Gilles & Puga, Diego, 2004. "Micro-foundations of urban agglomeration economies," Handbook of Regional and Urban Economics, in: J. V. Henderson & J. F. Thisse (ed.), Handbook of Regional and Urban Economics, edition 1, volume 4, chapter 48, pages 2063-2117 Elsevier.
  2. Devereux, Michael P. & Griffith, Rachel & Simpson, Helen, 2004. "The geographic distribution of production activity in the UK," Regional Science and Urban Economics, Elsevier, vol. 34(5), pages 533-564, September.
  3. Gilles Duranton & Henry G Overman, 2006. "Exploring the Detailed Location Patterns of UK Manufacturing Industries using Microgeographic Data," Working Papers tecipa-248, University of Toronto, Department of Economics.
  4. Wagner, Alfred, 1891. "Marshall's Principles of Economics," History of Economic Thought Articles, McMaster University Archive for the History of Economic Thought, vol. 5, pages 319-338.
  5. Ellison, Glenn & Glaeser, Edward L, 1997. "Geographic Concentration in U.S. Manufacturing Industries: A Dartboard Approach," Journal of Political Economy, University of Chicago Press, vol. 105(5), pages 889-927, October.
  6. Gilles Duranton & Henry G. Overman, 2005. "Testing for Localization Using Micro-Geographic Data," Review of Economic Studies, Oxford University Press, vol. 72(4), pages 1077-1106.
  7. Tomoya Mori & Koji Nishikimi & Tony E. Smith, 2004. "A Divergence Statistic for Industrial Localization," KIER Working Papers 587, Kyoto University, Institute of Economic Research.
  8. Rosenthal, Stuart S. & Strange, William C., 2001. "The Determinants of Agglomeration," Journal of Urban Economics, Elsevier, vol. 50(2), pages 191-229, September.
  9. Guy Dumais & Glenn Ellison & Edward Glaeser, 1997. "Geographic Concentration as a Dynamic Process," NBER Working Papers 6270, National Bureau of Economic Research, Inc.
  10. Eric Marcon & Florence Puech, 2003. "Evaluating the geographic concentration of industries using distance-based methods," Journal of Economic Geography, Oxford University Press, vol. 3(4), pages 409-428, October.
  11. Eric Marcon & Florence Puech, 2010. "Measures of the geographic concentration of industries: improving distance-based methods," Journal of Economic Geography, Oxford University Press, vol. 10(5), pages 745-762, September.
  12. Glenn Ellison & Edward L. Glaeser & William R. Kerr, 2007. "What Causes Industry Agglomeration? Evidence from Coagglomeration Patterns," Harvard Business School Working Papers 07-064, Harvard Business School.
  13. Maurel, Francoise & Sedillot, Beatrice, 1999. "A measure of the geographic concentration in french manufacturing industries," Regional Science and Urban Economics, Elsevier, vol. 29(5), pages 575-604, September.
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