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Assessing agglomeration economies in the Yangzi River Delta, China : a bayesian spatial econometric approach

  • Hashiguchi, Yoshihiro
  • Chen, Kuang-hui

This paper estimates the elasticity of labor productivity with respect to employment density, a widely used measure of the agglomeration effect, in the Yangtze River Delta, China. A spatial Durbin model is presented that makes explicit the influences of spatial dependence and endogeneity bias in a very simple way. Results of Bayesian estimation using the data of the year 2009 indicate that the productivity is influenced by factors correlated with density rather than density itself and that spatial spillovers of these factors of agglomeration play a significant role. They are consistent with the findings of Ke (2010) and Artis, et al. (2011) that suggest the importance of taking into account spatial dependence and hitherto omitted variables.

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File URL: http://ir.ide.go.jp/dspace/bitstream/2344/1126/3/ARRIDE_Discussion_No.339_hashiguchi.pdf
File Function: First version, 2012
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Paper provided by Institute of Developing Economies, Japan External Trade Organization(JETRO) in its series IDE Discussion Papers with number 339.

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Date of creation: Mar 2012
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Publication status: Published in IDE Discussion Paper. No. 339. 2012.3
Handle: RePEc:jet:dpaper:dpaper339
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  1. Michael Artis & Ernest Miguélez & Rosina Moreno, 2009. "Assessing agglomeration economies in a spatial framework with endogenous regressors," LSE Research Online Documents on Economics 33239, London School of Economics and Political Science, LSE Library.
  2. Lourens Broersma & Jan Oosterhaven, 2009. "Regional Labor Productivity In The Netherlands: Evidence Of Agglomeration And Congestion Effects," Journal of Regional Science, Wiley Blackwell, vol. 49(3), pages 483-511.
  3. Ciccone, Antonio & Hall, Robert E, 1996. "Productivity and the Density of Economic Activity," American Economic Review, American Economic Association, vol. 86(1), pages 54-70, March.
  4. Kelejian, Harry H & Prucha, Ingmar R, 1998. "A Generalized Spatial Two-Stage Least Squares Procedure for Estimating a Spatial Autoregressive Model with Autoregressive Disturbances," The Journal of Real Estate Finance and Economics, Springer, vol. 17(1), pages 99-121, July.
  5. Diego Puga, 2010. "The Magnitude And Causes Of Agglomeration Economies," Journal of Regional Science, Wiley Blackwell, vol. 50(1), pages 203-219.
  6. Brülhart, Marius & Mathys, Nicole A., 2008. "Sectoral agglomeration economies in a panel of European regions," Regional Science and Urban Economics, Elsevier, vol. 38(4), pages 348-362, July.
  7. Randall W. Eberts & Daniel P. McMillen, 1999. "Agglomeration Economies and Urban Public Infrastructure," Book chapters authored by Upjohn Institute researchers, in: Paul Cheshire & Edwin S. Mills (ed.), handbook or Regional and Urban Economics, volume 3, pages 1455-1495 W.E. Upjohn Institute for Employment Research.
  8. Shanzi Ke, 2010. "Agglomeration, productivity, and spatial spillovers across Chinese cities," The Annals of Regional Science, Springer, vol. 45(1), pages 157-179, August.
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