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Economic structure, technology diffusion and convergence - the case of the Italian regions

  • Matteo Lanzafame

    ()

Over the years, Italy’s regional disparities have been the object of much investigation in the literature. Recent evidence points to a revival of the convergence process, which had come to a halt in the mid-1970s, and renews the interest in the subject. This paper aims at contributing to the debate. Endorsing the critiques of the neoclassical assumption of technology as a public good, we investigate the link between economies’ structural characteristics and their growth performance. Specifically, treating technology as sector-specific and modelling technological spillovers as a positive function of the degree of similarity between economies’ sectoral features, a modified version of the Solow model is put forward and used to derive an “extended” convergence equation. The latter is then estimated by means of Panel Data procedures and data on the Italian regions over the 1970-1995 period. The results bring empirical support to our approach. From a theoretical viewpoint, our model suggests that the effects of technology diffusion on the convergence process are twofold. Firstly, if technological progress is partly dependent on external innovations, the temporal evolution of each economy’s productivity level, and its speed of convergence to the steady state value, cannot be ascribed solely to the existence of diminishing returns to capital, as suggested by Neoclassical Growth Theory, but is affected by technology diffusion as well. The difficulty in disentangling the effects of the two factors on the convergence rate remains, but the “extended” convergence equation arrived at reveals that the size of technological spillovers will have a level effect on productivity. Secondly, treating technological progress as sector dependent, our model implies potential steady-state growth rate heterogeneity. Thus, the estimated convergence rate can be ascribed to the concept of “Weak Conditional Convergence” [Islam (2003)], with each economy converging to its own steady state growth rate, which is more likely to be different from the others the more diverse the steady state production structures. These arguments lend support to the concept of “Club Convergence”.

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Paper provided by European Regional Science Association in its series ERSA conference papers with number ersa05p323.

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Date of creation: Aug 2005
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Handle: RePEc:wiw:wiwrsa:ersa05p323
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  1. Judson, Ruth A. & Owen, Ann L., 1999. "Estimating dynamic panel data models: a guide for macroeconomists," Economics Letters, Elsevier, vol. 65(1), pages 9-15, October.
  2. Mankiw, N Gregory & Romer, David & Weil, David N, 1992. "A Contribution to the Empirics of Economic Growth," The Quarterly Journal of Economics, MIT Press, vol. 107(2), pages 407-37, May.
  3. Islam, Nazrul, 1995. "Growth Empirics: A Panel Data Approach," The Quarterly Journal of Economics, MIT Press, vol. 110(4), pages 1127-70, November.
  4. Nelson, Richard R, 1981. "Research on Productivity Growth and Productivity Differences: Dead Ends and New Departures," Journal of Economic Literature, American Economic Association, vol. 19(3), pages 1029-64, September.
  5. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-26, November.
  6. Xavier Sala-i-Martin, 1994. "Regional cohesion: Evidence and theories of regional growth and convergence," Economics Working Papers 104, Department of Economics and Business, Universitat Pompeu Fabra.
  7. Marinella Terrasi, 1999. "Convergence and divergence across Italian regions," The Annals of Regional Science, Springer, vol. 33(4), pages 491-510.
  8. Fagerberg, Jan, 2000. "Technological progress, structural change and productivity growth: a comparative study," Structural Change and Economic Dynamics, Elsevier, vol. 11(4), pages 393-411, December.
  9. Nazrul Islam, 1998. "Growth Empirics: A Panel Data Approach- A Reply," The Quarterly Journal of Economics, MIT Press, vol. 113(1), pages 325-329, February.
  10. Paci, Raffaele & Pigliaru, Francesco, 1997. "Structural change and convergence: an Italian regional perspective," Structural Change and Economic Dynamics, Elsevier, vol. 8(3), pages 297-318, August.
  11. Pesaran, M. Hashem & Smith, Ron, 1995. "Estimating long-run relationships from dynamic heterogeneous panels," Journal of Econometrics, Elsevier, vol. 68(1), pages 79-113, July.
  12. Nazrul Islam, 2003. "What have We Learnt from the Convergence Debate?," Journal of Economic Surveys, Wiley Blackwell, vol. 17(3), pages 309-362, 07.
  13. Fingleton, B & McCombie, J S L, 1998. "Increasing Returns and Economic Growth: Some Evidence for Manufacturing from the European Union Regions," Oxford Economic Papers, Oxford University Press, vol. 50(1), pages 89-105, January.
  14. Kevin Lee & M. Hashem Pesaran & Ron Smith, 1996. "Growth and Convergence in a Multi-Country Empirical Stochastic Solow Model," Working Papers 9637, Economic Research Forum, revised Dec 1996.
  15. Arellano, Manuel & Bond, Stephen, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Wiley Blackwell, vol. 58(2), pages 277-97, April.
  16. M Arellano & O Bover, 1990. "Another Look at the Instrumental Variable Estimation of Error-Components Models," CEP Discussion Papers dp0007, Centre for Economic Performance, LSE.
  17. Abramovitz, Moses, 1986. "Catching Up, Forging Ahead, and Falling Behind," The Journal of Economic History, Cambridge University Press, vol. 46(02), pages 385-406, June.
  18. K.H. Midelfart & H.G. Overman & S.J. Redding & A.J. Venables, 2000. "The location of European industry," European Economy - Economic Papers 142, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
  19. Raffaele Paci & Francesco Pigliaru, 1999. "Growth and sectoral dynamics in the Italian regions," Chapters, in: Economic Growth and Change, chapter 12 Edward Elgar.
  20. Kiviet, Jan F., 1995. "On bias, inconsistency, and efficiency of various estimators in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 68(1), pages 53-78, July.
  21. Gaetano Carmeci & Luciano Mauro, 2002. "TheConvergence of the Italian Regions and Unemployment: Theory and Evidence," Journal of Regional Science, Wiley Blackwell, vol. 42(3), pages 509-532.
  22. Maurseth, Per Botolf, 2001. "Convergence, geography and technology," Structural Change and Economic Dynamics, Elsevier, vol. 12(3), pages 247-276, September.
  23. Sergio Rey & Brett Montouri, 1999. "US Regional Income Convergence: A Spatial Econometric Perspective," Regional Studies, Taylor & Francis Journals, vol. 33(2), pages 143-156.
  24. Jonathan Temple, 1999. "The New Growth Evidence," Journal of Economic Literature, American Economic Association, vol. 37(1), pages 112-156, March.
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