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Industrial diversity in patterns of productivity convergence and trade specialisation

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  • Stehrer, Robert
  • Wörz, Julia

Abstract

Trade specialisation according to current comparative advantage need not necessarily be an optimal development strategy in a long-run dynamic setting. Given the possibility of aquiring omparative advantages in industries where a country is not competitive initially (i.e. through policy intervention, learning by doing, knowledge and/or technology spillovers), we argue that ountries should try to enter high tech industries as early as possible. Based on the presence of stronger intra-industry versus weaker inter-industry spillovers, we want to test the hypothesis that countries which specialise in the lower end of the medium-high tech activites are rewarded by faster productivity increases also in the upper end of the high-tech industries. In contrast, early specialisation in less technology intensive branches yields positive spillovers mainly inside these sectors resulting in a lower long-run growth potential. We present econometric results including four industry segments for 37 countries over the time period 1981 to 1998. Our estimations confirm the hypothesis of an 'advantage of backwardness' at the branch level. Further, intra-branch spillovers were often significant while only few inter-branch effects were found. With respect to trade integration, the results were mixed, openness on the import side had positive effects in general, while openness on the export side spurred convergence only in less technology intensive industries. Besides these direct effects, only very few trade related inter-industry effects were found.

Suggested Citation

  • Stehrer, Robert & Wörz, Julia, 2003. "Industrial diversity in patterns of productivity convergence and trade specialisation," Conference papers 331076, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
  • Handle: RePEc:ags:pugtwp:331076
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    References listed on IDEAS

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    1. Dan Horsky, 1990. "A Diffusion Model Incorporating Product Benefits, Price, Income and Information," Marketing Science, INFORMS, vol. 9(4), pages 342-365.
    2. Glaister, Stephen, 1974. "Advertising Policy and Returns to Scale in Markets where Information is Passed Between Individuals," Economica, London School of Economics and Political Science, vol. 41(162), pages 139-156, May.
    3. Metcalfe, J S, 1970. "Diffusion of Innovation in the Lancashire Textile Industry," The Manchester School of Economic & Social Studies, University of Manchester, vol. 38(2), pages 145-162, June.
    4. K. J. Arrow, 1971. "The Economic Implications of Learning by Doing," Palgrave Macmillan Books, in: F. H. Hahn (ed.), Readings in the Theory of Growth, chapter 11, pages 131-149, Palgrave Macmillan.
    5. Dan Horsky & Leonard S. Simon, 1983. "Advertising and the Diffusion of New Products," Marketing Science, INFORMS, vol. 2(1), pages 1-17.
    6. Nelson, Richard R. & Sampat, Bhaven N., 2001. "Making sense of institutions as a factor shaping economic performance," Journal of Economic Behavior & Organization, Elsevier, vol. 44(1), pages 31-54, January.
    7. Bass, Frank M, 1980. "The Relationship between Diffusion Rates, Experience Curves, and Demand Elasticities for Consumer Durable Technological Innovations," The Journal of Business, University of Chicago Press, vol. 53(3), pages 51-67, July.
    8. Davies, Stephen W., 1979. "Inter-firm diffusion of process innovations," European Economic Review, Elsevier, vol. 12(4), pages 299-317, October.
    9. Cohen, Wesley M & Levinthal, Daniel A, 1989. "Innovation and Learning: The Two Faces of R&D," Economic Journal, Royal Economic Society, vol. 99(397), pages 569-596, September.
    10. Geoffrey M. Hodgson (ed.), 1993. "The Economics of Institutions," Books, Edward Elgar Publishing, number 557.
    11. Shlomo Kalish, 1985. "A New Product Adoption Model with Price, Advertising, and Uncertainty," Management Science, INFORMS, vol. 31(12), pages 1569-1585, December.
    Full references (including those not matched with items on IDEAS)

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