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Is There Long Run Industrial Convergence in Europe?

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  • Rossana Galli

Abstract

This paper examines whether convergence is occurring at the industry level in 11 EU countries from 1960 to 1993. Both time series and non-parametric (σ-convergence) methods are applied. Using time series analysis we test whether there is within sector convergence towards a common steady state. Although we adopt a very flexible definition of steady state, allowing for two stochastic trends, given by the sector-specific technology and by the country-specific characteristics, as well as a time trend, we find very little evidence for convergence. Results indicate that the deviation of the national trends from the European average trend are persistent, and that EU countries do not respond to the same long run driving processes, but only to the same short run shocks. From σ-convergence analysis we find that convergence in aggregate productivity does not hold uniformly at the industry level: some sectors, such as communications, distribution and non-market services, present strong evidence of convergence, and some others, mainly manufactures, show substantial divergence. However, interestingly, we find that productivity was strongly converging within all sectors in 1960-73, whereas it shows a general tendency to diverge after 1985. We interpret the switch from convergence to divergence as the effect of a process of radical change, driven by information technologies, affecting all industries in the last two decades. We arrive at the general conclusion that convergence is not an inevitable process, but rather a cyclical phenomenon alternating with divergence.

Suggested Citation

  • Rossana Galli, 1997. "Is There Long Run Industrial Convergence in Europe?," International Review of Applied Economics, Taylor & Francis Journals, vol. 11(3), pages 333-368.
  • Handle: RePEc:taf:irapec:v:11:y:1997:i:3:p:333-368
    DOI: 10.1080/02692179700000023
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    References listed on IDEAS

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    1. Lee, K. & Psaran, M.H. & Smith, R., 1995. "Growth and Convergence: A Multi-Country Empirical Analysis of the Solow Growth Model," Cambridge Working Papers in Economics 9531, Faculty of Economics, University of Cambridge.
    2. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    3. Giovanni Dosi & Christopher Freeman & Richard Nelson & Gerarld Silverberg & Luc Soete (ed.), 1988. "Technical Change and Economic Theory," LEM Book Series, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy, number dosietal-1988, March.
    4. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
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    Cited by:

    1. Jean-Philippe Boussemart & Walter Briec & Christophe Tavera, 2011. "More evidence on technological catching-up in the manufacturing sector," Applied Economics, Taylor & Francis Journals, vol. 43(18), pages 2321-2330.
    2. Gerhard Palme, 1998. "Auswirkungen der EU-Osterweiterung auf die österreichische Sachgüterproduktion. Ostöffnungseffekte beleben österreichische Industrie," WIFO Monatsberichte (monthly reports), WIFO, vol. 71(11), pages 761-769, November.
    3. David Sondermann, 2014. "Productivity in the euro area: any evidence of convergence?," Empirical Economics, Springer, vol. 47(3), pages 999-1027, November.
    4. Efthymios Tsionas, 2000. "Regional Growth and Convergence: Evidence from the United States," Regional Studies, Taylor & Francis Journals, vol. 34(3), pages 231-238.
    5. Gerhard Palme, 1999. "Impacts of an EU Eastern Enlargement on Austria's Manufacturing. Eastern Opening Stimulates the Austrian Industry," Austrian Economic Quarterly, WIFO, vol. 4(1), pages 65-74, January.

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