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Going clubbing in the eighties: convergence in manufacturing sectors at a glance

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  • Silvia Dal Bianco

    (Economics, London Metropolitan University)

Abstract

This paper employs the distribution dynamics framework for assessing labour productivity convergence, in the period 1980–1995, among 28 developed and developing countries, in different manufacturing compartments, identified as according to their research and development intensity. Three competing hypotheses are considered: absolute, conditional and club convergence. The key result of the analysis is twofold. First, consistently with very recent evidence, absolute convergence is found in manufacturing as a whole. Second, convergence tendencies are sector specific. In particular, club convergence characterizes traditional and medium- technology compartments, while the absolute one qualifies high-tech productions. Overall, these findings support the view that cross-country labour productivity convergence might be hindered by the sub-optimal structural reallocation from nonconvergence to convergence activities. Moreover, as the clustering dynamics in traditional and medium-tech sectors is related either to physical capital stock or technological development, laggard economies should purse ad hoc catching-up strategies. Finally, the result of high tech provides supportive evidence for the theory of dynamic comparative advantages. Thus, it seems desirable that emerging countries enter into technology-intense markets and that they develop the necessary capabilities for exploiting such endogenous advantages.

Suggested Citation

  • Silvia Dal Bianco, 2016. "Going clubbing in the eighties: convergence in manufacturing sectors at a glance," Empirical Economics, Springer, vol. 50(2), pages 623-659, March.
  • Handle: RePEc:spr:empeco:v:50:y:2016:i:2:d:10.1007_s00181-015-0940-0
    DOI: 10.1007/s00181-015-0940-0
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    9. Carlos Mendez, 2019. "Lack of Global Convergence and the Formation of Multiple Welfare Clubs across Countries: An Unsupervised Machine Learning Approach," Economies, MDPI, vol. 7(3), pages 1-17, July.
    10. Carlos Mendez, 2020. "Regional efficiency convergence and efficiency clusters," Asia-Pacific Journal of Regional Science, Springer, vol. 4(2), pages 391-411, June.
    11. Chunyan Lin & Wen Qiao, 2022. "Statistical Measurements and Club Effects of High-Quality Development in Chinese Manufacturing," IJERPH, MDPI, vol. 19(23), pages 1-22, December.
    12. Mendez-Guerra, Carlos, 2018. "Beta, Sigma and Distributional Convergence in Human Development? Evidence from the Metropolitan Regions of Bolivia," MPRA Paper 87627, University Library of Munich, Germany.
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    More about this item

    Keywords

    Convergence; Clustering; Manufacturing industries; Distribution dynamics;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

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