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Heterogeneous technology and the technological catching-up hypothesis: Theory and assessment in the case of MENA countries

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  • Serranito, Francisco

Abstract

Long run convergence implies that the convergence hypothesis will be rejected if the income differential is not stationary. However, this definition is valid only if the catching-up process between the two countries is already over. If we take into account catching-up dynamics, then poorest countries should obtain a faster growth than developed countries. Thus, income gaps should integrate decreasing time trends. We formalise this hypothesis theoretically using a stochastic neoclassical growth model with heterogeneous technology. We then apply this model to the issue of per-capita GDP catching-up of eight MENA countries towards the level of income in Europe. We approximate the nonlinear deterministic trend by a linear function with breaks and apply panel unit root tests with breaks. The analysis reveals firstly that the periods of divergence outnumber the periods of convergence. Secondly, since the year 2000 all countries but Syria have been converging toward the European per-capita income level.

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  • Serranito, Francisco, 2013. "Heterogeneous technology and the technological catching-up hypothesis: Theory and assessment in the case of MENA countries," Economic Modelling, Elsevier, vol. 30(C), pages 685-697.
  • Handle: RePEc:eee:ecmode:v:30:y:2013:i:c:p:685-697
    DOI: 10.1016/j.econmod.2012.09.037
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    2. Issa, Samah & Girardone, Claudia & Snaith, Stuart, 2022. "Banking competition, convergence and growth across macro-regions of MENA," The Quarterly Review of Economics and Finance, Elsevier, vol. 84(C), pages 534-549.
    3. Allah Morad Seif & Hossein Panahi & Davoud Hamidi Razi, 2017. "Regional Economic Growth and Spatial Spillover Effects in MENA Area," Iranian Economic Review (IER), Faculty of Economics,University of Tehran.Tehran,Iran, vol. 21(4), pages 765-787, Autumn.

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    More about this item

    Keywords

    Per-capita income convergence; Catching-up; Stochastic growth; Technological diffusion function; Panel unit root with breaks;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • D90 - Microeconomics - - Micro-Based Behavioral Economics - - - General
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General
    • 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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