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A Romerian contribution to the empirics of economic growth

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  • Bayraktar-Sağlam, Bahar
  • Yetkiner, Hakan

Abstract

Mankiw, Romer, and Weil (1992) made the Solovian set up widely used to test the determinants of economic growth and the speed of convergence. In accordance with the nature of the Solow framework, almost all empirical growth studies considered technological progress constant and identical across countries and over time, and hence underemphasized its role. In this study, in order to overcome this weakness, we propose that the Mankiw, Romer, and Weil (1992) set-up should be replaced by the Solovianized Romer (1990) framework, thus allowing the role of technology to be considered in the empirical analysis. In particular, within this framework, the growth rate of technology varies across economies and over time. We estimate the convergence equation derived from Solovianized Romer model for 31 OECD countries for the period 1980–2008 by applying the system GMM approach. The empirical findings of the model support the conditional convergence hypothesis, but reveal a lower convergence rate than that predicted by the existing literature. As a policy implication, we argue that, investment in R&D and human capital are important determinants of convergence, and in cases where economies are unable to allocate sufficient resources to R&D, policy makers should ease the diffusion of technology (e.g., via FDI or trade) in order to retain a high convergence rate.

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  • Bayraktar-Sağlam, Bahar & Yetkiner, Hakan, 2014. "A Romerian contribution to the empirics of economic growth," Journal of Policy Modeling, Elsevier, vol. 36(2), pages 257-272.
  • Handle: RePEc:eee:jpolmo:v:36:y:2014:i:2:p:257-272
    DOI: 10.1016/j.jpolmod.2014.01.001
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    Cited by:

    1. Das, Gouranga Gopal, 2015. "Why some countries are slow in acquiring new technologies? A model of trade-led diffusion and absorption," Journal of Policy Modeling, Elsevier, vol. 37(1), pages 65-91.
    2. repec:sos:sosjrn:170407 is not listed on IDEAS
    3. Ý. Hakan Yetkiner, 2012. "Defense Spending and Economic Growth:A Theoretical Manifestation for Empirical Studies," Working Papers 1202, Izmir University of Economics.
    4. Hosoya, Kei, 2016. "Recovery from natural disaster: A numerical investigation based on the convergence approach," Economic Modelling, Elsevier, vol. 55(C), pages 410-420.
    5. Aamer S. Abu-Qarn, 2016. "A Reassessment Of The Proximate Determinants Of Income Levels And Growth Of Nations," Working Papers 1609, Ben-Gurion University of the Negev, Department of Economics.

    More about this item

    Keywords

    Convergence; Technological change; Endogenous human capital; Diffusion of technology;

    JEL classification:

    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - 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
    • O50 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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