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An International Comparison of Technology Adoption and Efficiency: A Dynamic Panel Model

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  • Patrick T. Hultberg
  • M. Ishaq Nadiri
  • Robin C. Sickles

Abstract

We propose a dynamic model that estends the neoclassical growth model by including technology diffusion and possible inefficiency caused by institutional rigidities. We use alternative panel data methods to estimate the model for three regions: Europe, Latin America and East Asia. Our results strongly indicate that the technology gap to the leader nation is a significant source of growth, but that regions differ in their absorption capability. In addition, countries show large heterogeneity. When combining the country-specific effects with regional absorption capabilities, we obtain robust "efficiency" results for each country. The estimated efficiency levels are consistent with common beliefs and significantly explained by institutional variables such as bureaucratic efficiency and political and civil rights.

Suggested Citation

  • Patrick T. Hultberg & M. Ishaq Nadiri & Robin C. Sickles, 1999. "An International Comparison of Technology Adoption and Efficiency: A Dynamic Panel Model," Annals of Economics and Statistics, GENES, issue 55-56, pages 449-474.
    • Handle: RePEc:adr:anecst:y:1999:i:55-56:p:449-474
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    Cited by:

    1. Robin C. Sickles & Jiaqi Hao & Chenjun Shang, 2014. "Panel data and productivity measurement: an analysis of Asian productivity trends," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 12(3), pages 211-231, August.
    2. Dimitris Margaritis & Rolf Färe & Shawna Grosskopf, 2007. "Productivity, convergence and policy: a study of OECD countries and industries," Journal of Productivity Analysis, Springer, vol. 28(1), pages 87-105, October.
    3. Maria Abreu & Henri L. F. de Groot & Raymond J. G. M. Florax, 2005. "A Meta‐Analysis of β‐Convergence: the Legendary 2%," Journal of Economic Surveys, Wiley Blackwell, vol. 19(3), pages 389-420, July.
    4. Sickles, Robin C. & Hao, Jiaqi & Shang, Chenjun, 2015. "Panel Data and Productivity Measurement," Working Papers 15-018, Rice University, Department of Economics.
    5. Oleg Badunenko & Daniel J. Henderson & Valentin Zelenyuk, 2017. "The Productivity of Nations," Working Papers in Economics & Finance 2017-05, University of Portsmouth, Portsmouth Business School, Economics and Finance Subject Group.
    6. Barnabé Walheer, 2016. "Multi-Sector Nonparametric Production-Frontier Analysis of the Economic Growth and the Convergence of the European Countries," Pacific Economic Review, Wiley Blackwell, vol. 21(4), pages 498-524, October.
    7. Boussemart, Jean-Philippe & Briec, Walter & Cadoret, Isablelle & Tavera, Christophe, 2006. "A re-examination of the technological catching-up hypothesis across OECD industries," Economic Modelling, Elsevier, vol. 23(6), pages 967-977, December.
    8. Aditi Bhattacharyya, 2012. "Adjustment of inputs and measurement of technical efficiency: A dynamic panel data analysis of the Egyptian manufacturing sectors," Empirical Economics, Springer, vol. 42(3), pages 863-880, June.
    9. Robin Sickles & David Good & Lullit Getachew, 2002. "Specification of Distance Functions Using Semi- and Nonparametric Methods with an Application to the Dynamic Performance of Eastern and Western European Air Carriers," Journal of Productivity Analysis, Springer, vol. 17(1), pages 133-155, January.
    10. Ana Lozano-Vivas & Jesús Pastor, 2006. "Relating Macro-economic Efficiency to Financial Efficiency: A Comparison of Fifteen OECD Countries Over an Eighteen Year Period," Journal of Productivity Analysis, Springer, vol. 25(1), pages 67-78, April.

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