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Relative Winners and Losers from Efficiency Spillovers in Africa with Policy Implications for Regional Integration

Author

Listed:
  • Glass, Anthony J.

    (Loughborough University)

  • Kenjegalieva, Karligash

    (Loughborough University)

  • Ajayi, Victor

    (Loughborough University)

  • Adetutu, Morakinyo

    (Nottingham Trent University)

  • Sickles, Robin C.

    (Rice University and Loughborough University)

Abstract

Studies that have analyzed the efficiency of developing countries have estimated non-spatial frontier models. We extend this approach by accounting for spatial dependence among African countries. In particular, we estimate a spatial Durbin stochastic production frontier model. We also make novel use of the efficiency scores from our spatial model to suggest a direction for regional integration policy for Africa that policy makers can consider. A previous suggestion to promote regional integration in Southern Africa has been to use South Africa as a regional integration hub and to encourage other countries in the region to improve economic links with the hub. We continue with this line of enquiry and although we conclude that there are currently no African countries that are ideal candidates to be a regional integration hub, we suggest three other countries that policy makers may consider using as hubs in the future. We therefore suggest that it would be prudent to consider implementing policies to expedite the readiness of these countries to act as integration hubs.

Suggested Citation

  • Glass, Anthony J. & Kenjegalieva, Karligash & Ajayi, Victor & Adetutu, Morakinyo & Sickles, Robin C., 2016. "Relative Winners and Losers from Efficiency Spillovers in Africa with Policy Implications for Regional Integration," Working Papers 16-003, Rice University, Department of Economics.
  • Handle: RePEc:ecl:riceco:16-003
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    Cited by:

    1. Federico Belotti & Giuseppe Ilardi & Andrea Piano Mortari, 2019. "Estimation of Stochastic Frontier Panel Data Models with Spatial Inefficiency," CEIS Research Paper 459, Tor Vergata University, CEIS, revised 30 May 2019.

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    More about this item

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • O19 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - International Linkages to Development; Role of International Organizations
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • O55 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Africa

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