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Ghana's Economic Growth in perspective: A time series approach to Convergence and Growth Determinants

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  • Baafi Antwi, Joseph

Abstract

Economic growth around the world has not been equal for a long time. Some economics grow faster while others grow slower. But economists have predicted that the slower growing economics will eventually converge with the faster growing economy as some point in the future. This is known as the convergence hypothesis. In this study, we test this hypothesis for Ghana and the Western Europeans countries with UK been a proxy for these countries, using time series data to determine whether or not it holds. We determine how fast or slow this convergence process is by using the returns to scale concept on Ghana’s economy and latter account for factor that determines economic growth in sectors. The study supported the null hypothesis of convergence i.e. Ghana is catching up with the Western European countries. The study also shown that Ghana growth accounting exhibit decreasing returns meaning convergence is relatively slow and also signifies that Ghana is not on a balanced growth path (this refers to the simultaneous, coordinated expansion of several sectors of the economy). The study showed a negative relationship between GDP and labour both in the long run and short run relationship. Again the study showed a positive relationship between GDP and capital, Agric and Industrial sector. Lastly, the study showed a negative relationship between GDP and AID and Service in the long run and positive relationship in the short run.

Suggested Citation

  • Baafi Antwi, Joseph, 2010. "Ghana's Economic Growth in perspective: A time series approach to Convergence and Growth Determinants," MPRA Paper 23455, University Library of Munich, Germany, revised 12 Jun 2010.
  • Handle: RePEc:pra:mprapa:23455
    as

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    File URL: https://mpra.ub.uni-muenchen.de/23455/1/MPRA_paper_23455.pdf
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    References listed on IDEAS

    as
    1. Sala-i-Martin, Xavier X, 1996. "The Classical Approach to Convergence Analysis," Economic Journal, Royal Economic Society, vol. 106(437), pages 1019-1036, July.
    2. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    3. De Siano, Rita & D'Uva, Marcella, 2009. "Regional convergence in Italy: time series approaches," MPRA Paper 20397, University Library of Munich, Germany.
    4. Rebelo, Sergio, 1991. "Long-Run Policy Analysis and Long-Run Growth," Journal of Political Economy, University of Chicago Press, vol. 99(3), pages 500-521, June.
    5. N. Gregory Mankiw & David Romer & David N. Weil, 1992. "A Contribution to the Empirics of Economic Growth," The Quarterly Journal of Economics, Oxford University Press, vol. 107(2), pages 407-437.
    6. Stock, James H & Watson, Mark W, 1993. "A Simple Estimator of Cointegrating Vectors in Higher Order Integrated Systems," Econometrica, Econometric Society, vol. 61(4), pages 783-820, July.
    7. Manuel Gomez & Daniel Ventosa-Santaularia, 2007. "Trade Liberalization and Regional Income Convergence in Mexico: a Time-Series Analysis," Department of Economics and Finance Working Papers EM200702, Universidad de Guanajuato, Department of Economics and Finance.
    8. Robert Dekle & Guillaume Vandenbroucke, 2010. "Whither Chinese Growth? A Sectoral Growth Accounting Approach," Review of Development Economics, Wiley Blackwell, vol. 14(s1), pages 487-498, August.
    9. Ranjpour Reza & Karimi Takanlou Zahra, 2008. "Evaluation of the Income Convergence Hypothesis in Ten New Members of the European Union. A Panel Unit Root Approach," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 55(2), pages 157-166, June.
    10. Jonathan Temple, 1999. "The New Growth Evidence," Journal of Economic Literature, American Economic Association, vol. 37(1), pages 112-156, March.
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    More about this item

    Keywords

    Convergence; Economic Growth; Time series;

    JEL classification:

    • 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
    • O41 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • O4 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity

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