IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/5582.html
   My bibliography  Save this paper

Testing Export-led Growth Hypothesis in Kenya: An ADRL Bounds Test Approach

Author

Listed:
  • Mohan, Ramesh
  • Nandwa, Boaz

Abstract

Over the years, there has been extensive research on the relationship between a country’s export and economic growth with ambiguous and mixed results. Instead of using the conventional cointegration approach, this paper re-examines the export-led growth hypothesis for Kenya using autoregressive distributed lag (ADRL) bounds technique. This approach is capable of testing for the existence of a long-run relationship regardless of whether the underlying time series are individually I(1) or I(0). This enhances the stability and robustness of our results. In addition, we examine the Granger causality between exports and economic growth over the sample period. The results indicate that there exists a long-term relationship between GDP growth and exports, and it is unidirectional, running from exports to GDP growth. Hence, in the case of Kenya, export enhancing policies are recommended in promoting and sustaining economic growth.

Suggested Citation

  • Mohan, Ramesh & Nandwa, Boaz, 2007. "Testing Export-led Growth Hypothesis in Kenya: An ADRL Bounds Test Approach," MPRA Paper 5582, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:5582
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/5582/1/MPRA_paper_5582.pdf
    File Function: original version
    Download Restriction: no

    References listed on IDEAS

    as
    1. Judith Giles & Cara Williams, 2001. "Export-led growth: a survey of the empirical literature and some non-causality results. Part 2," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 9(4), pages 445-470.
    2. Bardsen, Gunnar, 1989. "Estimation of Long Run Coefficients in Error Correction Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 51(3), pages 345-350, August.
    3. Judith Giles & Cara Williams, 2001. "Export-led growth: a survey of the empirical literature and some non-causality results. Part 1," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 9(3), pages 261-337.
    4. Fosu, Augustin Kwasi, 1990. "Exports and economic growth: The African case," World Development, Elsevier, vol. 18(6), pages 831-835, June.
    5. Ahmad, Jaleel & Kwan, Andy C. C., 1991. "Causality between exports and economic growth : Empirical evidence from Africa," Economics Letters, Elsevier, vol. 37(3), pages 243-248, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Akmal, Muhammad Shahbaz & Ahmad, Khalil & Ali, Muhammad, 2009. "Exports-Led Growth Hypothesis in Pakistan: Further Evidence," MPRA Paper 16043, University Library of Munich, Germany.
    2. HOUNKPODOTE, Hilaire & BATIONO, Rakissiwindé, 2009. "Heterogeneite De La Causalite Entre Depenses Publiques Et Croissance Economique Dans Les Pays De L'Uemoa:Quelles Implications Pour La Coordination Des Politiques Budgetaires
      [Heterogeneity Of The C
      ," MPRA Paper 26027, University Library of Munich, Germany.

    More about this item

    Keywords

    Exports; economic growth and causality;

    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
    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:5582. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joachim Winter). General contact details of provider: http://edirc.repec.org/data/vfmunde.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.