IDEAS home Printed from https://ideas.repec.org/a/jda/journl/vol.52year2018issue1pp1-14.html
   My bibliography  Save this article

Export-Led Growth In India:A Bounds Testing Approach

Author

Listed:
  • Abhinav Khemka
  • Temesgen Kifle
  • Bryan Morgan

    (The Abdul Latif Jameel Poverty Action Lab (JPAL), South Asia
    University of Queensland, Australia)

Abstract

Neoclassical economic theory suggests there is a positive relationship between economic growth and growth in exports. An increase in exports leads to an increase in income due to the multiplier effect of production. This paper examines whether the Export-Led Growth (ELG) hypothesis is valid for India. Though the existing literature on this field is extensive, the results are ambiguous. Past studies have suffered from various methodological drawbacks. Early studies were hampered by a lack of time series data. The next stage used OLS analysis and simply assumed causation rather than testing for it. A third stage of investigations tested for Granger causality using the standard tests which was not applicable due to the presence of cointegrated variables. Therefore this paper re-investigates the ELG hypothesis for India; taking advantage the longer time series now available, with annual data from 1980 to 2013, and using more sophisticated tests. The paper tests for the presence of a long run relationship between exports and economic growth using the more robust autoregressive distributive lag (ARDL) bounds test for cointegration developed by Pesaran et al. (2001). The paper then tests for causality between exports and GDP using the Todo and Yamamoto (1995) and Dolado Lutkepohl (1996) (TYDL) causality test. The advantage of the latter test is that it indicates the direction of causality. The results indicate that exports have no significant long run impact on economic growth. While in the long run the result exhibits no relationship between exports and economic growth, the short run model is highly significant. Furthermore, the results indicate that capital formation, imports, real exchange rate and terms of trade are significant and have an impact on economic growth in the long and short run. The short run dynamics further indicate that the Indian economy recovers from a shock is relatively quickly. In addition, the causality test results show that there is a significant unidirectional causal relationship from GDP to exports but no causality is found from exports to GDP. Thus, the results show no support for the ELG hypothesis and indicate that India has not directly benefited from the trade reforms implemented in 1991. The findings suggest that to improve and sustain long run economic growth the government should target policies that further enhance domestic demand and capital accumulation.

Suggested Citation

  • Abhinav Khemka & Temesgen Kifle & Bryan Morgan, 2018. "Export-Led Growth In India:A Bounds Testing Approach," Journal of Developing Areas, Tennessee State University, College of Business, vol. 52(1), pages 1-14, January-M.
  • Handle: RePEc:jda:journl:vol.52:year:2018:issue1:pp:1-14
    as

    Download full text from publisher

    File URL: https://muse.jhu.edu/article/676861
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Sasa OBRADOVIĆ & Nemanja LOJANICA, 2019. "Export-Led Growth: Evidence from Post-Communist Serbia," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 131-145, June.

    More about this item

    Keywords

    Exports; Economic Growth; India; ARDL model; Causality;
    All these keywords.

    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
    • F43 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Economic Growth of Open Economies

    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:jda:journl:vol.52:year:2018:issue1:pp:1-14. See general information about how to correct material in RePEc.

    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.

    We have no bibliographic references for this item. You can help adding them by using 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Abu N.M. Wahid (email available below). General contact details of provider: https://edirc.repec.org/data/cbtnsus.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.