IDEAS home Printed from https://ideas.repec.org/a/sae/jfasei/v8y2026i1p98-113.html

Long and Short-run Reconciliation Between External Debt and Economic Growth: An Empirical Evidence from India

Author

Listed:
  • Swati Kaushik
  • Kiran Lamba

Abstract

The economic prosperity of an economy depends upon several micro and macroeconomic variables. Every economy lacks some economic resources. Whenever the economy needs such resources, it can fill the gap by taking aid from external sources, in the form of external debt. However, it is still debatable whether external debt affects economic growth positively or negatively. Some studies find a positive relation between external debt and economic growth, whereas others find a negative one. The present study deals with this question in the case of the Indian economy. Based on external debt data from 1991 to 2021 and an autoregressive distributed lag (ARDL) cointegration model, this study has made an attempt to analyse the relationship between external debt and economic growth. The study has found that a long-run equilibrium relationship exists between them. External debt negatively affects economic growth in the short run but has an insignificant effect in the long run. In contrast, other variables like human skills and investment have a significant positive effect. Population growth harms economic growth. In the long run, the disequilibrium caused by some short-run fluctuations is adjusted by a 72% rate every year through an error correction mechanism. JEL Classification: C32, F34, F35

Suggested Citation

  • Swati Kaushik & Kiran Lamba, 2026. "Long and Short-run Reconciliation Between External Debt and Economic Growth: An Empirical Evidence from India," Journal of Asian Economic Integration, , vol. 8(1), pages 98-113, April.
  • Handle: RePEc:sae:jfasei:v:8:y:2026:i:1:p:98-113
    DOI: 10.1177/26316846261426756
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/26316846261426756
    Download Restriction: no

    File URL: https://libkey.io/10.1177/26316846261426756?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    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
    • F34 - International Economics - - International Finance - - - International Lending and Debt Problems
    • F35 - International Economics - - International Finance - - - Foreign Aid

    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:sae:jfasei:v:8:y:2026:i:1:p:98-113. 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: SAGE Publications (email available below). General contact details of provider: .

    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.