EconPapers    
Economics at your fingertips  
 

Workers' remittances and economic growth: new evidence from an ARDL bounds cointegration approach for Sri Lanka

Ahamed Lebbe Mohamed Aslam and Mohamed Cassim Alibuhtto

Journal of Economic and Administrative Sciences, 2023, vol. 41, issue 2, 825-843

Abstract: Purpose - The objective of this study is to examine the long-run relationship between workers' remittances and economic growth in Sri Lanka using time series data spanning 1975–2021. Design/methodology/approach - This study employed both exploratory data analysis (EDA) and inferential data analysis (IDA) tools. EDA includes the scatter plots, confidence ellipse with Kernel fit, whereas IDA covers unit root test, the autoregressive distributed lag (ARDL) bounds technique, the Granger's causality test, and impulse response function (IRF) analysis. Findings - EDA confirms that workers' remittances have a positive relationship with per-capita gross domestic product (GDP). All variables used in this study are I(1). This study is exhibited that workers' remittances have a positive long-run relationship with per-capita GDP. The estimated coefficient of the error correction term shows that the dependent variable moves towards the long-run equilibrium path. Workers' remittances have a short-run and long-run causal relationship with per-capita GDP. The IRF analysis indicates that a one standard deviation shock to workers' remittances has initially an immediate significant positive impact on economic growth. Practical implications - This study provides insights into workers' remittances in economic growth in Sri Lanka. Further, the findings of this study also provide evidence that workers' remittances increase economic growth. Originality/value - Using ARDL bounds test, Granger's Causality test and IRF analysis for examining the relationship between workers' remittances and economic growth are the originality of this study.

Keywords: ARDL bounds test; Economic growth; Granger causality test; IRF analysis; workers' remittances (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.emerald.com/insight/content/doi/10.110 ... d&utm_campaign=repec (text/html)
https://www.emerald.com/insight/content/doi/10.110 ... d&utm_campaign=repec (application/pdf)
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eme:jeaspp:jeas-05-2022-0132

DOI: 10.1108/JEAS-05-2022-0132

Access Statistics for this article

Journal of Economic and Administrative Sciences is currently edited by Associate Professor Ghulam A Arain and Dr Rebecca Abraham

More articles in Journal of Economic and Administrative Sciences from Emerald Group Publishing Limited
Bibliographic data for series maintained by Emerald Support ().

 
Page updated 2025-05-31
Handle: RePEc:eme:jeaspp:jeas-05-2022-0132