Author
Listed:
- Md Badrul Alam
- Muhammad Tahir
- Norulazidah Omar Ali
Abstract
Purpose - This paper makes a novel attempt to estimate the potential impact of credit risk on foreign direct investment (FDI hereafter), thereby focusing on a completely unexplored area in the existing empirical literature. Design/methodology/approach - To provide a comprehensive understanding of the relationship between credit risk and FDI inflows, the study incorporates all the eight-member economies of the South Asian Association of Regional Cooperation (SAARC hereafter) and analyzes a panel data set, over the period 2011 to 2019, extracted from the World Development Indicators, using the suitable econometric techniques for the efficient estimations of the specified models. Findings - The results indicate a negative and statistically significant relationship between the credit risk of the banking sectors and FDI inflows. Similarly, market size and inflation rate appear to be the two other main factors behind the increasing FDI inflows in the SAARC member economies. Interestingly, the size of the market became irrelevant in attracting FDI inflows when the Indian economy is excluded from the sample due to its higher economic weight. On the other hand, FDI inflows are not dependent on the level of trade openness, with most of the specifications showing either an insignificant or negative coefficient of the variable. Practical implications - The obtained results are unique and robust to alternative methodologies, and hence, the SAARC economies could consider them as the critical inputs in formulating the appropriate policies on FDI inflows. Originality/value - The findings are unique and original. The authors have established a relationship between credit risk and FDI for the first time in the SAARC context.
Suggested Citation
Md Badrul Alam & Muhammad Tahir & Norulazidah Omar Ali, 2023.
"Do credit risks deter FDI? Empirical evidence from the SAARC countries,"
Journal of Economics, Finance and Administrative Science, Emerald Group Publishing Limited, vol. 29(57), pages 42-56, November.
Handle:
RePEc:eme:jefasp:jefas-09-2021-0191
DOI: 10.1108/JEFAS-09-2021-0191
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JEL classification:
- C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
- F37 - International Economics - - International Finance - - - International Finance Forecasting and Simulation: Models and Applications
- G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
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