The Effect of Foreign Direct Investment on Economic Growth in South Asian Countries

This study investigates the impact of Foreign Direct Investment (FDI) on economic growth in South Asian countries, utilizing annual panel data from five SAARC member states (Bangladesh, India, Nepal, Pakistan, and Sri Lanka) over the period 1980-2017. Data sourced from the World Development Indicators and Penn World Table were analyzed using static panel models, including Ordinary Least Squares, Fixed Effects, Random Effects, and Generalized Least Squares regressions. The empirical findings reveal that FDI exhibits a consistently positive but statistically insignificant correlation with economic growth across all model specifications. In contrast, domestic investment and human capital development emerge as significant and robust positive determinants of growth. Control variables such as government consumption and inflation show expected negative, though generally insignificant, associations with growth. The results imply that for the sampled South Asian economies, enhancing domestic investment and fostering human capital are more critical for driving economic expansion than relying on FDI inflows. Consequently, policymakers should prioritize strategies that strengthen local investment climates and improve educational and skill-building institutions to boost productivity. While FDI’s role remains complementary, its insignificant immediate impact suggests the need for further research into the conditional factors such as institutional quality, financial market development, and trade policies that might mediate its effectiveness in fostering long-term growth within the region.

💡 Research Summary

The paper investigates whether foreign direct investment (FDI) has contributed to economic growth in South Asia by constructing an annual panel dataset for five SAARC members—Bangladesh, India, Nepal, Pakistan, and Sri Lanka—from 1980 to 2017. Data are drawn from the World Development Indicators and the Penn World Table, and the dependent variable is the annual growth rate of real GDP. The explanatory set includes FDI inflows, domestic investment (DI), government consumption, inflation, the Human Capital Index (HCI), log of total labor, and trade openness. The author tests the null hypothesis that FDI positively correlates with growth against the alternative that it does not.

A series of static panel regressions are estimated: ordinary least squares (OLS), fixed effects (FE), random effects (RE), and a heteroskedasticity‑ and autocorrelation‑robust generalized least squares (GLS). Across all specifications, the coefficient on FDI is positive but never statistically significant (t‑statistics well below conventional thresholds). By contrast, domestic investment is significant at the 1 % level in OLS, RE, and GLS and at the 10 % level in FE, while HCI is significant at the 5 % level in OLS, RE, and GLS and at the 10 % level in FE. Government consumption and inflation show the expected negative signs but remain insignificant. Trade openness and labor input also fail to achieve significance. Model fit is modest; within‑R² ranges from 0.38 (OLS) to 0.16 (RE), indicating limited explanatory power for country‑specific variation.

The author interprets the findings as evidence that, for the sampled South Asian economies, domestic capital formation and human‑capital development are the primary engines of growth, whereas FDI plays at most a complementary role. Policy recommendations stress strengthening the domestic investment climate (e.g., improving financial markets, infrastructure, and regulatory certainty) and investing in education and skill‑building to raise the HCI. The paper also notes that controlling inflation and maintaining fiscal discipline remain important for macro‑stability.

Limitations are openly discussed. The sample excludes Afghanistan, Bhutan, and the Maldives due to data gaps, reducing regional coverage. The reliance on static models leaves potential endogeneity and reverse causality between FDI and growth unaddressed; instrumental‑variable or dynamic panel (GMM) techniques would be more appropriate. Multicollinearity concerns arise from relatively high correlations among some regressors (e.g., DI and GDP, HCI and trade openness). The small number of cross‑sectional units (five countries, 136 observations) limits statistical power, especially for detecting modest FDI effects.

Future research directions include employing dynamic panel estimators to control for persistence in growth, using instrumental variables to isolate exogenous FDI shocks, and incorporating interaction terms that capture institutional quality, financial market depth, and trade policy. Such extensions could reveal under what conditions FDI becomes a significant catalyst for growth in South Asia, thereby guiding more nuanced policy design.