Analysis of FDI Determinants Using Autoregressive Distributive Lag Model: Evidence from India
https://doi.org/10.26794/2587-5671-2024-28-3-144-156
Abstract
The significance of foreign direct investment (FDI) for the expansion and advancement of emerging economies has long been recognized. Yet, research on the factors that influence FDI inflows is still developing. This study focuses on examining the long- and short-term association between FDI inflows and its determinants, employing ARDL bounds testing approach and Error Correction Model to understand the relationship between the variables under study. The findings evidence the existence long- and short-term association between FDI and domestic investment, inflation, infrastructure, and trade openness. However, market size is observed to be insignificant in influencing FDI inflows. The coefficients of domestic investment, infrastructure and Trade Openness are observed to be significantly positive. The influence of inflation is found to be negative. The study suggests that the Indian economy should accelerate the process of integration with the world economy along with the enhancement of domestic investment and infrastructure facilities to attain higher FDI.
About the Authors
R. PatelIndia
Richa Patel — researcher
Noida, Uttar Pradesh
Competing Interests:
The authors have no conflicts of interest to declare.
D. R. Mohapatra
India
Dipti R. Mohapatra — PhD, Prof. of Economics
Noida, Uttar Pradesh
Competing Interests:
The authors have no conflicts of interest to declare.
S. K. Yadav
India
Sunil K. Yadav — PhD, Assoc. Prof.
Ghaziabad, Uttar Pradesh
Competing Interests:
The authors have no conflicts of interest to declare.
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Review
For citations:
Patel R., Mohapatra D.R., Yadav S.K. Analysis of FDI Determinants Using Autoregressive Distributive Lag Model: Evidence from India. Finance: Theory and Practice. 2024;28(3):144-156. https://doi.org/10.26794/2587-5671-2024-28-3-144-156