Abstract
This paper analyzes the determinants of Foreign Direct Investment (FDI) in the food products sector in Turkey. An Autoregressive Distributed Lag (ARDL) model is applied to the monthly data over the period of January 2009 to December 2016. In the model, FDI inflows are modeled as a function of the degree of openness, exchange rate, export price, and wage rate. The empirical results confirm there is an evidence of a long-run equilibrium relationship among these variables in Turkey. Findings indicate that the degree of openness and export price have a positive sign and are statistically significant, while the wage rate has a negative sign and is statistically significant. The error correction term (ECT) of the estimated model is negative (0,92) and statistically significant which indicates that deviations of actual FDI from the previous period’s shock will be converged to the long-run equilibrium.
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