Saleem, Hummera, Shabbir, Malik Shahzad, Khan, Bilal, Aziz, Shahab, Md Husin, Maizaitulaidawati and Abbasi, Bilal ORCID: https://orcid.org/0000-0003-2263-7208 (2021) Estimating the key determinants of foreign direct investment flows in Pakistan: new insights into the co-integration relationship. South Asian Journal of Business Studies, 10 (1). pp. 91-108.

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Abstract

Purpose
This empirical analysis tries to examine determinants of private foreign direct investment (FDI) in Pakistan using the bounds test approach. Main determinants of FDI among them are the size of the market (Q) macroeconomic stability (r), political stability (PRS), real exchange rate (REX) and institutional quality (INQ).

Design/methodology/approach
This study used annual time-series data set starting from 1980 to 2016. This study has used time-series data with ARDL and error-correction model (ECM) and examined main determinants of FDI for Pakistan. The study used the Granger causality test (modified WALD test) to identify the causality among the variables.

Findings
Moreover, empirical findings indicate the long-run relationship between GDP, trade openness and institutional quality toward FDI. However, political instability, inflation and real exchange rate harm FDI in Pakistan. Furthermore, results of Granger causality indicate that the bidirectional causality running from FDI and Q toward FDI is significant, providing evidence of FDI-led growth hypotheses in Pakistan. This study determines the correlation between FDI and Q (GDP growth) related to the “feedback hypothesis” in the short and long run. This study also concludes that the short-run causal connection among FDI, REX, PRS, r and Q follows the “feedback hypothesis.” This describes that FDI, REX, PRS, r and Q variables are jointly determined and affected together.

Originality/value
This study also explores the causal association between FDI and its significant determinants, by using methods of Granger causality test and the approach of Toda-Yamamoto-DoladoLutkephol (TYDL) to examine the causal relationship and its directions among these variables.

Keywords

Item Type:	Article
Status:	Published
DOI:	https://doi.org/10.1108/SAJBS-07-2019-0123
School/Department:	London Campus
URI:	https://ray.yorksj.ac.uk/id/eprint/10480

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