FDI and the Misery Index in Saint Lucia: Analyzing the Impact on a Tourism-Dependent Economy

This study was conducted to examine the relationship that exists between Foreign Direct Investment (FDI) and the Misery Index (MI) in Saint Lucia. Moreover, other macroeconomic variables were included in order to understand their impact on FDI inflows into a small island developing economy. The research employs the Autoregressive Distributed Lag (ARDL) model to analyze the long-run and short-run relationships between FDI and the Misery Index. In addition, the study explores the influence of macroeconomic variables such as GDP per capita growth, trade openness, money supply, and total debt service on FDI inflows. Stationarity of the variables is confirmed using the Phillips-Perron (PP) and Augmented Dickey-Fuller (ADF) tests. It was found that there exists no significant long-run relationship between FDI and the Misery Index. However, GDP per capita growth, money supply, and total debt service, play a significant positive role in influencing FDI inflows. Moreover, there exists a negative relationship between trade openness and FDI. This relationship between trade openness and FDI can be attributed to Saint Lucia’s heavy reliance on tourism and not the trade- intensive sectors. In the short run, foreign direct investment has a negative relationship with money supply and the Misery Index. By examining the relationship between FDI and the Misery Index from the perspective of a small island developing state (SIDS) that is heavily dependent on tourism, this study contributes significantly to the existing literature.

Authors

Institutions

Publication Details

Journal
International Journal of Economics and Financial Issues
Published
2025-08-25
DOI
https://doi.org/10.32479/ijefi.19811
Primary Topic
International Business and FDI
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

FDI and the Misery Index in Saint Lucia: Analyzing the Impact on a Tourism-Dependent Economy

Tricia Karen Vernessa Mangal
International Journal of Economics and Financial Issues
International Business and FDI
article

FDI and the Misery Index in Saint Lucia: Analyzing the Impact on a Tourism-Dependent Economy

Tricia Karen Vernessa Mangal
article en

Abstract

This study was conducted to examine the relationship that exists between Foreign Direct Investment (FDI) and the Misery Index (MI) in Saint Lucia. Moreover, other macroeconomic variables were included in order to understand their impact on FDI inflows into a small island developing economy. The research employs the Autoregressive Distributed Lag (ARDL) model to analyze the long-run and short-run relationships between FDI and the Misery Index. In addition, the study explores the influence of macroeconomic variables such as GDP per capita growth, trade openness, money supply, and total debt service on FDI inflows. Stationarity of the variables is confirmed using the Phillips-Perron (PP) and Augmented Dickey-Fuller (ADF) tests. It was found that there exists no significant long-run relationship between FDI and the Misery Index. However, GDP per capita growth, money supply, and total debt service, play a significant positive role in influencing FDI inflows. Moreover, there exists a negative relationship between trade openness and FDI. This relationship between trade openness and FDI can be attributed to Saint Lucia’s heavy reliance on tourism and not the trade- intensive sectors. In the short run, foreign direct investment has a negative relationship with money supply and the Misery Index. By examining the relationship between FDI and the Misery Index from the perspective of a small island developing state (SIDS) that is heavily dependent on tourism, this study contributes significantly to the existing literature.

International Journal of Economics and Financial IssuesVol. 15(5)
Tamkang University (TW)
Openalex Percentile: Top 67%
International Business and FDI
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.