Institutional Quality and Macroeconomic Indicators on Foreign Direct Investment in Developing Asian Countries

This research endeavors to scrutinize the influence of institutional quality and macroeconomic factors on Foreign Direct Investment (FDI). The institutional quality dimensions analyzed include political stability and corruption, while the macroeconomic variables encompass Gross Domestic Product (GDP) and exchange rates. The study's sample comprises developing Asian nations over the period from 2012 to 2019. Employing a quantitative methodology, the study leverages panel data analysis to derive its findings. The results indicate that political stability and exchange rates do not exert a statistically significant effect on FDI. In contrast, corruption is found to have a negative and significant association with FDI, whereas GDP shows a positive and significant correlation. Based on these outcomes, it is advised that developing countries in Asia should prioritize the enhancement of institutional quality, particularly by mitigating corruption, as it poses a substantial impediment to FDI inflows. Future research is encouraged to refine the model by incorporating additional variables and employing dynamic panel data analysis to facilitate a more comprehensive exploration of the evolving interrelations among variables over time.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-09-05
DOI
https://doi.org/10.5281/zenodo.13691562
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

Institutional Quality and Macroeconomic Indicators on Foreign Direct Investment in Developing Asian Countries

Zenodo (CERN European Organization for Nuclear Research)
International Business and FDI
article

Institutional Quality and Macroeconomic Indicators on Foreign Direct Investment in Developing Asian Countries

article en

Abstract

This research endeavors to scrutinize the influence of institutional quality and macroeconomic factors on Foreign Direct Investment (FDI). The institutional quality dimensions analyzed include political stability and corruption, while the macroeconomic variables encompass Gross Domestic Product (GDP) and exchange rates. The study's sample comprises developing Asian nations over the period from 2012 to 2019. Employing a quantitative methodology, the study leverages panel data analysis to derive its findings. The results indicate that political stability and exchange rates do not exert a statistically significant effect on FDI. In contrast, corruption is found to have a negative and significant association with FDI, whereas GDP shows a positive and significant correlation. Based on these outcomes, it is advised that developing countries in Asia should prioritize the enhancement of institutional quality, particularly by mitigating corruption, as it poses a substantial impediment to FDI inflows. Future research is encouraged to refine the model by incorporating additional variables and employing dynamic panel data analysis to facilitate a more comprehensive exploration of the evolving interrelations among variables over time.

Zenodo (CERN European Organization for Nuclear Research)
Lampung University (ID)
Peace, Justice and strong institutions
Openalex Percentile: Top 36%
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.

Institutional Quality and Macroeconomic Indicators on Foreign Direct Investment in Developing Asian Countries · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS