EconPapers    
Economics at your fingertips  
 

What robustly determines FDI in emerging markets and developing countries? A sensitivity analysis

Ali Abbas

The Journal of International Trade & Economic Development, 2023, vol. 32, issue 3, 410-428

Abstract: What determines Foreign Direct Investment (FDI) inflows remains a primary concern of economists and policy makers; yet the uncertainty surrounding FDI theories and empirical approaches has created ambiguity regarding the determinants of FDI. This paper applies Leamer’s (1983, 1985) traditional Extreme Bounds Analysis (EBA) as well as the Sala-I-Martin modified form of EBA to identify the robust determinants of FDI using cross-sectional data (averaged for the period of 1985-2016) covering 103 emerging and developing countries. We consider 33 potential economic, political and institutional determinants. To address concerns about multicollinearity, the VIF restriction specifies that only estimates with VIF below five are reported. The results show that all variables of interest are fragile determinants of FDI when using traditional EBA. Yet, when applying the Sala-i-Martin EBA, nine robust variables are revealed. Some policy implications are discussed.Highlights What determines Foreign Direct Investment (FDI) inflows remains a primary concern of economists and policy makers; yet the uncertainty surrounding FDI theories and empirical approaches has created ambiguity regarding the determinants of FDI.It is a common practice in the fields of economics and finance to report the most ‘appealing’ or convenient regression or regressions after an extensive search and data mining, given that the ‘true’ model is unknown.This paper applies traditional Extreme Bounds Analysis (EBA) as well as the Sala-i-Martin modified form of EBA to identify the robust determinants of FDI.We demonstrate that what is important is not the significance or otherwise according to one regression equation but rather the robustness or fragility of the variables in the sense that the sign and significance do not change over a large number of regressions selected according to a predetermined procedure.Policy makers would be able to understand the importance of the major determinants of FDI mentioned in the paper and take steps to formulate policies that encourage and attract more FDI. Such determinants could include market size, making regulations more international trade friendly and investing in the nation’s human capital. Further, research and development facilities could be developed to provide a basis for technological advancements which would attract more FDI inflows.

Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/09638199.2022.2115104 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:jitecd:v:32:y:2023:i:3:p:410-428

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RJTE20

DOI: 10.1080/09638199.2022.2115104

Access Statistics for this article

The Journal of International Trade & Economic Development is currently edited by Pasquale Sgro, David E.A. Giles and Charles van Marrewijk

More articles in The Journal of International Trade & Economic Development from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:jitecd:v:32:y:2023:i:3:p:410-428