Does a nonlinear specification methodology better capture the link between host country corruption levels and inward foreign direct investments? A study of 92 countries Online publication date: Mon, 13-Jul-2020
by Chi-Hui Wang; Prasad Padmanabhan; Chia-Hsing Huang
Global Business and Economics Review (GBER), Vol. 23, No. 1, 2020
Abstract: This paper investigates the link between inward foreign direct investment flows and host country corruption levels using annual data for developed, developing and transitional countries, over the 2002-2015 period. We find that the nonlinear specification provides a better characterisation of the relationship between corruption and inward FDI flows. Furthermore, we find that this relationship is a function of the development status of the host country. Finally, the marginal impact of corruption levels on FDI seems to be statistically significant at a higher level when a nonlinear (as opposed to a linear) specification is used.
Online publication date: Mon, 13-Jul-2020
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the Global Business and Economics Review (GBER):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email email@example.com