2010
DOI: 10.35866/caujed.2010.35.2.005
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Another Look at the Determinants of Foreign Direct Investment in Mena Countries: An Empirical Investigation

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Cited by 142 publications
(25 citation statements)
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“…They used the ARDL (Auto Regressive Distributed Lag) model, and they found that GDP per capita had a positive and statistically significant impact on FDI inflows, while inflation rate did not have the expected sign and it was not statistically significant both in long-run and short-run. They suggested that more variables in future researches-such as infrastructure, political stability, country risk, and country openness-will provide a better model to examine the impact of inflation rate and GDP per capita on FDI inflows (Mohamed and Sidiropoulos 2010). Ho et al (2013) have examined the relationship between trade openness, market size, and other fundamentals on FDI in fast emerging six countries including Brazil, China, India, Russia, South Africa, and Malaysia from 1977 to 2010.…”
Section: Literature Reviewmentioning
confidence: 99%
“…They used the ARDL (Auto Regressive Distributed Lag) model, and they found that GDP per capita had a positive and statistically significant impact on FDI inflows, while inflation rate did not have the expected sign and it was not statistically significant both in long-run and short-run. They suggested that more variables in future researches-such as infrastructure, political stability, country risk, and country openness-will provide a better model to examine the impact of inflation rate and GDP per capita on FDI inflows (Mohamed and Sidiropoulos 2010). Ho et al (2013) have examined the relationship between trade openness, market size, and other fundamentals on FDI in fast emerging six countries including Brazil, China, India, Russia, South Africa, and Malaysia from 1977 to 2010.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Although FDI has a significant positive relationship with economic development in the host country, researchers have not yet reached a consensus on what determines FDI inflows. Several studies, such as Adamu & Rasiah (2017); Apaydin (2009); Asiedu (2006); Borensztein, De Gregorio, & Lee (1998); Mohamed & Sidiropoulos (2010); Rodríguez & Pallas (2008); Rogmans & Ebbers (2013) and Roy & Mandal (2012), tried to assess what determines FDI flows to a wide spectrum of economies based on the levels of development, i.e., developed and developing countries using panel, cross-sectional, and time series operations. What emerged as a key factor was economic growth, which represents market size, and according to Schneider & Frey (1985) market size represents efficient utilization of resources and economies of scale.…”
Section: Literature Reviewmentioning
confidence: 99%
“…What emerged as a key factor was economic growth, which represents market size, and according to Schneider & Frey (1985) market size represents efficient utilization of resources and economies of scale. Several studies, such as those by Ang (2008), Bevan & Estrin (2004), Mohamed & Sidiropoulos (2010) and Rogmans & Ebbers (2013), suggest economic growth as a significant driver of FDI. Several other studies highlighted other key factors such as labor force and human capital (Steven Globerman & Shapiro, 2003;Rodríguez & Pallas, 2008), and exchange rate (Bevan & Estrin, 2004;Nier et al, 2014).…”
Section: Literature Reviewmentioning
confidence: 99%
“…The first school believes that natural resource is a key factor for attracting FDI inflows. Some studies such as Asiedu (2002Asiedu ( , 2006, Bokpin et al (2015), Mohamed and Sidiropoulos (2010) found that natural resources boost the outward FDI to host countries. These studies claim that investments in such extractive industries create very high profits, especially in resource-rich developing economies with low-quality institutions and low environmental regulations.…”
Section: Literature Reviewmentioning
confidence: 99%
“…In the case of the Middle East and North African (MENA) countries, Mohamed and Sidiropoulos (2010) found that natural resources are the key elements for investing MNCs.…”
Section: Literature Reviewmentioning
confidence: 99%