Abstract
The aim of this paper is to identify the key factors affecting foreign real estate investment (FREI) in the UK, with a particular focus in London. The panel regression method was used as a data analysis approach for this paper. Two panel regression equations were developed. The first equation has five explanatory variables including GDP, wage, property price, land price and interest rate. The second equation has the sixth explanatory variable, tourists, as well as the five variables used in the first equation. Pearson coefficient analysis was also conducted to identify the correlation between the dependent variable, FREI and the explanatory variables. For the first equation of panel regression analysis showed all five explanatory variables are statistically significant and have an expected impact on FREI. That is GDP and house price, have positive impacts on FREI, while wage, land price and interest rate have negative impacts. For the second equation, all explanatory variables, apart from interest rate and tourists, are statistically significant. Tourists have an unexpected negative impact on FREI. Pearson coefficient analysis showed that FREI has a statistically significant correlation relationship with GDP, wage, house price, land price and interest rate. FREI also has a positive relationship with all explanatory variables except interest rate.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
