This study analyzes the relationship between agricultural foreign direct investment (FDI) and food security on Belt and Road Initiative (BRI) countries in a panel framework over the period 2006–2015 using correlation analysis, the specific-effect model, and the 2SLS technique. The study aims to: first, analyze the correlation between agricultural FDI and food security for each country, individually; then, investigate whether there is a direct relationship, using the specific-effect model. Finally, by taking one step further, this study uses the 2SLS method to determine whether there is an indirect relationship through agricultural productivity. Our results show that the sampled countries have clear differences in the direction of the relationship between food security and agricultural FDI. But, in general, the agricultural FDI has a positive direct and indirect effect on food security; this effect is seen clearly when the country attracts agricultural FDIs steadily.

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The research presents Fuzzy set multi-criteria decision-making approach combined by Delphi method (ADM) to facilitate location decision. Whereas the preference ranking of alternatives importance of the criteria was obtained by (ADM) then obtained the right decision by applying Fuzzy set method. The applicability of the recommended methods was given on NAFFCO firefighting company location selection problem. The importance of this study is that it presented as followed: it is the first usage of the mixed methodologies in the area of location selection (Jiangsu province) that focusing on market size(MS), labor productivity(LP), knowledge(KN), and transportation(T) to facilitate location decision. Second the presented content of methodologies can be used to decide the important weight of 261 the existed variables. Third, reduce the risks that can be faced in making the location decision to gain a fruitful location decision. Fourth, it can be used to facilitate location selection within unlimited locations and unlimited criteria.