Since migration is considered to play an important role on the attainment of the sustainable development goals (SDG’s) this study analyses the reversed perspective of the migration-SDG’s nexus. The data set consists of 308 observations on 28 European Union countries (including the United Kingdom) over a time span of 11 years (between 2008 and 2018). The analysis employed various stages of estimation in order to compare different results obtained from the panel data regression models. Besides the classical panel data regression models, the paper includes the estimation of Arellano-Bover/Blundell-Bond model that uses the Generalized Method of Moments (also known as GMM) as an econometric tool to solve the endogeneity of the selected variables. The focus is on two sustainable development goals: labour and economic growth, and education of the European Union member states plus the United Kingdom. The results showed that there is a significant influence of the selected variables on the migration flows at the European Union level. Although there are some contradictory results regarding the direction and statistical significance of the link between the variables of interest, most estimators do not have fundamentally different results. The GDP per capita keeps its positive impact on migration by generating an immigration flow towards countries with high GDP per capita. Economic growth proves to be the main trigger of migration, while education also plays an important role in shaping migration. The importance of this study derives from the reversed perspectives analysis, considering migration as being directly influenced by the achievement of the sustainable development goals.

Abstract. In this paper we aimed to take a methodological look at the

This research aim is to investigate Foreign Direct Investment (FID) complexity in less developed countries, highlighting the factors that affect FDI. Based on data collected for the period 2003-2019 an econometric model allows us to determine the relevance of traditional and non-traditional factors. We employ a panel regression, with both static and dynamic models and Granger causality. The findings reveal HDI and Governance have a significant relationship with FDI in both the static and dynamic models. The study's novelty relies both on the proposed composite governance index and the relationships identified between FDI and new factors relevant to the LDC context, such as the fertility, urbanisation, and governance that might be taken into consideration both by international organisations and national regulators and policy makers.

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