MAPPING CLUSTERS IN CENTRAL AND EASTERN EUROPEAN REGIONS BASED ON FDI, REMITTANCES AND EMPLOYMENT – A SPATIAL STATISTICS GROUPING ANALYSIS

Cristina Lincaru () and Speranța Pîrciog ()
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Speranța Pîrciog: Dr Scientific Director, National Scientific Research Institute for Labour and Social Protection, Bucharest, Romania

Regional Science Inquiry, 2022, vol. XIV, issue 1, 67-104

Abstract: Central and Eastern European (CEE) and Visegrad countries transform and develop in different spatial patterns in a global economy. Host labour markets benefit directly from Foreign Direct Investment (FDI) inward flows through jobs creation or increased productivity. On the other side, the labour force rises its geographical mobility and benefits from jobs in FDI's source countries, sending personal remittances. Global integration marks that the "receipts of remittances have become an important and stable source of funds that exceeds FDI" (indexmundi.com). Are the CEE /Visegrad countries similar concerning their spatiotemporal pattern of FDI inflows? These countries are identical in their development model, described by the coordinates of FDI, remittances and Employment? We applied for 35 European countries from 2013-to 2019 the Similarity check –Grouping Analysis ARC GIS-tool from the Spatially Constrained Multivariate Clustering (Spatial Statistics) family. The FDI inflow as input proves to be more inertial, according to the categories set by EuroVoc. Simultaneously, the FDI inward as output (employment growth or labour productivity growth) differentiate CEE countries next to labour/ human capital mobility as personnel remittances in more heterogeneous categories. In conclusion, for CEE countries, capital mobility and labour & human capital mobility create different development patterns globally. Therefore, it is not enough to build policies to attract capital (FDI) and attract high human capital.

Keywords: CEE; inward FDI rates; personal remittances receipt as GDP rate; employment rate; Similarity check –Grouping Analysis; spatial statistics (search for similar items in EconPapers)
JEL-codes: C23 F21 F22 F24 J21 J24 O52 (search for similar items in EconPapers)
Date: 2022
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