YOUTH EMIGRATION AND SME PERFORMANCE IN ALBANIA: FIRM-LEVEL EVIDENCE

Alketa VANGJELI

Associate Professor, University of Elbasan, Albania.

alketa.vangjeli@uniel.edu.al

Abstract

Youth emigration has become a persistent structural challenge for the Albanian economy, raising concerns about labor availability, productivity, and the sustainability of small and medium-sized enterprises (SMEs). While the macroeconomic consequences of emigration have been widely examined, limited attention has been paid to its firm-level effects, particularly in transition economies. This study investigates the impact of youth emigration on Albanian SMEs, focusing on labor shortages, skills availability, productivity perceptions, innovation capacity, and growth expectations. Using cross-sectional survey data collected from SMEs operating across key economic sectors in Albania, the analysis employs regression techniques to examine the relationship between youth emigration intensity and firm performance indicators, controlling for firm size, age, sector, and location. The results indicate that higher levels of youth emigration are significantly associated with increased labor shortages and reduced access to skilled workers. SMEs exposed to stronger emigration pressures also report lower productivity growth and diminished innovation activity, suggesting that youth outmigration constrains firms’ adaptive capacity. Although some firms attempt to mitigate these effects through wage adjustments or organizational restructuring, such responses appear insufficient to offset the broader human capital depletion. The findings contribute to the literature on migration and firm performance by providing micro-level evidence from a small transition economy and highlighting the asymmetric vulnerability of SMEs to demographic shocks. From a policy perspective, the results underscore the need for integrated youth retention, skills development, and SME support strategies to sustain enterprise competitiveness and long-term economic growth.

Keywords: Labor shortages, Human capital, Firm productivity, Innovation

JEL classification: F22, J24, L26, O15, R23

pp. 135-145

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

Cristina LINCARU

Dr, FeRSA, Department of Labour Market, National Scientific Research Institute for Labour and Social Protection, Bucharest, Romania

cristina.lincaru@yahoo.de

ORCID ID: 0000-0001-6596-1820

Speranța PÎRCIOG

Dr Scientific Director, National Scientific Research Institute for Labour and Social Protection, Bucharest, Romania

pirciog@incsmps.ro

ORCID ID: 0000-0003-0215-038X

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

JEL classification: C23, F21, F22, F24, J21, J24, O52

 pp. 67-104

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