Migration Narratives and Economic Impact in Post-Communist Eastern Europe

Summary

Since the collapse of communist regimes in the early 1990s, Eastern European nations have witnessed profound population movements that are intricately bound to narratives of freedom, economic aspiration and collective memory. Migration has often been depicted as both a rite of passage into a market economy and a symptom of persistent structural weakness. Out-migration has reshaped labour markets, contributed to demographic ageing and fuelled debates on brain drain versus brain circulation. At the same time, remittance flows have become a vital lifeline for households and a source of domestic investment, with notable effects on consumption patterns and local entrepreneurship. Return migrations and transnational networks have given rise to hybrid identities and knowledge transfers, influencing institutional reform and social innovation. Narratives around migration vary widely—from heroic tales of individual self-advancement to cautionary accounts of social fragmentation. These stories have informed policy responses at national and EU levels, from active labour mobility schemes to rural revitalisation programmes. The economic impact of these movements continues to unfold in metrics such as wage convergence, real GDP growth and shifting unemployment rates, while also reverberating through public perceptions of solidarity and national cohesion. This interplay between discourse and data underlines the global importance of understanding post-communist migration as both an economic phenomenon and a cultural process.

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Migration Narratives and Economic Impact in Post-Communist Eastern Europe publication trend

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Technical terms

Push–pull factors: The economic and non-economic conditions that respectively drive people away from origin regions and attract them to destinations.

Relative economic welfare: A comparative measure of living standards in origin versus destination countries, encompassing income, public services and cost of living.

Structural vector autoregression (SVAR): A time-series econometric model that identifies the dynamic relationships and shocks among multiple macroeconomic variables.

Brain drain: The emigration of highly skilled individuals from their home country, potentially leading to talent shortages.

Remittances: Transfers of money or goods sent by migrants to their home country, which can support household consumption and investment.

Transnational networks: Social and professional ties linking migrants across borders, facilitating knowledge exchange and economic collaboration.

References

  1. International Migration in the Periods of Transition and Crisis: the Case of Latvia. Baltijskij Region (2014).
  2. Push or Pull: What Drives Emigration from Lithuania?. Organizations and Markets in Emerging Economies (2022).
  3. Does Emigration Hurt the Economy? Evidence from Lithuania. Organizations and Markets in Emerging Economies (2021).
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