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MIGRATION AS A CATALYST FOR HIGH-TECH SECTOR GROWTH: ARMENIA’S POST-2022 NATURAL EXPERIMENT

Identification

Public canonical key
doi:10.55528/18292828-2026.2-79
Authors
Yuri Zakharyan
Reported year
2026
Reported language
en
Source type
article
First detected
2026-11-09T19:19:50.268757+00:00
Last metadata observation
2026-11-09T19:19:50.268757+00:00
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Institutions reported by the source

Academy of Public Administration

Documentary abstract — original language

The redistribution of highly skilled labor and capital from the Russian Federation following the outbreak of the Russian-Ukrainian war in 2022 created a unique opportunity to assess the impact of migration shocks on the development of the high-tech sector. In 2022, approximately 110,000 migrants entered the Republic of Armenia, including around 50,000 information technology specialists and nearly 2,000 relocated companies. As a result, the country’s high-tech sector experienced rapid expansion, followed by a partial decline beginning in 2024 as a portion of migrants subsequently emigrated. Conventional theories of migration economics suggest that such an outflow should lead to a proportional reduction in sectoral capacity. However, Armenia’s experience reveals a different pattern: the share of locally sourced labor continued to increase, the number of operating firms kept growing, and the sector’s gross output remained relatively stable. To explain this phenomenon, the article introduces the concept of the Selective Migrant Retention Effect, according to which migrants who are more deeply integrated into the host country’s economic and institutional environment are more likely to remain during the reverse migration phase, whereas less integrated migrants are more likely to leave. Consequently, a temporary migration inflow may generate long-term structural transformation. Treating the 2022–2025 two-sided migration shock as a natural experiment, the study integrates theoretical perspectives from migration economics, human capital theory, knowledge spillover literature, and innovation ecosystem research into a unified analytical framework. It develops testable propositions and offers policy recommendations for small open economies exposed to geopolitically induced migration shocks.

Identifiers

OPENALEX
W7167663575
DOI
10.55528/18292828-2026.2-79

Documentary context

Documentary family
Scholarship
Source-reported types
article
Natural entities mentioned
Ecosystem

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Sources

OpenAlex · Record 1 · Record 2

Documented bibliographic relations

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  • openalex:w2164766506 · CITES
  • openalex:w2796061247 · CITES
  • openalex:w2902009982 · CITES
  • openalex:w2947993558 · CITES
  • openalex:w2952814763 · CITES
  • openalex:w3113269512 · CITES
  • openalex:w4289443644 · CITES
  • openalex:w4361305325 · CITES
  • openalex:w4399782476 · CITES
  • openalex:w4402791961 · CITES
  • openalex:w4404190926 · CITES
  • openalex:w7118182149 · CITES
  • openalex:w7128426008 · CITES

0 incoming references within the detected corpus

Documentary field provenance

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Cite this reference

Yuri Zakharyan. MIGRATION AS A CATALYST FOR HIGH-TECH SECTOR GROWTH: ARMENIA’S POST-2022 NATURAL EXPERIMENT. 2026. https://doi.org/10.55528/18292828-2026.2-79

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APA
Yuri Zakharyan. (2026). MIGRATION AS A CATALYST FOR HIGH-TECH SECTOR GROWTH: ARMENIA’S POST-2022 NATURAL EXPERIMENT. https://doi.org/10.55528/18292828-2026.2-79
Chicago
Yuri Zakharyan. MIGRATION AS A CATALYST FOR HIGH-TECH SECTOR GROWTH: ARMENIA’S POST-2022 NATURAL EXPERIMENT. 2026. https://doi.org/10.55528/18292828-2026.2-79
ISO 690
Yuri Zakharyan. MIGRATION AS A CATALYST FOR HIGH-TECH SECTOR GROWTH: ARMENIA’S POST-2022 NATURAL EXPERIMENT. 2026. https://doi.org/10.55528/18292828-2026.2-79

UDTR Global Rights of Nature Legal Library. MIGRATION AS A CATALYST FOR HIGH-TECH SECTOR GROWTH: ARMENIA’S POST-2022 NATURAL EXPERIMENT. Documentary record: https://www.declarationuniverselledesdroitsdelarbre.org/global-rights-of-nature-radar/reference/r-d78f1bc6c92c6dc9e3e4e7770d97d01e/ · Last HTTP verification: not performed

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Field provenance and record version

Version 762770382130fc55 · udtr-reference-1.1.2

Title
OpenAlex · source · 2026-11-09T19:19:50.268757+00:00
Authors
OpenAlex · source · 2026-11-09T19:19:50.268757+00:00
Year
OpenAlex · source · 2026-11-09T19:19:50.268757+00:00
Identifiers
OpenAlex · source · 2026-11-09T19:19:50.268757+00:00
Source URL
OpenAlex · source · 2026-11-09T19:19:50.268757+00:00

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841f86e835f1e9e7 · 2026-11-09T19:19:50.268757+00:00

2edc0d9798ac2b55 · 2026-11-09T19:19:50.268757+00:00

40c8f178b01c30ec · 2026-11-09T19:19:50.268757+00:00

762770382130fc55 · 2026-11-09T19:19:50.268757+00:00

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Research dossiers and documentary relations

Academy of Public Administration

Yuri Zakharyan

Source roles

Discovery source · https://doi.org/10.55528/18292828-2026.2-79

Discovery source · https://openalex.org/W7167663575

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