Abstract

The intellectual capital is a catalysator of the country’s economic growth. The developed countries try to develop attractive conditions for highly qualified migrants to diffuse the knowledge and innovations. The authors provided the bibliometric analysis of the papers, which focused on the analysis of the migrant issues was done. For the bibliometric analysis, the metadata of 2 500 papers was selected from Scopus. The results showed that the numbers of Scopus documents on the allocated theme have increased for 2015 year. The most powerful investigations were provided by scientists from the USA, Canada, France, United Kingdom.  The bibliometric analysis findings confirmed that the scientists allocated a vast range of the determinants that could stimulate or restrict the migrants in the country. Thus, the governance efficiency had the mediation role between the migration and innovation development of the country. In this case, the paper aims to check the hypothesis that the increasing (decreasing) level of country innovation development and government efficiency from year t − 1 to year t positively (negatively) affects net migration in year t + 1. The panel data for 2011-2018 was generated from IndexMundi, EU Data Portal, WorldBank. The object of the investigation was Bulgaria, Croatia, Lithuania, Latvia, Poland, Romania. The dependent variables – net migration rate, the independent variables – World Government Indicators: Control of Corruption, Government Effectiveness, Political Stability, Rule of Law, Regulatory Quality, Voice and Accountability (for assessment of government efficiency), Innovation Index (for assessment of country’s innovation development). In the paper, to check the hypothesis, the authors used the Fully Modified Ordinary Least Square for homogeneous and heterogeneous models. The findings confirmed that innovation development and governance efficiency (Political Stability and Absence of Violence/Terrorism, Regulatory Quality, Voice and Accountability) had a statistically significant impact on the migration rate. The findings could be used to identify the strategic goals of innovation development to overcome the demographic issues and support the migration of the high qualified workforces.  

Keywords: migration, human development, innovation, policy, governance.

JEL Classification: O15, O31, O38, R23.

Cite as: Pudryk, D., Legenkyi, M., & Alioshkina, L. (2021). Innovation development and migration: panel data approach. Marketing and Management of Innovations, 1, 336-347. https://doi.org/10.21272/mmi.2021.1-26

This work is licensed under a Creative Commons Attribution 4.0 International License

References

1. Ariu, A., Docquier, F., & Squicciarini, M. P. (2016). Governance quality and net migration flows. Regional Science and Urban Economics, 60, 238-248. [Google Scholar]
2. Ariu, A., Squicciarini, P. (2013). The balance of brains: Corruption and high skilled migration. IRES Discussion Paper 10, Catholic University of Louvain. [Google Scholar]
3. Blit, J., Skuterud, M., & Zhang, J. (2021). Can skilled immigration raise innovation? evidence from Canadian cities. Journal of Economic Geography, 20(4), 879-901. [Google Scholar]
4. Breschi, S., Lawson, C., Lissoni, F., Morrison, A., & Salter, A. (2020). STEM migration, research, and innovation. Research Policy, 49(9) [CrossRef]
5. Demircioglu, M. A., & Vivona, R. (2021). Depoliticising the European immigration debate: How to employ public sector innovation to integrate migrants. Research Policy, 50(2). [Google Scholar] [CrossRef]
6. Dimant, E., T. Krieger, and D. Meierrieks. (2013). The effect of corruption on migration, 1985–2000. Applied Economics Letters 20 (13): 1270–1274. [Google Scholar]
7. Dzwigol, H., Dzwigol-Barosz, M., Miskiewicz, R., & Kwilinski, A. (2020). Manager Competency Assessment Model in the Conditions of Industry 4.0. Entrepreneurship and Sustainability Issues, 7(4), 2630-2644. [CrossRef]
8. EIS (2019). European innovation scoreboard. Retrieved from: [Link]
9. Ernstson, H., Leeuw, S. E. V. D., Redman, C. L., Meffert, D. J., Davis, G., Alfsen, C., & Elmqvist, T. (2010). Urban transitions: On urban resilience and human-dominated ecosystems. Ambio, 39(8), 531-545. doi:10.1007/s13280-010-0081-9 [Google Scholar] [CrossRef]
10. Fassio, C., Montobbio, F., & Venturini, A. (2019). Skilled migration and innovation in European industries. Research Policy, 48(3), 706-718. [Google Scholar]
11. Ferrucci, E. (2020). Migration, innovation and technological diversion: German patenting after the collapse of the soviet union. Research Policy, 49(9) doi: [Google Scholar] [CrossRef]
12. IndexMundi (2021). Net migration rate. Retrieved from:  [Link]   
13. Jensen, P. H. (2014). Understanding the impact of migration on innovation. Australian Economic Review, 47(2), 240-250. [Google Scholar]
14. Kaufmann, D., Kraay, A., & Mastruzzi, M. (2011). The Worldwide Governance Indicators: Methodology and Analytical Issues1. Hague journal on the rule of law, 3(2), 220-246. [Google Scholar]
15. Kharazishvili, Y., Kwilinski, A., Grishnova, O., & Dzwigol, H. (2020). Social Safety of Society for Developing Countries to Meet Sustainable Development Standards: Indicators, Level, Strategic Benchmarks (with Calculations Based on the Case Study of Ukraine). Sustainability, 12(21), 8953. [CrossRef]
16. Kwilinski, A., Vyshnevskyi, O., & Dzwigol, H. (2020). Digitalisation of the EU Economies and People at Risk of Poverty or Social Exclusion. Journal of Risk and Financial Management, 13(7), 142. [CrossRef]
17. Levin, A., Lin, C. F., & Chu, C. S. J. (2002). Unit root tests in panel data: asymptotic and finite-sample properties. Journal of econometrics, 108(1), 1-24. [Google Scholar]
18. Lissoni, F. (2018). International migration and innovation diffusion: an eclectic survey. Regional Studies, 52(5), 702-714. [Google Scholar]
19. Niebuhr, A. (2010). Migration and innovation: Does cultural diversity matter for regional R&D activity? Papers in Regional Science, 89(3), 563-585. doi:10.1111/j.1435-5957.2009.00271.x [Google Scholar] [CrossRef]
20. Pedroni, P. (2004). Panel cointegration: asymptotic and finite sample properties of pooled time series tests with an application to the PPP hypothesis. Econometric theory, 597-625. [Google Scholar]
21. Pimonenko, T., Bilan, Y., Horák, J., Starchenko, L., & Gajda, W. (2020). Green brand of companies and greenwashing under sustainable development goals. Sustainability, 12(4), 1679.[Google Scholar] [CrossRef]
22. Rausser, G., Strielkowski, W., Bilan, Y., & Tsevukh, Y. (2018). Migrant remittances and their impact on the economic development of the Baltic States. Geographica Pannonica, 22(3), 165-175. [CrossRef]
23. Rubanov, P., Lyeonov, S., Bilan, Y., & Lyulyov, O. (2019, November). The Fintech sector as a driver of private entrepreneurship development in time of industry 4.0. In Conference proceedings: The Impact of Industry 4.0 on Job Creation (Vol. 21, pp. 319-328).
24. Simionescu, M., Strielkowski, W., & Kalyugina, S. (2017). The impact of Brexit on labour migration and labour markets in the United Kingdom and the EU. Terra Economicus, 15(1), 148-156. [Google Scholar]  [CrossRef]
25. Spohrer, J., & Maglio, P. P. (2008). The emergence of service science: Toward systematic service innovations to accelerate co-creation of value. Production and Operations Management, 17(3), 238-246. [Google Scholar] [CrossRef]
26. Stojčić, N., Bečić, M., & Vojinić, P. (2016). The impact of migration movements on innovation activities in croatian counties. Društvena istraživanja: časopis za opća društvena pitanja, 25(3), 291-307. [Google Scholar]
27. Vorontsova, A. S., Lieonov, S. V., Vasylieva, T. A., & Artiukhov, A. Y. (2018). Innovations in the financing of lifelong learning system: expenditure optimisation model. Marketing and Management of Innovations, 2, 218-231. [Google Scholar] [CrossRef]
28. WorldBank (2021). Worldwide Governance Indicators. Retrieved from: [Link]