The paper aims to examine the new trends of immigration and their implications on the economy of the host country, particularly on economic growth and unemployment. As the effects of aging population can be felt in many countries, especially in developed ones, migration will continue to play an increasing role in the economic growth of all countries, either sending or receiving. Given the changes in migration trends and migration policies, the impact of the process should be revised. One of the main characteristics that significantly impacts economic growth is the education and skill level of immigrants. In the light of this fact, the research aims to identify the impact of immigration on growth through the skill composition channel. We analyzed the impact of skilled and unskilled immigration on growth, also including the unemployment rate as a relevant factor for the labour market. We estimated six dynamic panel models using the system of generalised method of moments (GMM) to take into account the risk of an endogeneity bias of the migration variables. The results indicate a positive and significant effect of skilled immigration on the economic growth of the receiving country. The results also point to a 1.3 percent β-convergence rate consistent with the values found in the convergence literature which are around 2 percent.

The paper examines the recent developments in the high-technology manufacturing sectors in the EU28 countries, focusing on the β-convergence of gross value added in the Manufacture of computers, electronic, and optical products, and the Manufacture of basic pharmaceutical products and pharmaceutical preparations. We employ two dynamic panel models estimated using the system of generalized method of moments (GMM) to address the risk of an endogeneity bias. The panel data analysis indicates a higher convergence for the Manufacture of computer, electronic, and optical products at 16.4% compared to 2.2% for the Manufacture of basic pharmaceutical products and pharmaceutical preparations, which is consistent with the existence of fewer barriers and higher exposure to competition in the case of the first analyzed sector. In the context of the role of the high-technology manufacturing industries as an engine of growth and the existing performance differences between the EU28 countries in terms of gross value added in the analyzed sectors, we investigated the β-convergence for two groupings EU15 and the new EU member states. We found that the new EU member states display a higher β-convergence rate than EU15, but also that they have a lower capital intensity. The result highlights the potential risk of some of the new EU member states becoming laggers in terms of the underlying factors behind gross value added as investment and labour force.

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