The World Bank (WB) has described the European Union (EU) as a convergence machine, and the real and institutional convergence has been achieved for a long period of time, and EU’s cohesion policy, alongside the Recovery and Resilience Facility (RRF), remains crucial for driving reforms and fostering investments that promote growth. But, in the last two decades this convergence machine has stopped working, and the convergence process has turned in the divergence. The divergence process poses a great risk for the smooth functioning of the EU, and it increases vulnerability of the EU to negative economic shocks. Productivity and institutional convergence are a necessary precondition for the smooth functioning of the EU, reducing differences in standards of living, increasing resilience, and achieving environmental sustainability. In the present paper, we will apply log t-test over the period 2003–2023 to investigate the formation of productivity and institutional convergence clusters. Our goal is to identify which countries belong to the poor productivity/institutional clubs, and to provide the necessary policy implications. Results indicate the existence of multiple steady states, which means that EU is vulnerable to external economic shocks

Total Factor Productivity (TFP) is the portion of the country's output not explained by the amount of inputs used in production. The main goal of the present paper is to estimate the Total Factor Productivity levels and then determine the long-term impact of Economic freedom on the TFP in ten former socialistic countries, which are full EU members since 2000. To estimate the TFP we have applied the fixed effect panel on standard Cobb-Douglas production function in per capita terms. In the second iteration we have used PMG ARDL model to estimate the long-term impact of economic freedom on the TFP. This research has proven that higher level of economic freedom, which is used as a proxy of the quality of the institutions and institutional framework, caused higher level of total factor productivity in the period 2000-2018 in the case of ten former socialistic countries which are full EU members since 2000. The obtained results enable us an insight in policies which are important for efficiency increase and economic performance. Our finding could be very useful for policymakers, stressing which policies are contributing to efficiency, and which are not. So that policymakers could intervene in the way to increase the quality of institutional framework and economic institutions. Many other studies investigate the TFP and growth, or growth and institutional framework for the countries of Central and East Europe. Our survey is among the first to investigate the long-term impact of the institutional framework and economic institutions on the countries efficiency for this countries. Our survey enables us an insight into the mechanism through which the institutions can positively impact the TFP through increasing the predictability and reducing the uncertainty for CE countries.

The present study examines how policy makers should consider the quality of institutional framework to reduce the productivity gap and increase a country’s ability to absorb superior technologies developed elsewhere. This paper analyzes the impact of components of economic freedom, such as the size of government, regulation, and freedom to trade internationally, and world government indicators, such as political stability and absence of violence/terrorism, regulatory quality, and control of corruption on the productivity gap between the “Old” and “New” Europe countries. This is among the first studies to investigate, in a sample of former socialistic countries, the impact of institutions on a country’s ability to adopt superior technology developed elsewhere. A static panel analysis was applied on cross-sectional data from the eleven EU countries. The results strongly support the productivity convergence between the “Old” and “New” Europe countries, with a positive impact of the institutions on the productivity growth. However, the impact of the institutions fades the further the country is from the frontier.

Economic theory suggests that free capitalflows increase the efficiency of the resource allocation, andstimulate economic growth. Foreign direct investment (FDI)is seen as a kind of cure for all economic problems incountries that do not have a sufficient level of accumulationfor starting economic growth. In this paper we willinvestigate the impact of FDI on economic growth inCommonwealth of Independent States (Armenia, Azerbaijan,Belarus, Kazakhstan, Kyrgyzstan, Moldova, RussianFederation, Tajikistan and Ukraine) for the 2000-2015period. Our assumption is that increase in FDI inflow willhave positive impact on economic growth. The analyisis wascarried out using the ARDL (Pooled Mean Group/ARDistributed Lag Models). This model is particularlyconvenient in a situation where all variables are stationaryat different levels. The results shows strong and positiveimpact of FDI on economic growth.

The paper is mainly aimed at identifying the sources of total factor productivity (TFP) growth within the framework of convergence for the Republic of Srpska (RSRP). The main research question is what it is that drives technological progress for a small transition country. The current study focuses on the RSRP, as the follower, and the Republic of Serbia (RSRB), as the technological leader. The analysis carried out in this research study confirms the presence of convergence at the industry level, which means that the farther away from the technological frontier a country is, the higher the TFP growth rate. The research results enable policymakers to design and implement policies capable of enhancing domestic development and increase productivity growth.