The impact of EU migration policies on Central-Eastern European countries

2001 ◽  
Vol 20 (2) ◽  
pp. 102-114
Author(s):  
J Toth
2020 ◽  
Vol 22 (2) ◽  
pp. 5-33
Author(s):  
Ljubivoje Radonjić ◽  
◽  
Nevena Veselinović ◽  

The primary objective of the article is to examine the nexus between inflation, R&D, patents, and economic growth within a group of Central and Eastern European countries (CEECs). The examination is conducted in two parts. First, the impact of total R&D expenditures on economic growth is observed, as well as the influence of growth on private and public R&D investments. Second, the conversion from private and public R&D investment to innovation, measured by the number of patents, is observed. Throughout the analysis, economic growth and inflation are representative of macroeconomic stability. The outcomes of the panel auto-regressive distributed lag estimation indicate that total R&D expenditures are essential and positively significant for economic growth in the observed countries. The results also show that output growth has a remarkably positive impact on generating private R&D expenditures. Such an influence is also found, but at a weaker level, in the case of public R&D expenditures. In this part of the analysis, inflation has demonstrated a harmful influence on R&D expenditures. The results of the second part indicate that public and private R&D expenditures, at a significant level, generate innovation activities, while the impact of inflation has proven to be unimportant.


2021 ◽  
Vol 24 (3) ◽  
pp. 7-25
Author(s):  
Kunofiwa Tsaurai

The study investigates the effect of mining on both poverty and income inequality in Central and Eastern European countries (CEECs) using econometric estimation methods with panel data spanning from 2009 to 2019. Another objective of this paper was to determine if the complementarity between mining and infrastructural development reduced poverty and or income inequality in CEECs. What triggered the study is the failure of the existing literature to have a common ground regarding the impact of mining on poverty and or income inequality. The existing literature on the subject matter is contradictory, mixed, and divergent; hence, it paves the way for further empirical tests. The study confirmed that the vicious cycle of poverty is relevant in CEECs. According to the dynamic generalized methods of moments (GMM), mining had a significant poverty reduction influence in CEECs. The dynamic GMM and random effects revealed that the complementarity between mining and infrastructural development also enhanced poverty reduction in CEECs. Random effects and pooled OLS shows that mining significantly reduced income inequality in CEECs. However, random effects and the dynamic GMM results indicate that income inequality was significantly reduced by the complementarity between mining and infrastructural development. The authorities in CEECs are therefore urged to implement mining growth and infrastructural development-oriented policies in order to successfully fight off the twin challenges of poverty and income inequality.


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