The aim of the study is to determine the spatial differentiation of wages and their selected determinants in the Ukrainian regions within 2004—2016. Based on data of the Ukrainian statistical office (the State Statistics Service of Ukraine), panel regression methods (OLS and GMM with individual and random effects) were used.It follows from the deliberations that the Ukrainian economy developed very rapidly to the global financial crisis and the Ukrainian-Russian gas conflict (2008and2009). Labor productivity increased, unemployment fell, which translated into increased wages in all Ukrainian regions. Then, also due to the political and military conflict after Euro-Maidan (2013 and 2014), GDP, labour productivity and wages decreased, while unemployment increased (especially in the Donbas). This, in turn, leads to the economic emigration of inhabitants and the gradual depopulation of Ukraine.
The devastating russian military invasion of Ukraine forced millions of people to flee their homes. Among those affected are highly skilled scientists, resulting in a significant loss of human capital for Ukraine, which is crucial for the post-war reconstruction. To address this pressing issue, the Young Scientists Council (YSC) at the Ministry of Education and Science of Ukraine launched the “Ukrainian Science Diaspora” initiative to mitigate the brain drain.The purpose of this study is to outline the first steps taken by this initiative. Moreover, it demonstrates lessons learned from the pilot meetings. The essence of the initiative is to keep links with scholars who left Ukraine and join the efforts of different migration waves of Ukrainian scientists for the further rebuilding of Ukraine. The YSC and other institutions prepared the analytical report on the needs and plans of Ukrainian scientists abroad. In addition, the paper highlights various events and activities organized by the YSC and other self-formed associations of Ukrainian scientists worldwide, working together to establish networks that could take the form of public organizations or be part of local unions of scientists. At present, efforts are focused on identifying Ukrainian scientists interested in joining this initiative, with the ultimate goal of identifying areas where Ukrainian scientists can participate in post-war reconstruction. The success of this initiative will undoubtedly play a crucial role in ensuring that Ukraine can retain its valuable human capital and continue to thrive in the face of adversity. AcknowledgmentThis study is co-funded by the European Union through the European Education and Culture Executive Agency (EACEA) within the project “Europeanisation of Doctoral Studies in Line with the Innovative Doctoral Training Principles in Europe: Towards a Common Future” 101083493 – EDOCS – ERASMUS-JMO-2022-HEI-TCH-RSCH https://edocs.snau.edu.ua/en/
The purpose of the article is to build a gravitational growth model of Ukrainian economy. The correlation of the labour productivity macroeconomic indicator and its empirical verification is considered. The article looks at recent research dealing with data analysis of region groups as of 2004-2017. To determine the conditions for economic development of the regions, the magnitude and the possible influence of the main macroeconomic factors were assessed. The methodology of gravity modelling makes it possible to study the significance of each individual factor on the basis of statistical information and to predict these factors within the context of possible scenarios. Methods of statistical analysis and econometric modelling were used to build a gravity model and to assess its statistical significance and forecasting ability for economy. The methodological principles of the gravity theory in the context of the set tasks involve studying both regional GDP indicators and the geographical location and remoteness from the capital. The paper presents the influence of two macroeconomic aggregates on the dynamics of economic development -labour productivity and physical capital per worker, with account of their relationship to gravitational effects. The economic analysis uses regional statistical data available on the website of the State Statistical Service of Ukraine. As a result, three main conclusions were formulated. First, 2001-2008 was the most favourable period for the development of Ukrainian economy (after the restoration of Ukraine's independence in 1991). Second, future strong positions of the Northern Ukraine were identified (Kyiv city, Kyiv region with account taken of the expected side effect). Third, a long-term one, to implement the regional development policy the volume of regional investment should be increased. In turn, investment attractiveness of the remote regions, with a relatively low expected economic polarization, will also increase.
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