Suchergebnisse

The volatile political and institutional scene in Europe implies that future migration-related decision making can be re-assessed. Implications that migrants face might lead to a remarkable shift in migration trajectories and the need to adopt various future geographic mobility decisions. Therefore, this paper demonstrates to what extent the experimental approach can illustrate future migration-related decision making. This study explores the geographic selectivity of migration intensions of international students under four hypothetical scenarios. The data was collected in 2019 from a sample of international students in Latvia, accounting for 500 experimental participants.The findings suggest that majority of international students studying in Latvia would prefer relocation. Besides, it is indicative that institutional barriers such as the need for a visa are much less critical than economic conditions, wage level and overall quality of life. Such indicative factors as wage level increase in Latvia would substantially boost the possibility to stay in Latvia; however, changes related to family or personal reasons are essential triggers for the students to return to their home countries.

The theory of Demographic Transition stipulates that the number of countries with the replacement and sub-replacement level of the total fertility rate is growing. In these conditions, population dynamics and the sex and age composition are increasingly affected by migration. The above holds true for Eastern European countries. Population decline has haunted Latvia for two and a half decades. Since 1990, the net migration rate has been negative, which contributes to depopulation. This study aims to reveal the effect of migration on the sex and age composition across Latvia and its largest cities. The authors consider hypothetical transformations in the country's age structure in 2000-2015 in the case of zero net migration. The study uses the cohort component methods and considers the actual agespecific mortality and birth rates. The analysis of the results obtained for the population of Latvia and its individual cities makes it possible to identify temporal and age/space features of migration. A comparison of the official data with net migration rates calculated for different age groups ensures a more accurate estimate of the actual volume and direction of migration flows for certain Latvian cities. The method for calculating net migration for the selected age groups, described in the article, may narrow the gaps in the current migration statistics and reveal the territorial inhomogeneity of demographic processes.

This paper links geographies of in-flow international students to the higher education system in Latvia and destination country choice rationales. Latvia welcomes international students from diverse geographies. Besides specific sourcing countries like Germany and India, there are also considerably constant and stable flows from former Soviet countries. International students are both an essential source of revenue for higher education institutions and to some extent, replacement of decrease of local students. This study adopts a mixed-method approach and based on the analysis of official statistical data and survey data. The survey reveals views on decision-making process and motives of current full-time international students in Latvia. The results indicate that to an extent, geography sets the main motives for study choice in Latvia. Seldom Latvia is set as the only priority destination country. On the one hand, among others balanced costs and accessibility of quality education in English attract foreign students, thus providing 'second chance' to be successful. On the other hand, Latvia gives the prerogative to have education in the European Union which for long-distance travelled students is a life-time opportunity.

AbstractThe twin phenomena of ageing populations and declining populations are profoundly transforming societies and economies in Europe. Driven by decreasing fertility rates and the continuing increased life expectancy, populations have not been ageing uniformly across time and space. In an increasingly urbanized world, the spatial distribution of the young and the elderly is a matter of growing scholarly and policy interest. In Europe, this process is more pronounced in peripheral areas than in the core regions, while the development of metropolitan areas is associated with suburbanization predominantly driven by young in‐migrants. Latvia is an interesting case study for studying population ageing and its spatial imbalances due to the key role of emigration in population decline and ageing. By employing descriptive and spatial analysis, this study uses data from the Latvian census and population register to explore the relationships between population change and ageing processes. Global Moran's I and the local indicators of spatial association were used to identify spatial systems. The study confirmed global and local spatial autocorrelation for the both examined age variables. Using the Getis‐Ord Gi* method identified spatial clusters of the young and the elderly. We found more pronounced residential clustering of the elderly aged 75 and over in the depopulating region of Latgale, whereas the Riga metropolitan region and areas around the largest towns tend to cluster young residents.

This paper aims to shed light on work-life balance in Latvia during the state of emergency. The COVID-19 outbreak has led many governments to introduce lockdowns. While the restrictions imposed may help to contain the spread of the virus, they may also result in substantial damage to the well-being of the population. The COVID-19 outbreak in Latvia demonstrates the extent and ways in which socio-demographics has determined different patterns of behaviour, attitudes, employment changes and harmonised work and life balance. The study describes the development of COVID-19 in the country chronologically. It shows labour migration to and from Latvia before the COVID-19 outbreak, and then discusses geographical features of the distribution of confirmed COVID-19 cases. The extent of the COVID-19 threat is
assessed focusing on the global, national, regional and intra-family levels. Finally, types of employment and work-life balance are analysed according to the geography and age groups.