Suchergebnisse

Since the 1990s, Lithuania lost almost one-quarter of its population, and some regions within the country lost more than 50% of their residents. Such a sharp population decline poses major challenges to politicians, policy-makers and planners. The aim of this study is to obtain more insight into the recent processes of socio-spatial change and the role of selective migration in Lithuania. The main focus is on understanding who lives in those regions which are rapidly losing population, and who is most likely to leave these regions. This is one of the first studies to use individual-level Lithuanian census data from 2001 and 2011. We found that low socio-economic status residents and older residents dominate the population of shrinking regions, and unsurprisingly that the most 'successful' people are the most likely to leave such regions. This process of selective migration reinforces the negative downward spiral of declining regions. As a result, socio-spatial polarization is growing within the country, where people with higher socio-economic status are increasingly overrepresented in the largest city-regions, while the elderly and residents with a lower socio-economic status are overrepresented in declining rural regions. This paper provides empirical evidence of selective migration and increasing regional disparities in Lithuania. While the socio-spatial changes are obvious in Lithuania, there is no clear strategy on how to cope with extreme population decline and increasing regional inequalities within the country.

Since the 1990s, Lithuania lost almost one-quarter of its population, and some regions within the country lost more than 50% of their residents. Such a sharp population decline poses major challenges to politicians, policy-makers and planners. The aim of this study is to obtain more insight into the recent processes of socio-spatial change and the role of selective migration in Lithuania. The main focus is on understanding who lives in those regions which are rapidly losing population, and who is most likely to leave these regions. This is one of the first studies to use individual-level Lithuanian census data from 2001 and 2011. We found that low socio-economic status residents and older residents dominate the population of shrinking regions, and unsurprisingly that the most 'successful' people are the most likely to leave such regions. This process of selective migration reinforces the negative downward spiral of declining regions. As a result, socio-spatial polarization is growing within the country, where people with higher socio-economic status are increasingly overrepresented in the largest city-regions, while the elderly and residents with a lower socio-economic status are overrepresented in declining rural regions. This paper provides empirical evidence of selective migration and increasing regional disparities in Lithuania. While the socio-spatial changes are obvious in Lithuania, there is no clear strategy on how to cope with extreme population decline and increasing regional inequalities within the country.

Since the 1990s, Lithuania lost almost one-quarter of its population, and some regions within the country lost more than 50% of their residents. Such a sharp population decline poses major challenges to politicians, policy-makers and planners. The aim of this study is to obtain more insight into the recent processes of socio-spatial change and the role of selective migration in Lithuania. The main focus is on understanding who lives in those regions which are rapidly losing population, and who is most likely to leave these regions. This is one of the first studies to use individual-level Lithuanian census data from 2001 and 2011. We found that low socio-economic status residents and older residents dominate the population of shrinking regions, and unsurprisingly that the most 'successful' people are the most likely to leave such regions. This process of selective migration reinforces the negative downward spiral of declining regions. As a result, socio-spatial polarization is growing within the country, where people with higher socio-economic status are increasingly overrepresented in the largest city-regions, while the elderly and residents with a lower socio-economic status are overrepresented in declining rural regions. This paper provides empirical evidence of selective migration and increasing regional disparities in Lithuania. While the socio-spatial changes are obvious in Lithuania, there is no clear strategy on how to cope with extreme population decline and increasing regional inequalities within the country.

Since the 1990s, Lithuania lost almost one-quarter of its population, and some regions within the country lost more than 50% of their residents. Such a sharp population decline poses major challenges to politicians, policy-makers and planners. The aim of this study is to obtain more insight into the recent processes of socio-spatial change and the role of selective migration in Lithuania. The main focus is on understanding who lives in those regions which are rapidly losing population, and who is most likely to leave these regions. This is one of the first studies to use individual-level Lithuanian census data from 2001 and 2011. We found that low socio-economic status residents and older residents dominate the population of shrinking regions, and unsurprisingly that the most 'successful' people are the most likely to leave such regions. This process of selective migration reinforces the negative downward spiral of declining regions. As a result, socio-spatial polarization is growing within the country, where people with higher socio-economic status are increasingly overrepresented in the largest city-regions, while the elderly and residents with a lower socio-economic status are overrepresented in declining rural regions. This paper provides empirical evidence of selective migration and increasing regional disparities in Lithuania. While the socio-spatial changes are obvious in Lithuania, there is no clear strategy on how to cope with extreme population decline and increasing regional inequalities within the country.

Avtor v članku opredeli štiri faze razvoja prebivalstva v mestu Maribor. Hitri rasti števila prebivalstva v 60. letih 20. stoletja je sledila stagnacija v 80. letih in nato depopulacija v 90. letih in po letu 2000. V primerjavi z drugimi večjimi mesti v Sloveniji je bila depopulacija najbolj intenzivna prav v Mariboru (med letoma 1981 in 2008 se je število prebivalcev zmanjšalo za okoli 12 %). Naravni prirast je v mestu konstantno negativen vse od leta 1985 dalje, selitveni prirast pa je bil negativen med letoma 1992 in 2007. Maribor med večjimi slovenskimi mesti izkazuje tudi najbolj neugodno starostno sestavo prebivalstva z najvišjim deležem starega prebivalstva in najvišjim indeksom staranja, po zadnjem popisu prebivalstva pa zaostaja za drugimi mesti tudi po deležu prebivalstva z višje ali visoko šolsko izobrazbo, čeprav je drugo največje univerzitetno mesto v Sloveniji. Glede na ugotovljene demografske značilnosti se bo v naslednjih dveh desetletjih v mestu bistveno povečal delež prebivalstva v starosti nad 65 let, kar bo zahtevalo nove oblike organiziranja dejavnosti v mestu in prilagajanja starejši populaciji. ; Author identified four stages of demographic development in the city of Maribor (Slovenia). Population growth in the 1960s was followed by stagnation of population in the 1980s and depopulation in the 1990s and after 2000. In Maribor, compared with other major cities in Slovenia, depopulation have been more intensive (between 1981 and 2008, the population decreased by about 12 %). Natural growth is constantly negative from 1985 onwards, and net migration was negative between 1992 and 2007. Maribor is also showing the most unfavorable age structure of the population with the highest proportion of the elderly population and the highest aging index. Furthermore, according to the last census it lags behind other towns in the share of population with high school education, although it is the second largest university town in Slovenia. Considering the established demographic characteristics, and significant increase of the share of the population over 65 years in the next two decades, this will require new ways of organizing activities in the city and its adaption to the elderly population.