Abstract:This paper reports on a comprehensive evaluation of socio-spatial inequalities as a means of analysing spatial exclusion in line with demographic, social and economic components expressed using 20 key indicators. The utilised method of grouping into quartiles was able to demonstrate increasingly pronounced polarisation trends in Lithuania, with widening disparities to be noted, both between the major cities of Vilnius, Kaunas and Klaipėda and their regions, and between peripheral areas of the country. The leve… Show more
“…The greatest problem is that the lowest concentration of the customer services is typical of most peripheral municipal LAU 2 regions where the inhabitants find it most difficult to access services in the municipal centres" (Baranauskienė, 2021, p. 222). Similar studies reveal how the principle of the "center-periphery" model works; where the largest cities experience the least territorial isolation and act as overall centers of attraction, whereas the peripheral areas experience high territorial isolation (Pociūtė-Sereikienė, Baranauskienė, & Daugirdas, 2019a.…”
Section: Spatial Perspective and Regional Socio-economic Development:...mentioning
confidence: 75%
“…Researchers in this field are especially cognizant of the problems of uneven regional development in Lithuania, where aspects of socio-economic well-being were analyzed not only in the whole country, but also detail urban and rural (peripheral) problems (Daugirdas et al, 2019). For example, Pociūtė-Sereikienė et al (2019a; have comprehensively assessed the spatial exclusion of Lithuanian municipalities including demographic, social and economic indicators and evaluated which municipalities experience high, medium, and non-spatial exclusion (Pociūtė-Sereikienė et al, 2019a. Referring to Baranauskienė (2021), it is important to focus on the socio-territorial segregation of sparsely populated areas in Lithuania.…”
Section: Linking Contextual Indicators: National Experience In Measur...mentioning
Drawing on recent research perspectives, the book discusses how social investment policies could be responsive to territorial inequalities in terms of better policy coordination, capacities, and institutional infrastructures' adaptability to territorial needs. By combining theoretical notions about territorial cohesion, territorial development, and social investment, the book provides an argument for the "territorialization of social investment policy" in the case of Lithuania. Featuring a range of contributors, the book inspires us to look differently at the territorial sensitivity of welfare policy strategies implemented in advantaged developing areas and those which are disadvantaged peripheral territories.
“…The greatest problem is that the lowest concentration of the customer services is typical of most peripheral municipal LAU 2 regions where the inhabitants find it most difficult to access services in the municipal centres" (Baranauskienė, 2021, p. 222). Similar studies reveal how the principle of the "center-periphery" model works; where the largest cities experience the least territorial isolation and act as overall centers of attraction, whereas the peripheral areas experience high territorial isolation (Pociūtė-Sereikienė, Baranauskienė, & Daugirdas, 2019a.…”
Section: Spatial Perspective and Regional Socio-economic Development:...mentioning
confidence: 75%
“…Researchers in this field are especially cognizant of the problems of uneven regional development in Lithuania, where aspects of socio-economic well-being were analyzed not only in the whole country, but also detail urban and rural (peripheral) problems (Daugirdas et al, 2019). For example, Pociūtė-Sereikienė et al (2019a; have comprehensively assessed the spatial exclusion of Lithuanian municipalities including demographic, social and economic indicators and evaluated which municipalities experience high, medium, and non-spatial exclusion (Pociūtė-Sereikienė et al, 2019a. Referring to Baranauskienė (2021), it is important to focus on the socio-territorial segregation of sparsely populated areas in Lithuania.…”
Section: Linking Contextual Indicators: National Experience In Measur...mentioning
Drawing on recent research perspectives, the book discusses how social investment policies could be responsive to territorial inequalities in terms of better policy coordination, capacities, and institutional infrastructures' adaptability to territorial needs. By combining theoretical notions about territorial cohesion, territorial development, and social investment, the book provides an argument for the "territorialization of social investment policy" in the case of Lithuania. Featuring a range of contributors, the book inspires us to look differently at the territorial sensitivity of welfare policy strategies implemented in advantaged developing areas and those which are disadvantaged peripheral territories.
“…The relevant problems have far-reaching consequences, and they have been extensively researched [16][17][18][19][20][21][22][23][24][25][26]. According to German [2,3,27], Lithuanian [28,29], and Polish [30,31] experts, the fact that border areas are not included in academic research means that these areas remain in the shadow, while they need reliable studies, including demographic ones, to be able to draw correct conclusions about their specific challenges and development needs [32]. Preparation and development of appropriate aid programs are needed, among others, to function within Euroregions.…”
Demographic potential is a particularly important consideration in border areas that are peripheral regions of a country. The aim of this study was to identify differences in the quantitative demographic potential of Polish–German and Polish–Lithuanian transborder regions, as well as the extent to which natural population increase and net migration influence the demographic potential of border regions. An essential element of the research was the analysis of the importance of borders on shaping the quantitative demographic potential. The study relied on the zeroed unitarization method and the method proposed by Webb. The study revealed considerable spatial variation in the quantitative demographic potential of the analyzed regions at LAU 1 (Local Administrative Units) on the background of NUTS 0 (Nomenclature of Territorial Units for Statistics) and NUTS 2. The highest values were noted in urban units, which accounted for 11.0% of all evaluated units. The areas characterized by the lowest demographic potential represented 16.5% of the total number of the analyzed units, which should be regarded as a positive outcome. Most of these border regions were situated in Germany and Lithuania. Demographic potential is an important determinant of social and economic growth; therefore, the results of this study can be used to diagnose problems in border regions and implement the required regional policies.
“…The availability of services (including medical services) is one of the basic criteria differentiating quality of life (Martens 2016) both in the countryside (Hiscock et al 2008) and in cities (Knox 1982). Accessibility to services is therefore an important determinant of socio-spatial inequalities (Farrington and Farrington 2005;Jaroš 2017;Pociūtė-Sereikienė, Baranauskienė, and Daugirdas 2019).…”
The designation of peripheral areas with poor access to health care services is a key criterion for possible support from various targeted programmes or strategies. The proper delineation of the periphery relies on many factors, including (1) the accessibility measure adopted (proximity approach, population percentage, cumulative accessibility, potential accessibility and accessibility measure with competition); (2) the type of medical service (pharmacies, basic health care facilities, emergency health care services, hospitals and specialized health care services); (3) the method of determining the periphery area (fixed threshold vs worst deciles). We conclude that methodological assumptions concerning types of medical services, measures of accessibility or the way of determining the periphery should be precisely identified and tailored to a particular policy and case-study area, as even small differences may have a decisive impact on identification of municipalities belonging to a health care desert. Therefore, planners and decision makers should take note of this fact when evaluating funds both for improving accessibility through transport investments as well as for deciding the location of new health care facilities.
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