Vše

Co hledáte?

Vše
Projekty
Výsledky výzkumu
Subjekty

Rychlé hledání

  • Projekty podpořené TA ČR
  • Významné projekty
  • Projekty s nejvyšší státní podporou
  • Aktuálně běžící projekty

Chytré vyhledávání

  • Takto najdu konkrétní +slovo
  • Takto z výsledků -slovo zcela vynechám
  • “Takto můžu najít celou frázi”

Are All Disadvantaged Equal? Predictors of Living in Hostels in Czech Socially Excluded Localities

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11210%2F23%3A10464492" target="_blank" >RIV/00216208:11210/23:10464492 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=OyYf0zIhPm" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=OyYf0zIhPm</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.13060/csr.2023.002" target="_blank" >10.13060/csr.2023.002</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Are All Disadvantaged Equal? Predictors of Living in Hostels in Czech Socially Excluded Localities

  • Popis výsledku v původním jazyce

    This study explores the relationship between social exclusion and housing tenure. It seeks to identify the factors that increase the chance that in-habitants of socially excluded localities in Czechia will live in a hostel (a single room occupancy hotel). Do these factors indicate a higher intensity of social exclusion among people who live in hostels? Do hostels house the more dis-advantaged segment of the disadvantaged population, such as the inhabitants of socially excluded localities? Our aim is to produce a more nuanced under-standing of the different needs of the heterogeneous population of socially ex-cluded localities, which can be used to implement socially inclusive measures. We analyse data obtained in a survey of the population of excluded locali-ties. We apply binary logistic regression using socio-demographic and socio-economic characteristics of respondents and their households and variables measuring victimisation and respondents&apos; risk behaviour as predictors. Along with descriptive statistics we present the results of the simple and multiple binary logistic regressions. The multiple model revealed the following predic-tors to be statistically significant: the share of rent in household income, house-hold size, residential mobility, citizenship, labour status, criminal activity not punished by imprisonment, nationality/ethnicity, and property victimisation of the household. Except for the last two, these factors increase the chance of socially disadvantaged persons living in a hostel. Future research directions and the political implications of our findings are discussed in the conclusion.

  • Název v anglickém jazyce

    Are All Disadvantaged Equal? Predictors of Living in Hostels in Czech Socially Excluded Localities

  • Popis výsledku anglicky

    This study explores the relationship between social exclusion and housing tenure. It seeks to identify the factors that increase the chance that in-habitants of socially excluded localities in Czechia will live in a hostel (a single room occupancy hotel). Do these factors indicate a higher intensity of social exclusion among people who live in hostels? Do hostels house the more dis-advantaged segment of the disadvantaged population, such as the inhabitants of socially excluded localities? Our aim is to produce a more nuanced under-standing of the different needs of the heterogeneous population of socially ex-cluded localities, which can be used to implement socially inclusive measures. We analyse data obtained in a survey of the population of excluded locali-ties. We apply binary logistic regression using socio-demographic and socio-economic characteristics of respondents and their households and variables measuring victimisation and respondents&apos; risk behaviour as predictors. Along with descriptive statistics we present the results of the simple and multiple binary logistic regressions. The multiple model revealed the following predic-tors to be statistically significant: the share of rent in household income, house-hold size, residential mobility, citizenship, labour status, criminal activity not punished by imprisonment, nationality/ethnicity, and property victimisation of the household. Except for the last two, these factors increase the chance of socially disadvantaged persons living in a hostel. Future research directions and the political implications of our findings are discussed in the conclusion.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    50404 - Anthropology, ethnology

Návaznosti výsledku

  • Projekt

  • Návaznosti

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Ostatní

  • Rok uplatnění

    2023

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    Sociologický časopis / Czech Sociological Review

  • ISSN

    0038-0288

  • e-ISSN

    2336-128X

  • Svazek periodika

    59

  • Číslo periodika v rámci svazku

    1

  • Stát vydavatele periodika

    CZ - Česká republika

  • Počet stran výsledku

    29

  • Strana od-do

    65-93

  • Kód UT WoS článku

    000961323700003

  • EID výsledku v databázi Scopus