Understanding the Sustainable Development of Community (Social) Disaster Resilience in Serbia: Demographic and Socio-Economic Impacts

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Understanding the Sustainable Development of Community (Social) Disaster Resilience in Serbia: Demographic and Socio-Economic Impacts. / Cvetković, Vladimir; Šišović, Vanja.
In: sustainability, Vol. 16.2024, No. 7, 2620, 22.03.2024.

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@article{a1279a3e09344f1ead5b25ab1c45afbf,
title = "Understanding the Sustainable Development of Community (Social) Disaster Resilience in Serbia: Demographic and Socio-Economic Impacts",
abstract = "This paper presents the results of quantitative research examining the impacts of demographic and socioeconomic factors on the sustainable development of community disaster resilience. The survey was carried out utilizing a questionnaire distributed to, and subsequently collected online from, 321 participants during January 2024. The study employed an adapted version of the {\textquoteleft}5S{\textquoteright} social resilience framework (62 indicators), encompassing five sub-dimensions—social structure, social capital, social mechanisms, social equity and diversity, and social belief. To explore the relationship between predictors and the sustainable development of community disaster resilience in Serbia, various statistical methods, such as t-tests, one-way ANOVA, Pearson{\textquoteright}s correlation, and multivariate linear regression, were used. The results of the multivariate regressions across various community disaster resilience subscales indicate that age emerged as the most significant predictor for the social structure subscale. At the same time, education stood out as the primary predictor for the social capital subscale. Additionally, employment status proved to be the most influential predictor for both social mechanisms and social equity-diversity subscales, with property ownership being the key predictor for the social beliefs subscale. The findings can be used to create strategies and interventions aimed at enhancing the sustainable development of resilience in communities in Serbia by addressing the intricate interplay between demographic characteristics, socio-economic factors, and their ability to withstand, adapt to, and recover from different disasters.",
keywords = "community, demographic, disaster, impact, index, resilience, Serbia, social, socio-economic, sustainable development",
author = "Vladimir Cvetkovi{\'c} and Vanja {\v S}i{\v s}ovi{\'c}",
note = "Cvetkovi{\'c}, Vladimir M., and Vanja {\v S}i{\v s}ovi{\'c}. 2024. {"}Understanding the Sustainable Development of Community (Social) Disaster Resilience in Serbia: Demographic and Socio-Economic Impacts{"} Sustainability 16, no. 7: 2620. https://doi.org/10.3390/su16072620 Publisher Copyright: {\textcopyright} 2024 by the authors.",
year = "2024",
month = mar,
day = "22",
doi = "10.3390/su16072620",
language = "English",
volume = "16.2024",
journal = "sustainability",
issn = "2071-1050",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "7",

}

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TY - JOUR

T1 - Understanding the Sustainable Development of Community (Social) Disaster Resilience in Serbia: Demographic and Socio-Economic Impacts

AU - Cvetković, Vladimir

AU - Šišović, Vanja

N1 - Cvetković, Vladimir M., and Vanja Šišović. 2024. "Understanding the Sustainable Development of Community (Social) Disaster Resilience in Serbia: Demographic and Socio-Economic Impacts" Sustainability 16, no. 7: 2620. https://doi.org/10.3390/su16072620 Publisher Copyright: © 2024 by the authors.

PY - 2024/3/22

Y1 - 2024/3/22

N2 - This paper presents the results of quantitative research examining the impacts of demographic and socioeconomic factors on the sustainable development of community disaster resilience. The survey was carried out utilizing a questionnaire distributed to, and subsequently collected online from, 321 participants during January 2024. The study employed an adapted version of the ‘5S’ social resilience framework (62 indicators), encompassing five sub-dimensions—social structure, social capital, social mechanisms, social equity and diversity, and social belief. To explore the relationship between predictors and the sustainable development of community disaster resilience in Serbia, various statistical methods, such as t-tests, one-way ANOVA, Pearson’s correlation, and multivariate linear regression, were used. The results of the multivariate regressions across various community disaster resilience subscales indicate that age emerged as the most significant predictor for the social structure subscale. At the same time, education stood out as the primary predictor for the social capital subscale. Additionally, employment status proved to be the most influential predictor for both social mechanisms and social equity-diversity subscales, with property ownership being the key predictor for the social beliefs subscale. The findings can be used to create strategies and interventions aimed at enhancing the sustainable development of resilience in communities in Serbia by addressing the intricate interplay between demographic characteristics, socio-economic factors, and their ability to withstand, adapt to, and recover from different disasters.

AB - This paper presents the results of quantitative research examining the impacts of demographic and socioeconomic factors on the sustainable development of community disaster resilience. The survey was carried out utilizing a questionnaire distributed to, and subsequently collected online from, 321 participants during January 2024. The study employed an adapted version of the ‘5S’ social resilience framework (62 indicators), encompassing five sub-dimensions—social structure, social capital, social mechanisms, social equity and diversity, and social belief. To explore the relationship between predictors and the sustainable development of community disaster resilience in Serbia, various statistical methods, such as t-tests, one-way ANOVA, Pearson’s correlation, and multivariate linear regression, were used. The results of the multivariate regressions across various community disaster resilience subscales indicate that age emerged as the most significant predictor for the social structure subscale. At the same time, education stood out as the primary predictor for the social capital subscale. Additionally, employment status proved to be the most influential predictor for both social mechanisms and social equity-diversity subscales, with property ownership being the key predictor for the social beliefs subscale. The findings can be used to create strategies and interventions aimed at enhancing the sustainable development of resilience in communities in Serbia by addressing the intricate interplay between demographic characteristics, socio-economic factors, and their ability to withstand, adapt to, and recover from different disasters.

KW - community

KW - demographic

KW - disaster

KW - impact

KW - index

KW - resilience

KW - Serbia

KW - social

KW - socio-economic

KW - sustainable development

UR - https://doi.org/10.3390/su16072620

UR - http://www.scopus.com/inward/record.url?scp=85190255238&partnerID=8YFLogxK

U2 - 10.3390/su16072620

DO - 10.3390/su16072620

M3 - Article

VL - 16.2024

JO - sustainability

JF - sustainability

SN - 2071-1050

IS - 7

M1 - 2620

ER -