Mapping gendered vulnerability to energy poverty in Romania

Gender inequities and their territorial impact (by a dissociate modelling of social relations) are of more and more interest for scholars, including the research studies regarding energy poverty. This paper analyzes spatial and social gender differentiations in Romania as indicators of vulnerability...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Applied spatial analysis and policy 2022-12, Vol.15 (4), p.1319-1338
1. Verfasser: Bîrsănuc, Elena-Manuela
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 1338
container_issue 4
container_start_page 1319
container_title Applied spatial analysis and policy
container_volume 15
creator Bîrsănuc, Elena-Manuela
description Gender inequities and their territorial impact (by a dissociate modelling of social relations) are of more and more interest for scholars, including the research studies regarding energy poverty. This paper analyzes spatial and social gender differentiations in Romania as indicators of vulnerability to energy poverty. The link between gender discrepancies and the susceptibility to energy poverty is enhanced by a series of gender-sensitive indicators and their impact in the 3181 territorial-administrative units in Romania. Spatial and statistical analyzes are, therefore, performed for indicators of vulnerable groups: age factors (population older than 75 years old; children with ages up to 4 years old), dependency indices (age dependency; economic dependency), health status (population with disabilities or limitative illnesses), employment status (unemployed, part-time employed, pensioners), or living conditions (dwellings without electricity, dwellings without heat services). The interrelations of different social axes and their territorial variations is demonstrated trough Principal Components Analysis and the results are spatialized using Multivariate Clustering, resulting vulnerability maps with a high-level of predictability. Even though results show gender discrepancies in rural areas, the female population is more prone to being energy poor due to the higher number of gender-sensitive indicators present within the same area. Based on these findings, enhancement measures can be taken for these communities so as to reduce the level of vulnerability and assure a socio-economic status beyond poverty; once the vulnerability is mapped, it is the responsibility of the local and national authorities to take action.
doi_str_mv 10.1007/s12061-022-09442-6
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2747552218</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2747552218</sourcerecordid><originalsourceid>FETCH-LOGICAL-c319t-f871871517237373c41232d852c18eeb2d9081b009fba842b7481e77837027b3</originalsourceid><addsrcrecordid>eNp9kEtLxDAUhYMoOI7-AVcF19Hcm7RJcSWDLxgRZBbuQtqmpUMnrUk7MP_eaEV3chf3wTnnwkfIJbBrYEzeBECWAWWIlOVCIM2OyAKUFFRkCMe_M38_JWchbBnLpErFgty-mGFoXZM01lXW2yrZT52z3hRt146HZOwTG9fmkAz93vp4aV3y1u-Ma805OalNF-zFT1-SzcP9ZvVE16-Pz6u7NS055COtlYzfIQWJXMYqBSDHSqVYgrK2wCpnCgrG8rowSmAhhQIrpeKSoSz4klzNsYPvPyYbRr3tJ-_iR41SyDRFBBVVOKtK34fgba0H3-6MP2hg-ouRnhnpyEh_M9JZNPHZFKLYNdb_Rf_j-gRcy2e3</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2747552218</pqid></control><display><type>article</type><title>Mapping gendered vulnerability to energy poverty in Romania</title><source>PAIS Index</source><source>SpringerLink Journals - AutoHoldings</source><creator>Bîrsănuc, Elena-Manuela</creator><creatorcontrib>Bîrsănuc, Elena-Manuela</creatorcontrib><description>Gender inequities and their territorial impact (by a dissociate modelling of social relations) are of more and more interest for scholars, including the research studies regarding energy poverty. This paper analyzes spatial and social gender differentiations in Romania as indicators of vulnerability to energy poverty. The link between gender discrepancies and the susceptibility to energy poverty is enhanced by a series of gender-sensitive indicators and their impact in the 3181 territorial-administrative units in Romania. Spatial and statistical analyzes are, therefore, performed for indicators of vulnerable groups: age factors (population older than 75 years old; children with ages up to 4 years old), dependency indices (age dependency; economic dependency), health status (population with disabilities or limitative illnesses), employment status (unemployed, part-time employed, pensioners), or living conditions (dwellings without electricity, dwellings without heat services). The interrelations of different social axes and their territorial variations is demonstrated trough Principal Components Analysis and the results are spatialized using Multivariate Clustering, resulting vulnerability maps with a high-level of predictability. Even though results show gender discrepancies in rural areas, the female population is more prone to being energy poor due to the higher number of gender-sensitive indicators present within the same area. Based on these findings, enhancement measures can be taken for these communities so as to reduce the level of vulnerability and assure a socio-economic status beyond poverty; once the vulnerability is mapped, it is the responsibility of the local and national authorities to take action.</description><identifier>ISSN: 1874-463X</identifier><identifier>EISSN: 1874-4621</identifier><identifier>DOI: 10.1007/s12061-022-09442-6</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Disabilities ; Disability pensions ; Electricity ; Energy ; Gender ; Gender inequality ; Human Geography ; Indicators ; Landscape/Regional and Urban Planning ; Living conditions ; Part time employment ; Poverty ; Principal components analysis ; Regional/Spatial Science ; Rural areas ; Rural population ; Social relations ; Social Sciences ; Socioeconomic status ; Socioeconomics</subject><ispartof>Applied spatial analysis and policy, 2022-12, Vol.15 (4), p.1319-1338</ispartof><rights>The Author(s), under exclusive licence to Springer Nature B.V. 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c319t-f871871517237373c41232d852c18eeb2d9081b009fba842b7481e77837027b3</citedby><cites>FETCH-LOGICAL-c319t-f871871517237373c41232d852c18eeb2d9081b009fba842b7481e77837027b3</cites><orcidid>0000-0003-0162-474X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s12061-022-09442-6$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s12061-022-09442-6$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27866,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Bîrsănuc, Elena-Manuela</creatorcontrib><title>Mapping gendered vulnerability to energy poverty in Romania</title><title>Applied spatial analysis and policy</title><addtitle>Appl. Spatial Analysis</addtitle><description>Gender inequities and their territorial impact (by a dissociate modelling of social relations) are of more and more interest for scholars, including the research studies regarding energy poverty. This paper analyzes spatial and social gender differentiations in Romania as indicators of vulnerability to energy poverty. The link between gender discrepancies and the susceptibility to energy poverty is enhanced by a series of gender-sensitive indicators and their impact in the 3181 territorial-administrative units in Romania. Spatial and statistical analyzes are, therefore, performed for indicators of vulnerable groups: age factors (population older than 75 years old; children with ages up to 4 years old), dependency indices (age dependency; economic dependency), health status (population with disabilities or limitative illnesses), employment status (unemployed, part-time employed, pensioners), or living conditions (dwellings without electricity, dwellings without heat services). The interrelations of different social axes and their territorial variations is demonstrated trough Principal Components Analysis and the results are spatialized using Multivariate Clustering, resulting vulnerability maps with a high-level of predictability. Even though results show gender discrepancies in rural areas, the female population is more prone to being energy poor due to the higher number of gender-sensitive indicators present within the same area. Based on these findings, enhancement measures can be taken for these communities so as to reduce the level of vulnerability and assure a socio-economic status beyond poverty; once the vulnerability is mapped, it is the responsibility of the local and national authorities to take action.</description><subject>Disabilities</subject><subject>Disability pensions</subject><subject>Electricity</subject><subject>Energy</subject><subject>Gender</subject><subject>Gender inequality</subject><subject>Human Geography</subject><subject>Indicators</subject><subject>Landscape/Regional and Urban Planning</subject><subject>Living conditions</subject><subject>Part time employment</subject><subject>Poverty</subject><subject>Principal components analysis</subject><subject>Regional/Spatial Science</subject><subject>Rural areas</subject><subject>Rural population</subject><subject>Social relations</subject><subject>Social Sciences</subject><subject>Socioeconomic status</subject><subject>Socioeconomics</subject><issn>1874-463X</issn><issn>1874-4621</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>7TQ</sourceid><recordid>eNp9kEtLxDAUhYMoOI7-AVcF19Hcm7RJcSWDLxgRZBbuQtqmpUMnrUk7MP_eaEV3chf3wTnnwkfIJbBrYEzeBECWAWWIlOVCIM2OyAKUFFRkCMe_M38_JWchbBnLpErFgty-mGFoXZM01lXW2yrZT52z3hRt146HZOwTG9fmkAz93vp4aV3y1u-Ma805OalNF-zFT1-SzcP9ZvVE16-Pz6u7NS055COtlYzfIQWJXMYqBSDHSqVYgrK2wCpnCgrG8rowSmAhhQIrpeKSoSz4klzNsYPvPyYbRr3tJ-_iR41SyDRFBBVVOKtK34fgba0H3-6MP2hg-ouRnhnpyEh_M9JZNPHZFKLYNdb_Rf_j-gRcy2e3</recordid><startdate>20221201</startdate><enddate>20221201</enddate><creator>Bîrsănuc, Elena-Manuela</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TQ</scope><scope>DHY</scope><scope>DON</scope><orcidid>https://orcid.org/0000-0003-0162-474X</orcidid></search><sort><creationdate>20221201</creationdate><title>Mapping gendered vulnerability to energy poverty in Romania</title><author>Bîrsănuc, Elena-Manuela</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c319t-f871871517237373c41232d852c18eeb2d9081b009fba842b7481e77837027b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Disabilities</topic><topic>Disability pensions</topic><topic>Electricity</topic><topic>Energy</topic><topic>Gender</topic><topic>Gender inequality</topic><topic>Human Geography</topic><topic>Indicators</topic><topic>Landscape/Regional and Urban Planning</topic><topic>Living conditions</topic><topic>Part time employment</topic><topic>Poverty</topic><topic>Principal components analysis</topic><topic>Regional/Spatial Science</topic><topic>Rural areas</topic><topic>Rural population</topic><topic>Social relations</topic><topic>Social Sciences</topic><topic>Socioeconomic status</topic><topic>Socioeconomics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bîrsănuc, Elena-Manuela</creatorcontrib><collection>CrossRef</collection><collection>PAIS Index</collection><collection>PAIS International</collection><collection>PAIS International (Ovid)</collection><jtitle>Applied spatial analysis and policy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bîrsănuc, Elena-Manuela</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Mapping gendered vulnerability to energy poverty in Romania</atitle><jtitle>Applied spatial analysis and policy</jtitle><stitle>Appl. Spatial Analysis</stitle><date>2022-12-01</date><risdate>2022</risdate><volume>15</volume><issue>4</issue><spage>1319</spage><epage>1338</epage><pages>1319-1338</pages><issn>1874-463X</issn><eissn>1874-4621</eissn><abstract>Gender inequities and their territorial impact (by a dissociate modelling of social relations) are of more and more interest for scholars, including the research studies regarding energy poverty. This paper analyzes spatial and social gender differentiations in Romania as indicators of vulnerability to energy poverty. The link between gender discrepancies and the susceptibility to energy poverty is enhanced by a series of gender-sensitive indicators and their impact in the 3181 territorial-administrative units in Romania. Spatial and statistical analyzes are, therefore, performed for indicators of vulnerable groups: age factors (population older than 75 years old; children with ages up to 4 years old), dependency indices (age dependency; economic dependency), health status (population with disabilities or limitative illnesses), employment status (unemployed, part-time employed, pensioners), or living conditions (dwellings without electricity, dwellings without heat services). The interrelations of different social axes and their territorial variations is demonstrated trough Principal Components Analysis and the results are spatialized using Multivariate Clustering, resulting vulnerability maps with a high-level of predictability. Even though results show gender discrepancies in rural areas, the female population is more prone to being energy poor due to the higher number of gender-sensitive indicators present within the same area. Based on these findings, enhancement measures can be taken for these communities so as to reduce the level of vulnerability and assure a socio-economic status beyond poverty; once the vulnerability is mapped, it is the responsibility of the local and national authorities to take action.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s12061-022-09442-6</doi><tpages>20</tpages><orcidid>https://orcid.org/0000-0003-0162-474X</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 1874-463X
ispartof Applied spatial analysis and policy, 2022-12, Vol.15 (4), p.1319-1338
issn 1874-463X
1874-4621
language eng
recordid cdi_proquest_journals_2747552218
source PAIS Index; SpringerLink Journals - AutoHoldings
subjects Disabilities
Disability pensions
Electricity
Energy
Gender
Gender inequality
Human Geography
Indicators
Landscape/Regional and Urban Planning
Living conditions
Part time employment
Poverty
Principal components analysis
Regional/Spatial Science
Rural areas
Rural population
Social relations
Social Sciences
Socioeconomic status
Socioeconomics
title Mapping gendered vulnerability to energy poverty in Romania
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-25T22%3A01%3A20IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Mapping%20gendered%20vulnerability%20to%20energy%20poverty%20in%20Romania&rft.jtitle=Applied%20spatial%20analysis%20and%20policy&rft.au=B%C3%AErs%C4%83nuc,%20Elena-Manuela&rft.date=2022-12-01&rft.volume=15&rft.issue=4&rft.spage=1319&rft.epage=1338&rft.pages=1319-1338&rft.issn=1874-463X&rft.eissn=1874-4621&rft_id=info:doi/10.1007/s12061-022-09442-6&rft_dat=%3Cproquest_cross%3E2747552218%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2747552218&rft_id=info:pmid/&rfr_iscdi=true