Measurement and determinants of multidimensional urban poverty: Evidence from Shandong Province, China
China eliminated rural poverty under current poverty standards in 2020. However, compared with rural poverty, urban poverty in China has been somewhat neglected. This paper aims to discover the changes and determinants of multidimensional urban poverty in Shandong Province, a representative province...
Gespeichert in:
| Veröffentlicht in: | PloS one 2024-05, Vol.19 (5), p.e0300263-e0300263 |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | e0300263 |
|---|---|
| container_issue | 5 |
| container_start_page | e0300263 |
| container_title | PloS one |
| container_volume | 19 |
| creator | Zhao, Bo Cheah, Phaik Kin Moses, Priscilla |
| description | China eliminated rural poverty under current poverty standards in 2020. However, compared with rural poverty, urban poverty in China has been somewhat neglected. This paper aims to discover the changes and determinants of multidimensional urban poverty in Shandong Province, a representative province in Eastern China. Using a nationally representative panel dataset, the China Family Panel Studies, and the Dual Cutoff method, this study creates a multidimensional poverty index with four dimensions and 11 indicators to measure urban poverty in Shandong Province. This paper discovers that while the incidence of multidimensional urban poverty in Shandong Province decreased from 47.62% in 2010 to 36.45% in 2018, the intensity of multidimensional poverty only decreased from 41.27% to 37.25%, which indicates the inadequacy of urban anti-poverty efforts in Shandong Province. This paper also uses logistic regression to identify the determinants of multidimensional urban poverty. The findings suggest that income, health, drinking water, and durable goods are the main determinants of multidimensional urban poverty in Shandong Province. Based on these findings, this study provides targeted recommendations for future urban anti-poverty policies in Shandong Province. |
| doi_str_mv | 10.1371/journal.pone.0300263 |
| format | Article |
| fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_3069287972</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A794174321</galeid><doaj_id>oai_doaj_org_article_23b3192c68d4488e8af435f3b21dcb5b</doaj_id><sourcerecordid>A794174321</sourcerecordid><originalsourceid>FETCH-LOGICAL-c642t-8d4c78eb5e3bb423f54af12c8618a1c1dd1dcf2e936654ae50aeffb3e2bef7823</originalsourceid><addsrcrecordid>eNqNk99rFDEQxxdRbK3-B6ILBVHwzvzYzWZ9kXJUPahUrPoastnJXcpucibZw_73Zr1tuZM-SB4SZj7znckkk2XPMZpjWuF3127wVnbzjbMwRxQhwuiD7BjXlMwYQfTh3vkoexLCNUIl5Yw9zo4or0peVeVxpr-ADIOHHmzMpW3zFiL43lhpY8idzvuhi6Y1yR-MS_nywTfS5hu3BR9v3ufnW9OCVZBr7_r8ap00nF3lX73bmmR-my_WSexp9kjLLsCzaT_Jfnw8_774PLu4_LRcnF3MFCtInPG2UBWHpgTaNAWhuiykxkRxhrnECrctbpUmUFPGkgtKJEHrhgJpQFec0JPs5U5307kgphYFQRGrCa_qaiSWO6J18lpsvOmlvxFOGvHX4PxKSB-N6kAQ2lBcE8VSWQXnwKUuaKlpQ1IVTdkkrQ9TtqHpoVWph152B6KHHmvWYuW2AmOMMCrKpPB6UvDu1wAhit4EBV0nLbhhLLxkjBGMRvT0H_T-603USqYbGKtdSqxGUXFW1QWuCkpwoub3UGm10BuVPpQ2yX4Q8OYgIDERfseVHEIQy6tv_89e_jxkX-2xa5BdXAfXDTH9tXAIFjtQeReCB33XZYzEOA-33RDjPIhpHlLYi_0Xugu6HQD6B6kIBuE</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3069287972</pqid></control><display><type>article</type><title>Measurement and determinants of multidimensional urban poverty: Evidence from Shandong Province, China</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><source>Public Library of Science (PLoS)</source><creator>Zhao, Bo ; Cheah, Phaik Kin ; Moses, Priscilla</creator><creatorcontrib>Zhao, Bo ; Cheah, Phaik Kin ; Moses, Priscilla</creatorcontrib><description>China eliminated rural poverty under current poverty standards in 2020. However, compared with rural poverty, urban poverty in China has been somewhat neglected. This paper aims to discover the changes and determinants of multidimensional urban poverty in Shandong Province, a representative province in Eastern China. Using a nationally representative panel dataset, the China Family Panel Studies, and the Dual Cutoff method, this study creates a multidimensional poverty index with four dimensions and 11 indicators to measure urban poverty in Shandong Province. This paper discovers that while the incidence of multidimensional urban poverty in Shandong Province decreased from 47.62% in 2010 to 36.45% in 2018, the intensity of multidimensional poverty only decreased from 41.27% to 37.25%, which indicates the inadequacy of urban anti-poverty efforts in Shandong Province. This paper also uses logistic regression to identify the determinants of multidimensional urban poverty. The findings suggest that income, health, drinking water, and durable goods are the main determinants of multidimensional urban poverty in Shandong Province. Based on these findings, this study provides targeted recommendations for future urban anti-poverty policies in Shandong Province.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0300263</identifier><identifier>PMID: 38758775</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Access to education ; Biology and Life Sciences ; China ; Drinking water ; Earth Sciences ; Ecology and Environmental Sciences ; Engineering and Technology ; Family studies ; Households ; Humans ; Income ; Medicine and Health Sciences ; People and Places ; Physical Sciences ; Planned economy ; Poverty ; Rural areas ; Rural Population ; Rural poverty ; Social Sciences ; Socioeconomic Factors ; Standard of living ; United Kingdom ; Urban areas ; Urban poor ; Urban Population - statistics & numerical data ; Urban poverty</subject><ispartof>PloS one, 2024-05, Vol.19 (5), p.e0300263-e0300263</ispartof><rights>Copyright: © 2024 Zhao et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</rights><rights>COPYRIGHT 2024 Public Library of Science</rights><rights>2024 Zhao et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2024 Zhao et al 2024 Zhao et al</rights><rights>2024 Zhao et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c642t-8d4c78eb5e3bb423f54af12c8618a1c1dd1dcf2e936654ae50aeffb3e2bef7823</cites><orcidid>0000-0003-3050-5424 ; 0000-0002-4622-8903 ; 0000-0002-2615-5217</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11101045/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11101045/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79342,79343</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38758775$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhao, Bo</creatorcontrib><creatorcontrib>Cheah, Phaik Kin</creatorcontrib><creatorcontrib>Moses, Priscilla</creatorcontrib><title>Measurement and determinants of multidimensional urban poverty: Evidence from Shandong Province, China</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>China eliminated rural poverty under current poverty standards in 2020. However, compared with rural poverty, urban poverty in China has been somewhat neglected. This paper aims to discover the changes and determinants of multidimensional urban poverty in Shandong Province, a representative province in Eastern China. Using a nationally representative panel dataset, the China Family Panel Studies, and the Dual Cutoff method, this study creates a multidimensional poverty index with four dimensions and 11 indicators to measure urban poverty in Shandong Province. This paper discovers that while the incidence of multidimensional urban poverty in Shandong Province decreased from 47.62% in 2010 to 36.45% in 2018, the intensity of multidimensional poverty only decreased from 41.27% to 37.25%, which indicates the inadequacy of urban anti-poverty efforts in Shandong Province. This paper also uses logistic regression to identify the determinants of multidimensional urban poverty. The findings suggest that income, health, drinking water, and durable goods are the main determinants of multidimensional urban poverty in Shandong Province. Based on these findings, this study provides targeted recommendations for future urban anti-poverty policies in Shandong Province.</description><subject>Access to education</subject><subject>Biology and Life Sciences</subject><subject>China</subject><subject>Drinking water</subject><subject>Earth Sciences</subject><subject>Ecology and Environmental Sciences</subject><subject>Engineering and Technology</subject><subject>Family studies</subject><subject>Households</subject><subject>Humans</subject><subject>Income</subject><subject>Medicine and Health Sciences</subject><subject>People and Places</subject><subject>Physical Sciences</subject><subject>Planned economy</subject><subject>Poverty</subject><subject>Rural areas</subject><subject>Rural Population</subject><subject>Rural poverty</subject><subject>Social Sciences</subject><subject>Socioeconomic Factors</subject><subject>Standard of living</subject><subject>United Kingdom</subject><subject>Urban areas</subject><subject>Urban poor</subject><subject>Urban Population - statistics & numerical data</subject><subject>Urban poverty</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNk99rFDEQxxdRbK3-B6ILBVHwzvzYzWZ9kXJUPahUrPoastnJXcpucibZw_73Zr1tuZM-SB4SZj7znckkk2XPMZpjWuF3127wVnbzjbMwRxQhwuiD7BjXlMwYQfTh3vkoexLCNUIl5Yw9zo4or0peVeVxpr-ADIOHHmzMpW3zFiL43lhpY8idzvuhi6Y1yR-MS_nywTfS5hu3BR9v3ufnW9OCVZBr7_r8ap00nF3lX73bmmR-my_WSexp9kjLLsCzaT_Jfnw8_774PLu4_LRcnF3MFCtInPG2UBWHpgTaNAWhuiykxkRxhrnECrctbpUmUFPGkgtKJEHrhgJpQFec0JPs5U5307kgphYFQRGrCa_qaiSWO6J18lpsvOmlvxFOGvHX4PxKSB-N6kAQ2lBcE8VSWQXnwKUuaKlpQ1IVTdkkrQ9TtqHpoVWph152B6KHHmvWYuW2AmOMMCrKpPB6UvDu1wAhit4EBV0nLbhhLLxkjBGMRvT0H_T-603USqYbGKtdSqxGUXFW1QWuCkpwoub3UGm10BuVPpQ2yX4Q8OYgIDERfseVHEIQy6tv_89e_jxkX-2xa5BdXAfXDTH9tXAIFjtQeReCB33XZYzEOA-33RDjPIhpHlLYi_0Xugu6HQD6B6kIBuE</recordid><startdate>20240517</startdate><enddate>20240517</enddate><creator>Zhao, Bo</creator><creator>Cheah, Phaik Kin</creator><creator>Moses, Priscilla</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-3050-5424</orcidid><orcidid>https://orcid.org/0000-0002-4622-8903</orcidid><orcidid>https://orcid.org/0000-0002-2615-5217</orcidid></search><sort><creationdate>20240517</creationdate><title>Measurement and determinants of multidimensional urban poverty: Evidence from Shandong Province, China</title><author>Zhao, Bo ; Cheah, Phaik Kin ; Moses, Priscilla</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c642t-8d4c78eb5e3bb423f54af12c8618a1c1dd1dcf2e936654ae50aeffb3e2bef7823</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Access to education</topic><topic>Biology and Life Sciences</topic><topic>China</topic><topic>Drinking water</topic><topic>Earth Sciences</topic><topic>Ecology and Environmental Sciences</topic><topic>Engineering and Technology</topic><topic>Family studies</topic><topic>Households</topic><topic>Humans</topic><topic>Income</topic><topic>Medicine and Health Sciences</topic><topic>People and Places</topic><topic>Physical Sciences</topic><topic>Planned economy</topic><topic>Poverty</topic><topic>Rural areas</topic><topic>Rural Population</topic><topic>Rural poverty</topic><topic>Social Sciences</topic><topic>Socioeconomic Factors</topic><topic>Standard of living</topic><topic>United Kingdom</topic><topic>Urban areas</topic><topic>Urban poor</topic><topic>Urban Population - statistics & numerical data</topic><topic>Urban poverty</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhao, Bo</creatorcontrib><creatorcontrib>Cheah, Phaik Kin</creatorcontrib><creatorcontrib>Moses, Priscilla</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhao, Bo</au><au>Cheah, Phaik Kin</au><au>Moses, Priscilla</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Measurement and determinants of multidimensional urban poverty: Evidence from Shandong Province, China</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2024-05-17</date><risdate>2024</risdate><volume>19</volume><issue>5</issue><spage>e0300263</spage><epage>e0300263</epage><pages>e0300263-e0300263</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>China eliminated rural poverty under current poverty standards in 2020. However, compared with rural poverty, urban poverty in China has been somewhat neglected. This paper aims to discover the changes and determinants of multidimensional urban poverty in Shandong Province, a representative province in Eastern China. Using a nationally representative panel dataset, the China Family Panel Studies, and the Dual Cutoff method, this study creates a multidimensional poverty index with four dimensions and 11 indicators to measure urban poverty in Shandong Province. This paper discovers that while the incidence of multidimensional urban poverty in Shandong Province decreased from 47.62% in 2010 to 36.45% in 2018, the intensity of multidimensional poverty only decreased from 41.27% to 37.25%, which indicates the inadequacy of urban anti-poverty efforts in Shandong Province. This paper also uses logistic regression to identify the determinants of multidimensional urban poverty. The findings suggest that income, health, drinking water, and durable goods are the main determinants of multidimensional urban poverty in Shandong Province. Based on these findings, this study provides targeted recommendations for future urban anti-poverty policies in Shandong Province.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>38758775</pmid><doi>10.1371/journal.pone.0300263</doi><orcidid>https://orcid.org/0000-0003-3050-5424</orcidid><orcidid>https://orcid.org/0000-0002-4622-8903</orcidid><orcidid>https://orcid.org/0000-0002-2615-5217</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1932-6203 |
| ispartof | PloS one, 2024-05, Vol.19 (5), p.e0300263-e0300263 |
| issn | 1932-6203 1932-6203 |
| language | eng |
| recordid | cdi_plos_journals_3069287972 |
| source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Free Full-Text Journals in Chemistry; Public Library of Science (PLoS) |
| subjects | Access to education Biology and Life Sciences China Drinking water Earth Sciences Ecology and Environmental Sciences Engineering and Technology Family studies Households Humans Income Medicine and Health Sciences People and Places Physical Sciences Planned economy Poverty Rural areas Rural Population Rural poverty Social Sciences Socioeconomic Factors Standard of living United Kingdom Urban areas Urban poor Urban Population - statistics & numerical data Urban poverty |
| title | Measurement and determinants of multidimensional urban poverty: Evidence from Shandong Province, China |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-10T01%3A26%3A00IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Measurement%20and%20determinants%20of%20multidimensional%20urban%20poverty:%20Evidence%20from%20Shandong%20Province,%20China&rft.jtitle=PloS%20one&rft.au=Zhao,%20Bo&rft.date=2024-05-17&rft.volume=19&rft.issue=5&rft.spage=e0300263&rft.epage=e0300263&rft.pages=e0300263-e0300263&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0300263&rft_dat=%3Cgale_plos_%3EA794174321%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=3069287972&rft_id=info:pmid/38758775&rft_galeid=A794174321&rft_doaj_id=oai_doaj_org_article_23b3192c68d4488e8af435f3b21dcb5b&rfr_iscdi=true |