View in EDS HTML Full Text PDF Full Text

Concurrent disasters: Perceived administrative burdens and household coping capacities.

Saved in:
Bibliographic Details
Title: Concurrent disasters: Perceived administrative burdens and household coping capacities.
Authors: Sapat, Alka1 (AUTHOR) asapat@fau.edu, Mitsova, Diana2 (AUTHOR) dmitsova@fau.edu, Sweeting, Karen D.3 (AUTHOR) ksweeting@uri.edu, Esnard, Ann‐Margaret4 (AUTHOR) aesnard@gsu.edu, Escaleras, Monica5 (AUTHOR) mescaler@fau.edu
Source: Public Administration Review. Sep2023, Vol. 83 Issue 5, p1202-1220. 19p. 3 Diagrams, 4 Charts, 2 Graphs.
Subject Terms: *COVID-19 pandemic, *Employee assistance programs, Disaster relief, Extreme weather, Structural equation modeling, Logistic regression analysis, Psychological distress
Geographic Terms: Texas
Abstract: Weather‐related disasters during the COVID‐19 pandemic exacerbated the vulnerabilities of individuals and households, and concurrent disasters are becoming more of the norm as we face more extreme weather patterns. This study seeks to extend administrative burden scholarship to better understand the administrative burdens (real and perceived) that a citizen experiences when applying for disaster assistance while facing concurrent disasters. Using logistic regression analysis and Generalized Structural Equation Modeling, we analyze primary survey data from households in five Texas counties that were impacted by the 2021 Winter Storm Uri. Our findings indicate that learning, compliance, and psychological costs, disaster‐related damages, and infrastructure losses, coping with concurrent disasters during the pandemic, and social vulnerability factors, such as age and the lack of insurance increase administrative burdens and difficulties for disaster aid applicants. Practical implications include recommendations to more effectively address concurrent disasters and reduce associated administrative burdens and inequities in disaster assistance programs. [ABSTRACT FROM AUTHOR]
Copyright of Public Administration Review is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: ehh
DbLabel: Education Research Complete
An: 171105083
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Concurrent disasters: Perceived administrative burdens and household coping capacities.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Sapat%2C+Alka%22">Sapat, Alka</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> asapat@fau.edu</i><br /><searchLink fieldCode="AR" term="%22Mitsova%2C+Diana%22">Mitsova, Diana</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> dmitsova@fau.edu</i><br /><searchLink fieldCode="AR" term="%22Sweeting%2C+Karen+D%2E%22">Sweeting, Karen D.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> ksweeting@uri.edu</i><br /><searchLink fieldCode="AR" term="%22Esnard%2C+Ann‐Margaret%22">Esnard, Ann‐Margaret</searchLink><relatesTo>4</relatesTo> (AUTHOR)<i> aesnard@gsu.edu</i><br /><searchLink fieldCode="AR" term="%22Escaleras%2C+Monica%22">Escaleras, Monica</searchLink><relatesTo>5</relatesTo> (AUTHOR)<i> mescaler@fau.edu</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Public+Administration+Review%22">Public Administration Review</searchLink>. Sep2023, Vol. 83 Issue 5, p1202-1220. 19p. 3 Diagrams, 4 Charts, 2 Graphs.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22COVID-19+pandemic%22">COVID-19 pandemic</searchLink><br />*<searchLink fieldCode="DE" term="%22Employee+assistance+programs%22">Employee assistance programs</searchLink><br /><searchLink fieldCode="DE" term="%22Disaster+relief%22">Disaster relief</searchLink><br /><searchLink fieldCode="DE" term="%22Extreme+weather%22">Extreme weather</searchLink><br /><searchLink fieldCode="DE" term="%22Structural+equation+modeling%22">Structural equation modeling</searchLink><br /><searchLink fieldCode="DE" term="%22Logistic+regression+analysis%22">Logistic regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Psychological+distress%22">Psychological distress</searchLink>
– Name: SubjectGeographic
  Label: Geographic Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Texas%22">Texas</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Weather‐related disasters during the COVID‐19 pandemic exacerbated the vulnerabilities of individuals and households, and concurrent disasters are becoming more of the norm as we face more extreme weather patterns. This study seeks to extend administrative burden scholarship to better understand the administrative burdens (real and perceived) that a citizen experiences when applying for disaster assistance while facing concurrent disasters. Using logistic regression analysis and Generalized Structural Equation Modeling, we analyze primary survey data from households in five Texas counties that were impacted by the 2021 Winter Storm Uri. Our findings indicate that learning, compliance, and psychological costs, disaster‐related damages, and infrastructure losses, coping with concurrent disasters during the pandemic, and social vulnerability factors, such as age and the lack of insurance increase administrative burdens and difficulties for disaster aid applicants. Practical implications include recommendations to more effectively address concurrent disasters and reduce associated administrative burdens and inequities in disaster assistance programs. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Public Administration Review is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=171105083
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1111/puar.13637
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 19
        StartPage: 1202
    Subjects:
      – SubjectFull: COVID-19 pandemic
        Type: general
      – SubjectFull: Employee assistance programs
        Type: general
      – SubjectFull: Disaster relief
        Type: general
      – SubjectFull: Extreme weather
        Type: general
      – SubjectFull: Structural equation modeling
        Type: general
      – SubjectFull: Logistic regression analysis
        Type: general
      – SubjectFull: Psychological distress
        Type: general
      – SubjectFull: Texas
        Type: general
    Titles:
      – TitleFull: Concurrent disasters: Perceived administrative burdens and household coping capacities.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Sapat, Alka
      – PersonEntity:
          Name:
            NameFull: Mitsova, Diana
      – PersonEntity:
          Name:
            NameFull: Sweeting, Karen D.
      – PersonEntity:
          Name:
            NameFull: Esnard, Ann‐Margaret
      – PersonEntity:
          Name:
            NameFull: Escaleras, Monica
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 09
              Text: Sep2023
              Type: published
              Y: 2023
          Identifiers:
            – Type: issn-print
              Value: 00333352
          Numbering:
            – Type: volume
              Value: 83
            – Type: issue
              Value: 5
          Titles:
            – TitleFull: Public Administration Review
              Type: main
ResultId 1