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    RISS 인기검색어

      Polarized social distancing: Residents of Republican‐majority counties spend more time away from home during the COVID‐19 crisis

      한글로보기

      https://www.riss.kr/link?id=O111927548

      • 저자
      • 발행기관
      • 학술지명
      • 권호사항
      • 발행연도

        2021년

      • 작성언어

        -

      • Print ISSN

        0038-4941

      • Online ISSN

        1540-6237

      • 등재정보

        SSCI;SCOPUS

      • 자료형태

        학술저널

      • 수록면

        2516-2527   [※수록면이 p5 이하이면, Review, Columns, Editor's Note, Abstract 등일 경우가 있습니다.]

      • 구독기관
        • 전북대학교 중앙도서관  
        • 성균관대학교 중앙학술정보관  
        • 부산대학교 중앙도서관  
        • 전남대학교 중앙도서관  
        • 제주대학교 중앙도서관  
        • 중앙대학교 서울캠퍼스 중앙도서관  
        • 인천대학교 학산도서관  
        • 숙명여자대학교 중앙도서관  
        • 서강대학교 로욜라중앙도서관  
        • 계명대학교 동산도서관  
        • 충남대학교 중앙도서관  
        • 한양대학교 백남학술정보관  
        • 이화여자대학교 중앙도서관  
        • 고려대학교 도서관  
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      부가정보

      다국어 초록 (Multilingual Abstract)

      The COVID‐19 pandemic has presented unique challenges across the world in getting citizens to change their behaviors in response to a public health crisis. In the United States, it appears that partisan differences in willingness to comply with these measures have emerged: Democrats are typically more supportive than Republicans in their stated support of and willingness to comply with these measures. However, actual behaviors are notoriously hard to accurately capture with survey items.
      To determine the extent to which county‐level partisanship influences average willingness to stay at home, and how these effects are moderated by county level characteristics.
      We use personal device (cell phone) data provided by SafeGraph, aggregated at the county‐level, to determine how county‐level partisanship is correlated with willigness to stay at home. We additionally test whether these effects are conditional upon the prevalence of COVID‐19 in the county, and the percentage of the county under 30 years old.
      We find that county‐level partisanship predicts aggregate level compliance with social distancing behavior—citizens of counties that are more Republican spend more time away from home than Democratic counties. We find that the number of COVID‐19 cases in the county and the percentage of the county under the age of 30 moderate these effects.
      Partisanship appears to be a powerful predictor, at the county‐level, of willigness to follow stay at home orders in the early stages of the COVID‐19 pandemic.
      번역하기

      The COVID‐19 pandemic has presented unique challenges across the world in getting citizens to change their behaviors in response to a public health crisis. In the United States, it appears that partisan differences in willingness to comply with thes...

      The COVID‐19 pandemic has presented unique challenges across the world in getting citizens to change their behaviors in response to a public health crisis. In the United States, it appears that partisan differences in willingness to comply with these measures have emerged: Democrats are typically more supportive than Republicans in their stated support of and willingness to comply with these measures. However, actual behaviors are notoriously hard to accurately capture with survey items.
      To determine the extent to which county‐level partisanship influences average willingness to stay at home, and how these effects are moderated by county level characteristics.
      We use personal device (cell phone) data provided by SafeGraph, aggregated at the county‐level, to determine how county‐level partisanship is correlated with willigness to stay at home. We additionally test whether these effects are conditional upon the prevalence of COVID‐19 in the county, and the percentage of the county under 30 years old.
      We find that county‐level partisanship predicts aggregate level compliance with social distancing behavior—citizens of counties that are more Republican spend more time away from home than Democratic counties. We find that the number of COVID‐19 cases in the county and the percentage of the county under the age of 30 moderate these effects.
      Partisanship appears to be a powerful predictor, at the county‐level, of willigness to follow stay at home orders in the early stages of the COVID‐19 pandemic.

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