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Social asset or social liability? How partisanship moderates the relationship between social capital and Covid-19 vaccination rates across United States counties

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  • Zhang, Zhiwei
  • Liu, Gao
  • Chen, Bin
  • Huang, Kun

Abstract

This study investigates the interactive effect of social capital and partisanship on COVID-19 vaccination rates. Using county-level data from the United States (U.S.), we empirically find that social capital is a double-edged sword. Its effect on the vaccination rate depends on the dominant partisanship of the jurisdiction. In more liberal counties, stronger social capital is a social asset that encourages people to seek vaccination and results in a higher vaccination rate. In contrast, in more conservative counties where the Trump-voting rate reaches 73% and beyond, stronger social capital becomes a social liability for public health by reinforcing residents’ hesitancy toward or rejection of vaccinations, leading to a lower vaccination rate. This study implies the need for reducing the partisanship salience and investing in bridging and linking social capital in polarized communities.

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  • Zhang, Zhiwei & Liu, Gao & Chen, Bin & Huang, Kun, 2022. "Social asset or social liability? How partisanship moderates the relationship between social capital and Covid-19 vaccination rates across United States counties," Social Science & Medicine, Elsevier, vol. 311(C).
    • Handle: RePEc:eee:socmed:v:311:y:2022:i:c:s0277953622006311
    DOI: 10.1016/j.socscimed.2022.115325
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    References listed on IDEAS

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    1. David Turner & Balázs Égert & Yvan Guillemette & Jarmila Botev, 2021. "The tortoise and the hare: The race between vaccine rollout and new COVID variants," OECD Economics Department Working Papers 1672, OECD Publishing.
    2. John M. Barrios & Yael Hochberg, 2020. "Risk Perception Through the Lens of Politics in the Time of the COVID-19 Pandemic," NBER Working Papers 27008, National Bureau of Economic Research, Inc.
    3. Stephen M. Utych & Luke Fowler, 2020. "Age-based messaging strategies for communication about COVID-19," Journal of Behavioral Public Administration, Center for Experimental and Behavioral Public Administration, vol. 3(1).
    4. Fraser, Timothy & Aldrich, Daniel P. & Page-Tan, Courtney, 2021. "Bowling alone or distancing together? The role of social capital in excess death rates from COVID19," Social Science & Medicine, Elsevier, vol. 284(C).
    5. Elgar, Frank J. & Stefaniak, Anna & Wohl, Michael J.A., 2020. "The trouble with trust: Time-series analysis of social capital, income inequality, and COVID-19 deaths in 84 countries," Social Science & Medicine, Elsevier, vol. 263(C).
    6. Allcott, Hunt & Boxell, Levi & Conway, Jacob & Gentzkow, Matthew & Thaler, Michael & Yang, David, 2020. "Polarization and public health: Partisan differences in social distancing during the coronavirus pandemic," Journal of Public Economics, Elsevier, vol. 191(C).
    7. Christopher K. Tokita & Andrew M. Guess & Corina E. Tarnita, 2021. "Polarized information ecosystems can reorganize social networks via information cascades," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 118(50), pages 2102147118-, December.
    8. Borgonovi, Francesca & Andrieu, Elodie, 2020. "Bowling together by bowling alone: Social capital and COVID-19," Social Science & Medicine, Elsevier, vol. 265(C).
    9. Reich, Jennifer A., 2020. "“We are fierce, independent thinkers and intelligent”: Social capital and stigma management among mothers who refuse vaccines," Social Science & Medicine, Elsevier, vol. 257(C).
    10. Gabriele Prati & Luca Pietrantoni & Bruna Zani, 2011. "A Social‐Cognitive Model of Pandemic Influenza H1N1 Risk Perception and Recommended Behaviors in Italy," Risk Analysis, John Wiley & Sons, vol. 31(4), pages 645-656, April.
    11. Delia Baldassarri & Scott E. Page, 2021. "The emergence and perils of polarization," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 118(50), pages 2116863118-, December.
    12. Kuchler, Theresa & Russel, Dominic & Stroebel, Johannes, 2022. "JUE Insight: The geographic spread of COVID-19 correlates with the structure of social networks as measured by Facebook," Journal of Urban Economics, Elsevier, vol. 127(C).
    13. Anuli Njoku & Marcelin Joseph & Rochelle Felix, 2021. "Changing the Narrative: Structural Barriers and Racial and Ethnic Inequities in COVID-19 Vaccination," IJERPH, MDPI, vol. 18(18), pages 1-14, September.
    14. Villalonga-Olives, E. & Kawachi, I., 2017. "The dark side of social capital: A systematic review of the negative health effects of social capital," Social Science & Medicine, Elsevier, vol. 194(C), pages 105-127.
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    Cited by:

    1. Paolo Buonanno & Sergio Galletta & Marcello Puca, 2023. "The role of civic capital on vaccination," Health Economics, John Wiley & Sons, Ltd., vol. 32(5), pages 993-999, May.

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