IDEAS home Printed from https://ideas.repec.org/a/bla/socsci/v101y2020i6p2183-2192.html
   My bibliography  Save this article

Are You Threatening Me? Asian‐American Panethnicity in the Trump Era

Author

Listed:
  • Danvy Le
  • Maneesh Arora
  • Christopher Stout

Abstract

Objective This study explores the effect of Donald Trump's candidacy, and first year in office, on Asian‐American linked fate. We argue that the use of anti‐Asian and anti‐immigrant messaging during the 2016 election, and the enactment of discriminatory policies once elected, increased feelings of panethnic linked fate among Asian Americans. Method To test our hypotheses, we assess Asian Americans’ levels of linked fate before the 2016 election, immediately after the 2016 election, and one year after the 2016 election with several time‐series surveys. Results We find that Asian‐American linked fate is higher after the election and remains high one year later. Qualitative data collected through open‐ended survey responses suggest that the increase in panethnic linked fate can be at least partially attributed to Trump's discriminatory rhetoric. Conclusion The results have implications for Asian‐American political behavior, particularly mobilization, by invoking collective action through panethnic linked fate.

Suggested Citation

  • Danvy Le & Maneesh Arora & Christopher Stout, 2020. "Are You Threatening Me? Asian‐American Panethnicity in the Trump Era," Social Science Quarterly, Southwestern Social Science Association, vol. 101(6), pages 2183-2192, October.
  • Handle: RePEc:bla:socsci:v:101:y:2020:i:6:p:2183-2192
    DOI: 10.1111/ssqu.12870
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/ssqu.12870
    Download Restriction: no

    File URL: https://libkey.io/10.1111/ssqu.12870?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Natalie Masuoka, 2006. "Together They Become One: Examining the Predictors of Panethnic Group Consciousness Among Asian Americans and Latinos," Social Science Quarterly, Southwestern Social Science Association, vol. 87(s1), pages 993-1011.
    2. Natalie Masuoka, 2006. "Together They Become One: Examining the Predictors of Panethnic Group Consciousness Among Asian Americans and Latinos," Social Science Quarterly, Southwestern Social Science Association, vol. 87(5), pages 993-1011, December.
    3. Gay, Claudine, 2004. "Putting Race in Context: Identifying the Environmental Determinants of Black Racial Attitudes," American Political Science Review, Cambridge University Press, vol. 98(4), pages 547-562, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Saemyi Park, 2021. "Asian Americans’ Perception of Intergroup Commonality with Blacks and Latinos: The Roles of Group Consciousness, Ethnic Identity, and Intergroup Contact," Social Sciences, MDPI, vol. 10(11), pages 1-20, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Erica B. Russell & James C. Garand, 2023. "Race, linked fate, and attitudes toward the police," Social Science Quarterly, Southwestern Social Science Association, vol. 104(2), pages 110-124, March.
    2. Jennifer Lopez & R. Michael Alvarez & Seo‐young Silvia Kim, 2022. "Latinos, group identity, and equal opportunity on the 2020 California ballot," Social Science Quarterly, Southwestern Social Science Association, vol. 103(7), pages 1572-1586, December.
    3. Matthew Hall, 2013. "Residential Integration on the New Frontier: Immigrant Segregation in Established and New Destinations," Demography, Springer;Population Association of America (PAA), vol. 50(5), pages 1873-1896, October.
    4. Alexandra Filindra & Melanie Kolbe, 2022. "Latinx identification with whiteness: What drives it, and what effects does it have on political preferences?," Social Science Quarterly, Southwestern Social Science Association, vol. 103(6), pages 1424-1439, November.
    5. Julie Spencer-Rodgers & Kaiping Peng, 2014. "Perceiving Racial/Ethnic Disadvantage and Its Consequences for Self-Esteem among Asian-Americans," International Journal of Psychological Studies, Canadian Center of Science and Education, vol. 6(2), pages 117-117, June.
    6. John Ishiyama & Andrea Silva, 2020. "Unpacking the Suitcase: Premigratory Experiences with Ethnic Violence and Descriptive Representation Among Asian Americans," Social Science Quarterly, Southwestern Social Science Association, vol. 101(4), pages 1534-1551, July.
    7. Jack Thompson, 2019. "A Review of the Popular and Scholarly Accounts of Donald Trump’s White Working-Class Support in the 2016 US Presidential Election," Societies, MDPI, vol. 9(2), pages 1-27, May.
    8. Barbara Gomez‐Aguinaga, 2021. "One Group, Two Worlds? Latino Perceptions of Policy Salience Among Mainstream and Spanish‐Language News Consumers," Social Science Quarterly, Southwestern Social Science Association, vol. 102(1), pages 238-258, January.
    9. Sophia J. Wallace, 2014. "Examining Latino Support for Descriptive Representation: The Role of Identity and Discrimination," Social Science Quarterly, Southwestern Social Science Association, vol. 95(2), pages 311-327, June.
    10. Bismark Adu-Gyamfi & Rajib Shaw, 2021. "Characterizing Risk Communication and Awareness for Sustainable Society: The Case of Foreign Residents in the Tokyo Metropolitan Area of Japan," Sustainability, MDPI, vol. 13(11), pages 1-17, May.
    11. Fabrizio Panebianco, 2009. "�Driving While Black�: A Theory for Interethnic Integration and Evolution of Prejudice," Working Papers 2009_10, Department of Economics, University of Venice "Ca' Foscari".
    12. Jenifer Bratter & Allan Farrell & Sharan Kaur Mehta & Raul S. Casarez & Xiaorui Zhang & Michael Carroll, 2022. "“There’s Something Very Wrong with the System in This Country”: Multiracial Organizations and Their Responses to Racial Marginalization," Social Sciences, MDPI, vol. 11(5), pages 1-19, May.
    13. Vanessa Gonlin, 2022. "Mixed-Race Ancestry ≠ Multiracial Identification: The Role Racial Discrimination, Linked Fate, and Skin Tone Have on the Racial Identification of People with Mixed-Race Ancestry," Social Sciences, MDPI, vol. 11(4), pages 1-21, April.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:socsci:v:101:y:2020:i:6:p:2183-2192. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0038-4941 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.