“Lots of Time They Don’t Pay”: Understanding Wage-Theft and Resistance in Bryan, Texas through Critical Community-Engaged Research

Nancy Plankey-Videla and Cynthia Luz Cisneros Franco
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Nancy Plankey-Videla: Department of Sociology, Texas A&M University, College Station, TX 77843, USA
Cynthia Luz Cisneros Franco: Department of Sociology, Texas A&M University, College Station, TX 77843, USA

Social Sciences, 2022, vol. 11, issue 3, 1-33

Abstract: This critical community-engaged mixed methods study quantifies worker mistreatment on day labor corners in Bryan, Texas, and examines how day laborers resist labor exploitation. Day laborers seek work in open air spot markets. The work is precarious, with temporary and unregulated employment relations, weak enforcement, and poor working conditions. In this weak penalty and labor enforcement regime, labor violations are not surprising. Contrary to dominant theories, however, we argue that demand-side (industry) characteristics are more important for explaining the prevalence of labor violation than supply-side (worker characteristics). We use the Central Texas Day Labor Survey (2012–2021), 210 ethnosurveys consisting of 55% unauthorized workers, 24% authorized workers, and 20% Latinx, Black, and White citizens. We find that higher indices of labor violations and work abuse are not associated with lower-status workers; all workers, irrespective of legal status or citizenship, experienced abuse by employers. Demand-side characteristics were partially associated with higher levels of wage theft and mistreatment. In terms of wages, we found a gradation of wages with the lowest for unauthorized immigrants, then authorized immigrants, Latinx citizens, Black citizens, and lastly White citizens. Finally, workers collectively fight back against injustice by warning each other about unscrupulous employers.

Keywords: day laborers; wage-theft; community-engaged research; mixed methods (search for similar items in EconPapers)
JEL-codes: A B N P Y80 Z00 (search for similar items in EconPapers)
Date: 2022
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