IDEAS home Printed from https://ideas.repec.org/a/spr/joimai/v25y2024i4d10.1007_s12134-024-01141-0.html
   My bibliography  Save this article

An Analysis of 287(g) Program Adoption and Support for Sanctuary Policies

Author

Listed:
  • Wesley McCann
  • Joselyne L. Chenane

    (University of Massachusetts Lowell)

  • Sean Rollins

    (The College of New Jersey)

  • Franklin Shobe

    (The College of New Jersey)

Abstract

Much attention has been paid to sanctuary policies and local-level immigration enforcement recently. Still, there is a dearth of scholarship on why specific policies are pursued at the local and state levels. This study examined the theoretical conditions that produce anti-sanctuary policies at the state-level and 287(g) program membership. QCA analyses revealed that demographic and political conditions, alongside increases in violent crime, were the most salient causal conditions for explaining the adoption of anti-sanctuary policies. However, these same conditions were poorly explained adopting the 287(g) program. States that experienced significant increases in their Hispanic population alongside either increases in Republican voting during presidential campaigns or increases in violent crime were conjunctive and sufficient explanations of states adopting anti-sanctuary policies. This provides support for the ethnic and racial threat hypothesis as well as evidence as to the role of politics in formulating local immigration enforcement decisions.

Suggested Citation

  • Wesley McCann & Joselyne L. Chenane & Sean Rollins & Franklin Shobe, 2024. "An Analysis of 287(g) Program Adoption and Support for Sanctuary Policies," Journal of International Migration and Integration, Springer, vol. 25(4), pages 1761-1795, December.
    • Handle: RePEc:spr:joimai:v:25:y:2024:i:4:d:10.1007_s12134-024-01141-0
    DOI: 10.1007/s12134-024-01141-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12134-024-01141-0
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s12134-024-01141-0?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
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Pappas, Ilias O. & Woodside, Arch G., 2021. "Fuzzy-set Qualitative Comparative Analysis (fsQCA): Guidelines for research practice in Information Systems and marketing," International Journal of Information Management, Elsevier, vol. 58(C).
    Full references (including those not matched with items on IDEAS)

    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. Osakwe, Christian Nedu & Ogunmokun, Oluwatobi A. & Elgammal, Islam & Kwarteng, Michael Adu, 2025. "Individuals' attitudes and their adoption intentions of central bank digital currency: Combining theories and analytics for deeper insights," Technological Forecasting and Social Change, Elsevier, vol. 210(C).
    2. Zheng, Yunjian & Lin, Chen & Yan, Jiale & Guo, Yani, 2025. "How to enhance the innovation capacity of technology-based enterprises: A fuzzy set qualitative comparative analysis," International Review of Economics & Finance, Elsevier, vol. 97(C).
    3. Xiaoyu Bai & Shengxu Xiong & Zhe Zhou & Xin Liu, 2024. "How to Improve an Enterprise’s Innovation Capability from the Perspective of High- and Low-Level Enterprises Using Fuzzy-Set Qualitative Comparative Analysis," Sustainability, MDPI, vol. 16(7), pages 1-15, April.
    4. Xue, Biao & Lin, Yan & Ren, Fangxiao & Li, Runfo, 2024. "Business environment ecosystem and manufacturing upgrading: A configurational approach," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 1225-1237.
    5. Di Paola, Nadia & Chari, Simos & Iannacci, Federico & Kraus, Sascha, 2025. "Configurational theory in business and management research: Status quo and guidelines for the application of qualitative comparative analysis (QCA)," Technological Forecasting and Social Change, Elsevier, vol. 211(C).
    6. Tolin, Giovanni & Piccaluga, Andrea, 2025. "Commercializing technology from university-industry collaborations: A configurational perspective on organizational factors," Journal of Business Research, Elsevier, vol. 188(C).
    7. Wang, Ye & Jiang, Zongzheng & Li, Xiao & Chen, Yang & Cui, Xiao & Wang, Shipeng, 2023. "Research on antecedent configurations of enterprise digital transformation and enterprise performance from the perspective of dynamic capability," Finance Research Letters, Elsevier, vol. 57(C).
    8. Brewis, Claire & Dibb, Sally & Meadows, Maureen, 2023. "Leveraging big data for strategic marketing: A dynamic capabilities model for incumbent firms," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    9. Fernando Castelló-Sirvent & Marta Peris-Ortiz & Malar Llopis-Amorós & Pablo Pinazo-Dallenbach, 2024. "How does the COVID-19 economic crisis impact resilience? A configurational analysis of the spinoffs," International Entrepreneurship and Management Journal, Springer, vol. 20(3), pages 1823-1848, September.
    10. Alshehri, Abdullah, 2025. "When the recipe is more important than the ingredients, understanding factors affecting customer loyalty in unmanned convenience store using fsQCA," Journal of Retailing and Consumer Services, Elsevier, vol. 82(C).
    11. Borozan, Dj, 2022. "Detecting a structure in the European energy transition policy instrument mix: What mix successfully drives the energy transition?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 165(C).
    12. Huang, Duen-Huang & Chueh, Hao-En, 2022. "Behavioral intention to continuously use learning apps: A comparative study from Taiwan universities," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
    13. Iannacci, Federico & Chari, Simos & Papagiannidis, Savvas, 2025. "Investigating successful sustainable urban mobility in large cities: A contingency-based, fuzzy-set Qualitative Comparative Analysis," Technological Forecasting and Social Change, Elsevier, vol. 212(C).
    14. Garg, Vipul & Gabaldon, Janeth & Niranjan, Suman & Hawkins, Timothy G., 2025. "Impact of strategic performance measures on performance: The role of artificial intelligence and machine learning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 198(C).
    15. Llach, Josep & Sanchez-Famoso, Valeriano & Danes, Sharon M., 2023. "Unmasking nonfamily employees’ complex contribution to family business performance: A place identity theory approach," Journal of Family Business Strategy, Elsevier, vol. 14(4).
    16. Li, Fajin & Cheng-Xi Aw, Eugene & Wei-Han Tan, Garry & Cham, Tat-Huei & Ooi, Keng-Boon, 2022. "The Eureka moment in understanding luxury brand purchases! A non-linear fsQCA-ANN approach," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    17. Melchior, Cristiane & Warin, Thierry & Oliveira, Mirian, 2025. "An investigation of the COVID-19-related fake news sharing on Facebook using a mixed methods approach," Technological Forecasting and Social Change, Elsevier, vol. 213(C).
    18. Manu Sharma & Sudhanshu Joshi & Sunil Luthra & Anil Kumar, 2024. "Impact of Digital Assistant Attributes on Millennials’ Purchasing Intentions: A Multi-Group Analysis using PLS-SEM, Artificial Neural Network and fsQCA," Information Systems Frontiers, Springer, vol. 26(3), pages 943-966, June.
    19. López-Cabarcos, M. Ángeles & Piñeiro-Chousa, Juan & Quiñoá-Piñeiro, Lara & López-Pérez, M. Luisa, 2024. "Water and waste management strategies as drivers of the financial performance of food companies," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    20. Hongxia Zhao & Hongyang Chen & Huijuan Zhao & Ying Lu & Jianhua Zhu, 2024. "What business environment element configuration can promote urban digitization development?," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(11), pages 27923-27944, November.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    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:spr:joimai:v:25:y:2024:i:4:d:10.1007_s12134-024-01141-0. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.