IDEAS home Printed from https://ideas.repec.org/a/taf/ginixx/v31y2005i1p87-116.html
   My bibliography  Save this article

Repression, Grievances, Mobilization, and Rebellion: A New Test of Gurr’s Model of Ethnopolitical Rebellion

Author

Listed:
  • Gregory D. Saxton

Abstract

Throughout the 1990s Ted Robert Gurr developed and refined a model of ethnopolitical rebellion built around four key determinants—identity, incentives, capacity, and opportunities. Lindström and Moore (1995), Gurr and Moore (1997), and Moore and Gurr (1998) have argued that the explanation Gurr proposes actually implies an interactive model in which these four factors, along with rebellion and repression, work interdependently to determine levels of rebellious ethnic conflict. In this study I utilize a three-stage least squares estimator to test the ability of this interactive model to explain the magnitude of ethnopolitical rebellion in the seventeen regions of Spain from 1977--1996. The use of an original event data set with enhanced indicators allows for the first test of Gurr’s interactive model not based on the Minorities at Risk project, while the cross-temporal design facilitates the first full test of the model’s democracy-rebellion linkages. This test demonstrates even stronger overall support for the theoretical model than previous analyses, which had failed to find evidence for the direct influence of grievances on rebellion, of democratization and repression on mobilization, and of democracy on repression. An important deviation from Gurr’s model is the finding that three of the proposed indicators of deprivation—relative regional GDP, education, and regional autonomy—were found to have the opposite impact from that intended. Implications of these findings are explored in depth. I would like to thank the editors and the reviewers for their helpful comments. Michelle Benson, Thomas Rochon, Gary Segura, Elizabeth Crighton, Jacek Kugler and Yi Feng gave invaluable advice, while the John Randolph and Dora Haynes Foundation and the European Union Center of Southern California generously provided financial support. The data used in this article are avilable at http://www .itss.brockport.edu/~gsaxton/papers.html

Suggested Citation

  • Gregory D. Saxton, 2005. "Repression, Grievances, Mobilization, and Rebellion: A New Test of Gurr’s Model of Ethnopolitical Rebellion," International Interactions, Taylor & Francis Journals, vol. 31(1), pages 87-116, January.
    • Handle: RePEc:taf:ginixx:v:31:y:2005:i:1:p:87-116
    DOI: 10.1080/03050620590919452
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03050620590919452
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/03050620590919452?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 search for a different version of it.

    Citations

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


    Cited by:

    1. David Siroky & Carolyn M. Warner & Gabrielle Filip-Crawford & Anna Berlin & Steven L. Neuberg, 2020. "Grievances and rebellion: Comparing relative deprivation and horizontal inequality," Conflict Management and Peace Science, Peace Science Society (International), vol. 37(6), pages 694-715, November.
    2. Robert A. Blair & Nicholas Sambanis, 2020. "Forecasting Civil Wars: Theory and Structure in an Age of “Big Data†and Machine Learning," Journal of Conflict Resolution, Peace Science Society (International), vol. 64(10), pages 1885-1915, November.
    3. Meirav Mishali-Ram & Jonathan Fox, 2022. "Is governmental and societal discrimination against Muslim minorities behind foreign fighters in Syria and Iraq?," Journal of Peace Research, Peace Research Institute Oslo, vol. 59(2), pages 122-135, March.
    4. Koen Zwet & Ana I. Barros & Tom M. Engers & Peter M. A. Sloot, 2022. "Emergence of protests during the COVID-19 pandemic: quantitative models to explore the contributions of societal conditions," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-11, December.
    5. Jonathan Fox & Chris Bader & Jennifer M. McClure, 2019. "Don’t get mad: The disconnect between religious discrimination and individual perceptions of government," Conflict Management and Peace Science, Peace Science Society (International), vol. 36(5), pages 495-516, September.

    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:taf:ginixx:v:31:y:2005:i:1:p:87-116. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/GINI20 .

    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.