IDEAS home Printed from https://ideas.repec.org/a/zbw/espost/308006.html

What does the population in Niger think about a military government?

Author

Listed:
  • Tuki, Daniel

Abstract

Using the Round 9 Afrobarometer survey data for Niger, this study examined the determinants of support for military intervention with particular focus on political instability, perceived corruption in the democratic government, and socioeconomic deprivation. The descriptive results showed that Nigeriens generally do not have a strong aversion towards military rule. In fact, about 70 percent of them agreed that the military should intervene when the democratic government is corrupt. The regression results showed that political instability, which was measured using the total number of violent conflict incidents in the region where respondents resided, was positively correlated with support for military intervention. This might be because people who are exposed to violence feel that a military government would do a better job at providing security. Perceived corruption in government was also positively correlated with support for military intervention. This might be because corruption engenders discontent with democratic institutions, prompting people to see military intervention as a way of curtailing the democratic government’s excesses. Socioeconomic deprivation was negatively correlated with support for military intervention, which suggests that the poor prefer democracy to a military government.

Suggested Citation

  • Tuki, Daniel, 2024. "What does the population in Niger think about a military government?," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 31(8), pages 1740-1765.
    • Handle: RePEc:zbw:espost:308006
    DOI: 10.1080/13510347.2024.2341314
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/308006/1/Full-text-article-Tuki-What-does-the.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.1080/13510347.2024.2341314?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. repec:cup:apsrev:v:64:y:1970:i:01:p:18-34_12 is not listed on IDEAS
    2. Franklin Charles Graham, 2010. "What the Nigerien coup d'état means to the world," Review of African Political Economy, Taylor & Francis Journals, vol. 37(126), pages 527-532, December.
    3. Anna Bruederle & Roland Hodler, 2018. "Nighttime lights as a proxy for human development at the local level," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-22, September.
    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. Cruzatti C., John & Bjørnskov, Christian & Sáenz de Viteri, Andrea & Cruzatti, Christian, 2024. "Geography, development, and power: Parliament leaders and local clientelism," World Development, Elsevier, vol. 182(C).
    2. Backer, David & Billing, Trey, 2024. "Forecasting the prevalence of child acute malnutrition using environmental and conflict conditions as leading indicators," World Development, Elsevier, vol. 176(C).
    3. Ana Andries & Stephen Morse & Richard J. Murphy & Jim Lynch & Emma R. Woolliams, 2019. "Seeing Sustainability from Space: Using Earth Observation Data to Populate the UN Sustainable Development Goal Indicators," Sustainability, MDPI, vol. 11(18), pages 1-20, September.
    4. Dickinson, Jeffrey, 2020. "Planes, Trains, and Automobiles: What Drives Human-Made Light?," MPRA Paper 103504, University Library of Munich, Germany.
    5. Jingyi Wang & Chen Weng & Zhen Wang & Chunming Li & Tingting Wang, 2022. "What Constitutes the High-Quality Soundscape in Human Habitats? Utilizing a Random Forest Model to Explore Soundscape and Its Geospatial Factors Behind," IJERPH, MDPI, vol. 19(21), pages 1-23, October.
    6. Harris, J. Andrew & Posner, Daniel N., 2022. "Does decentralization encourage pro-poor targeting? Evidence from Kenya’s constituencies development fund," World Development, Elsevier, vol. 155(C).
    7. Zhong, Liang & Lin, Yongpeng & Yang, Peng & Liu, Xiaosheng & He, Yuanrong & Xie, Zhiying & Yu, Peng, 2024. "Quantifying the inequality of urban electric power consumption and its evolutionary drivers in countries along the belt and road: Insights from satellite perspective," Energy, Elsevier, vol. 312(C).
    8. Edward J. Oughton & Jatin Mathur, 2020. "Predicting cell phone adoption metrics using satellite imagery," Papers 2006.07311, arXiv.org, revised Jun 2021.
    9. Hufschmidt, Patrick & Ume, Chukwuma Otum, 2023. "Conflicts and political intervention: Evidence from the anti-open grazing laws in Nigeria," Ruhr Economic Papers 1009, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    10. Asatryan, Zareh & Baskaran, Thushyanthan & Birkholz, Carlo & Hufschmidt, Patrick, 2023. "Favoritism by the governing elite," Ruhr Economic Papers 1029, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    11. Remi Jedwab & Mr. Prakash Loungani & Anthony Yezer, 2019. "How Should We Measure City Size? Theory and Evidence Within and Across Rich and Poor Countries," IMF Working Papers 2019/203, International Monetary Fund.
    12. Bove, Vincenzo & Di Salvatore, Jessica & Elia, Leandro & Nisticò, Roberto, 2024. "Mothers at peace: International peacebuilding and post-conflict fertility," Journal of Development Economics, Elsevier, vol. 167(C).
    13. Marius Brulhart & Olivier cadot & Alexander Himbert, 2019. "Let There Be Light: Trade and the Development of Border Regions," Cahiers de Recherches Economiques du Département d'économie 19.02, Université de Lausanne, Faculté des HEC, Département d’économie.
    14. Anja Garbely & Elias Steiner, 2023. "Understanding compliance with voluntary sustainability standards: a machine learning approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(10), pages 11209-11239, October.
    15. Isabelle Chort & Berk Öktem, 2024. "Agricultural shocks, coping policies and deforestation: Evidence from the coffee leaf rust epidemic in Mexico," American Journal of Agricultural Economics, John Wiley & Sons, vol. 106(3), pages 1020-1057, May.
    16. Bluhm, Richard & Dreher, Axel & Fuchs, Andreas & Parks, Bradley C. & Strange, Austin M. & Tierney, Michael J., 2025. "Connective financing: Chinese infrastructure projects and the diffusion of economic activity in developing countries," Journal of Urban Economics, Elsevier, vol. 145(C).
    17. Andreas Kammerlander & Kerstin Unfried, 2022. "Sending peace home?! The effect of political favoritism on conflict," HiCN Working Papers 378, Households in Conflict Network.
    18. Ola Hall & Francis Dompae & Ibrahim Wahab & Fred Mawunyo Dzanku, 2023. "A review of machine learning and satellite imagery for poverty prediction: Implications for development research and applications," Journal of International Development, John Wiley & Sons, Ltd., vol. 35(7), pages 1753-1768, October.
    19. Roland Hodler & Paul A Raschky & Anthony Strittmatter, 2024. "Religion and terrorism: Evidence from Ramadan fasting," Journal of Peace Research, Peace Research Institute Oslo, vol. 61(3), pages 351-365, May.
    20. Thushyanthan Baskaran & Sonia Bhalotra & Brian Min & Yogesh Uppal, 2024. "Women legislators and economic performance," Journal of Economic Growth, Springer, vol. 29(2), pages 151-214, June.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • D74 - Microeconomics - - Analysis of Collective Decision-Making - - - Conflict; Conflict Resolution; Alliances; Revolutions
    • I30 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General

    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:zbw:espost:308006. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/zbwkide.html .

    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.