IDEAS home Printed from https://ideas.repec.org/a/taf/reroxx/v32y2019i1p3058-3082.html
   My bibliography  Save this article

Determinants of corruption in Nigeria: evidence from various estimation techniques

Author

Listed:
  • Nurudeen Abu
  • Marcin Waldemar Staniewski

Abstract

Reducing corruption has been one major challenge facing government and policy makers in Nigeria. This study employs the ARDL, CCR and FMOLS methods to assess the determinants of corruption in Nigeria over the period 1984–2016. The result of the cointegration test indicates that corruption and its determinants (economic development, political rights, military expenditure, rents, civil liberties and openness) have a long-run relationship. The results of the ARDL, CCR and FMOLS estimation demonstrate that economic development, political rights, military expenditure, rents, civil liberties and openness, are the main determinants of corruption in the long-run. Higher-economic development, greater civil liberties, more openness and higher military expenditure are related to lower corruption, but higher rents and political rights are associated with higher corruption. Based on these outcomes, this study recommends policies to promote economic development, civil liberties, political rights and openness, including reducing the reliance on the oil sector to curb corruption in Nigeria.

Suggested Citation

  • Nurudeen Abu & Marcin Waldemar Staniewski, 2019. "Determinants of corruption in Nigeria: evidence from various estimation techniques," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 32(1), pages 3058-3082, January.
  • Handle: RePEc:taf:reroxx:v:32:y:2019:i:1:p:3058-3082
    DOI: 10.1080/1331677X.2019.1655467
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/1331677X.2019.1655467
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/1331677X.2019.1655467?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. Cornelius O. Okorie & Christopha C. Arua & Felix M. Nwankwo, 2023. "Nigerian State and Rent-Dependent Economy: An Exposition of Vision 2020 Policy Strategies for Future Sustainable Development," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 7(3), pages 1330-1345, March.
    2. Nurudeen Abu & Awadh Ahmed Mohammed Gamal & Musa Abdullahi Sakanko & Ana Mateen & David Joseph & Ben-Obi Onyewuchi Amaechi, 2021. "How have COVID-19 Confirmed Cases and Deaths Affected Stock Markets? Evidence from Nigeria," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 15(1), February.
    3. Sefa Işik & Fatih Cemil Özbugday, 2021. "The impact of agricultural input costs on food prices in Turkey: A case study," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 67(3), pages 101-110.
    4. Nurudeen Abu & Awadh Ahmed Mohammed Gamal, 2020. "An Empirical Investigation of the Twin Deficits Hypothesis in Nigeria: Evidence from Cointegration Techniques," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 14(3), September.
    5. A. Enisan Akinlo, 2024. "Corruption and Misery Index in Nigeria: Is There a Link?," Journal of Interdisciplinary Economics, , vol. 36(1), pages 26-40, January.
    6. Nurudeen Abu & Bilyaminu Kadandani & Ben Obi & Murtala Modibbo, 2019. "How Does Pensions Affect Savings in Nigeria? Evidence from Quarterly Data," Scientific Annals of Economics and Business (continues Analele Stiintifice), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 66(4), pages 541-558, December.
    7. Piotr Bartkiewicz, 2020. "Quantitative Easing: New Normal or Emergency Measure?," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 14(3), September.
    8. Masoud Khodapanah & Zahra Dehghan Shabani & Mohammad Hadi Akbarzadeh & Mahboubeh Shojaeian, 2022. "Spatial spillover effects of corruption in Asian countries: Spatial econometric approach," Regional Science Policy & Practice, Wiley Blackwell, vol. 14(4), pages 699-717, August.

    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:reroxx:v:32:y:2019:i:1:p:3058-3082. 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/rero .

    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.