IDEAS home Printed from https://ideas.repec.org/a/bcp/journl/v4y2020i6p466-473.html
   My bibliography  Save this article

Assessing the Drivers of Deforestation in Nigeria: Evidence From Fully Modified Ordinary Least Squares

Author

Listed:
  • Rabiu Maijama’a

    (NNPC Retail Sales Representative, Nigerian National Petroleum Corporation, NNPC Towers, Central Business District, PMB 190, Garki, Abuja-Nigeria)

  • Kabiru Saidu Musa

    (Department of Economics, Faculty of Social and Management Sciences, Bauchi State University, Gadau, PMB 065, Yuli Campus, Bauchi-Nigeria)

  • Zahraddeen Mallam Saleh

    (Department of Political Science, Faculty of Humanities Management and Social Sciences, Federal University, Kashere, Gombe State-Nigeria)

  • Auwal Garba

    (Department of Environmental Management Technology, Abubakar Tafawa Balewa University Bauchi State-Nigeria)

Abstract

The study investigates the drivers of deforestation in Nigeria using annual time series data for the period 1990- 2012. The data on all the variables were tested for unit root using KPSS unit root test. The results from KPSS units root test revealed that all the variables are stationary at level. And they are cointegrated as reported by the Engle granger test for cointegration. The result from fully modified ordinary least squares (FMOLS) indicates that wood fuel, economic growth, agricultural land and foreign direct investment have significant positive impacts on deforestation with urbanization been inversely related to deforestation in the long run. Government should give more emphasis on providing alternative means of cooking and lightening apart from fire woods, providing modern means of farming with crops that require small amount of land and lastly emphasis more on public enlightenment campaign on the dangers of deforestation and desertification.

Suggested Citation

  • Rabiu Maijama’a & Kabiru Saidu Musa & Zahraddeen Mallam Saleh & Auwal Garba, 2020. "Assessing the Drivers of Deforestation in Nigeria: Evidence From Fully Modified Ordinary Least Squares," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 4(6), pages 466-473, June.
  • Handle: RePEc:bcp:journl:v:4:y:2020:i:6:p:466-473
    as

    Download full text from publisher

    File URL: https://www.rsisinternational.org/journals/ijriss/Digital-Library/volume-4-issue-6/466-473.pdf
    Download Restriction: no

    File URL: https://rsisinternational.org/virtual-library/papers/examining-ethical-leadership-an-insight-into-corporate-social-responsibility-and-organizational-ethical-performance/
    Download Restriction: no
    ---><---

    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:bcp:journl:v:4:y:2020:i:6:p:466-473. 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: Dr. Pawan Verma (email available below). General contact details of provider: https://rsisinternational.org/journals/ijriss/ .

    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.