IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-05425145.html
   My bibliography  Save this paper

Economic Development And Disaster Occurrence In Nigeria: A Quantitative Investigation

Author

Listed:
  • Emmanuel Okokondem Okon

    (Department of Economics, Kogi State University, Anyigba, Kogi State, Nigeria)

Abstract

This paper models and estimates disaster occurrence in Nigeria using time-series data covering the period of 1970 to 2012.An autoregressive model was employed and the effects of stochastic shocks of each of the endogenous variables were explored using error correction model (ECM). The static long run estimate shows that D(LOG(UBR)) and TER are statistically significant. The multivariate regression results of the over-parameterized error correction model indicate that DIS(-1), D(LOG(UBR)), D(TER) D(LOG(UBR-1)) and D(TER(-1)) are statistically significant while other variables were not. The short run result reveals thatDIS(-1), D(LOG(UBR)) D(TER), D(LOG(UBR-1)) and D(TER(-1)) have significant effect on the occurrence of disaster in Nigeria.Among other recommendations, Nigerian government should develop a comprehensive disaster risk management plan that goes beyond a predominantly response-focused approach to disaster planning by incorporating it in the national planning process.

Suggested Citation

  • Emmanuel Okokondem Okon, 2016. "Economic Development And Disaster Occurrence In Nigeria: A Quantitative Investigation," Post-Print hal-05425145, HAL.
  • Handle: RePEc:hal:journl:hal-05425145
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    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:hal:journl:hal-05425145. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.