IDEAS home Printed from https://ideas.repec.org/p/ags/iaae12/125943.html
   My bibliography  Save this paper

An Expost Economic Impact Assessment of the Intervention against Highly Pathogenic Avian Influenza in Nigeria

Author

Listed:
  • Fadiga, Mohamadou L.
  • Okike, Iheanacho
  • Bett, Bernard

Abstract

The risk of spread of HPAI in Nigeria was derived by using a compartmental model to outline endemic and burn-out scenarios. Two paths, low and high mortality risks, were associated to each of the scenarios. The estimated risk parameters were then used to stochastically simulate the trajectory of the disease; without intervention and with an intervention. The intervention costs the country US$ 41 million obtained through a World Bank IDA loan of US$ 50million yearly disbursed over the 2006-2010 period. The key output variables (net social welfare gain – with incremental net benefits as proxy, disease cost, and benefit cost ratio) were estimated for each randomly drawn risk parameter. On average, the results show that such an intervention would make economic sense under the endemic scenario with high mortality. The discounted costs (12% discount rate) of the disease without intervention would have amounted to US$ 145 million in total over the 2006-2010 period. The model indicates that the intervention could possibly have generated cost savings amounting to US$ 63.7 million, incremental net benefit of US$22.2 million, and a benefit cost ratio at 1.75 over the five-year period considered.

Suggested Citation

  • Fadiga, Mohamadou L. & Okike, Iheanacho & Bett, Bernard, 2012. "An Expost Economic Impact Assessment of the Intervention against Highly Pathogenic Avian Influenza in Nigeria," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 125943, International Association of Agricultural Economists.
  • Handle: RePEc:ags:iaae12:125943
    DOI: 10.22004/ag.econ.125943
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/125943/files/Fadiga.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.125943?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. Richard Bennett, 2003. "The ‘Direct Costs’of Livestock Disease: The Development of a System of Models for the Analysis of 30 Endemic Livestock Diseases in Great Britain," Journal of Agricultural Economics, Wiley Blackwell, vol. 54(1), pages 55-71, March.
    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. David A. Hennessy, 2007. "Behavioral Incentives, Equilibrium Endemic Disease, and Health Management Policy for Farmed Animals," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(3), pages 698-711.
    2. Alejandro Acosta & Carlos Barrantes & Rico Ihle, 2020. "Animal disease outbreaks and food market price dynamics: Evidence from regime‐dependent modelling and connected scatterplots," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(3), pages 960-976, July.
    3. Richard J. Volpe & Timothy A. Park & Fengxia Dong & Helen H. Jensen, 2016. "Somatic cell counts in dairy marketing: quantile regression for count data," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 43(2), pages 331-358.
    4. Stott, Alistair W. & Milne, Catherine E. & Gunn, George J., 2009. "Evaluation of approaches to control of Maedi-Visna disease of sheep using a Markov chain simulation model for a range of typical British Flocks," Working Papers 61102, Scotland's Rural College (formerly Scottish Agricultural College), Land Economy & Environment Research Group.
    5. Dillon, E.J. & Hennessy, T., 2013. "Measuring the impact of improved animal health practices on the economic efficiency of Irish dairy farms," 87th Annual Conference, April 8-10, 2013, Warwick University, Coventry, UK 158706, Agricultural Economics Society.
    6. Niemi, Jarkko K. & SahlströmJonna, Leena & Lyytikäinen, KyyröTapani & Sinisalo, Alina, . "Farm characteristics and perceptions regarding costs contribute to the adoption of biosecurity in Finnish pig and cattle farms," Review of Agricultural, Food and Environmental Studies, Institut National de la Recherche Agronomique (INRA), vol. 97(4).
    7. Gramig, Benjamin M. & Horan, Richard D., 2011. "Jointly determined livestock disease dynamics and decentralised economic behavior," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 55(3), pages 1-18, September.
    8. J.M. Bewley & Boehlje & A.W. Gray & H. Hogeveen & S.J. Kenyon & S.D. Eicher & M.M. Schutz, 2010. "Stochastic simulation using @Risk for dairy business investment decisions," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 70(1), pages 97-125, May.
    9. Jarkko K. Niemi & Leena Sahlström & Jonna Kyyrö & Tapani Lyytikäinen & Alina Sinisalo, 2016. "Farm characteristics and perceptions regarding costs contribute to the adoption of biosecurity in Finnish pig and cattle farms," Review of Agricultural, Food and Environmental Studies, Springer, vol. 97(4), pages 215-223, December.
    10. Stéphanie Truchet & Nicolas Mauhe & Marie Herve, 2017. "Veterinarian shortage areas: what determines the location of new graduates?," Review of Agricultural, Food and Environmental Studies, Springer, vol. 98(4), pages 255-282, December.
    11. Belaya, Vera & Hansen, Heiko & Pinior, Beate, 2012. "Measuring The Costs Of Foodborne Diseases: A Review And Classification Of The Literature," 52nd Annual Conference, Stuttgart, Germany, September 26-28, 2012 138195, German Association of Agricultural Economists (GEWISOLA).
    12. Fadiga, Mohamadou L. & Okike, Iheanacho & Bett, Bernard, 2014. "An expost economic assessment of the intervention against highly pathogenic avian influenza in Nigeria," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 3(1), pages 1-17, April.
    13. Mario J. J. van den Heever & Willem A. Lombard & Yonas T. Bahta & Frikkie A. Maré, 2023. "Cost-Effectiveness of Acaricide Application Methods against Heartwater Disease in South Africa," Agriculture, MDPI, vol. 13(3), pages 1-11, February.
    14. L. Hasonova & I. Pavlik, 2006. "Economic impact of paratuberculosis in dairy cattle herds: a review," Veterinární medicína, Czech Academy of Agricultural Sciences, vol. 51(5), pages 193-211.
    15. Acosta, Alejandro & Barrantes, Carlos & Ihle, Rico, 2020. "Animal disease outbreaks and food market price dynamics: Evidence from regime-dependent modelling and connected scatterplots," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(3), July.
    16. Stott, Alistair W., 2006. "Optimisation methods for assisting policy decisions on endemic diseases," Working Papers 46000, Scotland's Rural College (formerly Scottish Agricultural College), Land Economy & Environment Research Group.
    17. Benjamin M. Gramig & Christopher A. Wolf & Frank Lupi, 2010. "Understanding Adoption of Livestock Health Management Practices: The Case of Bovine Leukosis Virus," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 58(3), pages 343-360, September.
    18. Helen H. Jensen, 2005. "Infectious Disease, Productivity, and Scale in Open and Closed Animal Production Systems," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(4), pages 900-917.
    19. Fadiga, Mohamadou L. & Katjiuongua, Hikuepi B., 2014. "Issues and strategies in ex-post evaluation of intervention against animal disease outbreaks and spread," Food Policy, Elsevier, vol. 49(P2), pages 418-424.
    20. Weldegebriel, Habtu T. & Gunn, George J. & Stott, Alistair W., 2008. "Winners and losers from Johne’s disease eradication from the Scottish dairy herd: a Markov-Chain simulation," 82nd Annual Conference, March 31 - April 2, 2008, Royal Agricultural College, Cirencester, UK 36872, Agricultural Economics Society.

    More about this item

    Keywords

    Agribusiness; Agricultural and Food Policy;

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ags:iaae12:125943. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/iaaeeea.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.