IDEAS home Printed from https://ideas.repec.org/a/ags/ijfaec/319343.html
   My bibliography  Save this article

The Impact of Government Spending and Food Imports on Nutritional Status in Nigeria: A Dynamic OLS Application and Simulation

Author

Listed:
  • Fani, Djomo Choumbou Raoul
  • Tabetando, Rayner
  • Henrietta, Ukpe Udeme
  • Francois, Siewe

Abstract

The physical and human capital stock of a country determines its economic development and functioning. Despite the Federal Government of Nigeria's initiatives and policies aimed at ensuring the country's long-term viability. Citizens' nutritional status is still a widespread issue that undermines productivity. For a period of 41 years, the impact of government expenditures and food importation on overweight and stunting was studied using dynamic ordinary least squares and simulation (1980-2020). Stunting and overweight are reduced as a result of food production and importation, according to the findings. Stunting and overweight will be reduced by 2.12 percent and 1.22 percent, respectively, if public spending increases and food imports are reduced by 30%. To complement public initiatives, the best alternative policy for improving Nigeria's nutrition status should focus on increasing government agriculture and health spending, as well as increasing food imports with a lower comparative advantage.

Suggested Citation

  • Fani, Djomo Choumbou Raoul & Tabetando, Rayner & Henrietta, Ukpe Udeme & Francois, Siewe, 2022. "The Impact of Government Spending and Food Imports on Nutritional Status in Nigeria: A Dynamic OLS Application and Simulation," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 10(1), January.
  • Handle: RePEc:ags:ijfaec:319343
    DOI: 10.22004/ag.econ.319343
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/319343/files/vol10.no1.pp55.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.319343?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. Camacho-Gutiérrez, Pablo, 2010. "Dynamic OLS estimation of the U.S. import demand for Mexican crude oil," MPRA Paper 30608, University Library of Munich, Germany.
    2. Gissele Gajate-Garrido, 2014. "Excluding the Rural Population: The Impact of Public Expenditure on Child Malnutrition in Peru," The World Bank Economic Review, World Bank, vol. 28(3), pages 525-544.
    3. Umeh, J.C. & Adejo, M.A., 2019. "Assessment of central bank of Nigeria’s anchor borrowers’ programme effects on rice farmers in Kebbi state, Nigeria," 2019 Sixth International Conference, September 23-26, 2019, Abuja, Nigeria 295669, African Association of Agricultural Economists (AAAE).
    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. Rajesh Sharma & Pradeep Kautish & D. Suresh Kumar, 2021. "Assessing Dynamism of Crude Oil Demand in Middle-Income Countries of South Asia: A Panel Data Investigation," Global Business Review, International Management Institute, vol. 22(1), pages 169-183, February.
    2. Khalil Jebran & Abdullah & Mahmoud Moustafa Elhabbaq & Arshad Ali, 2017. "Income and Price Elasticities of Crude Oil Demand in Pakistan," Global Business Review, International Management Institute, vol. 18(6), pages 1373-1383, December.
    3. Ramya Ambikapathi & Jessica D. Rothstein & Pablo Peñataro Yori & Maribel Paredes Olortegui & Gwenyth Lee & Margaret N. Kosek & Laura E. Caulfield, 2018. "Food purchase patterns indicative of household food access insecurity, children’s dietary diversity and intake, and nutritional status using a newly developed and validated tool in the Peruvian Amazon," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 10(4), pages 999-1011, August.
    4. Adewuyi, Adeolu O., 2016. "Determinants of import demand for non-renewable energy (petroleum) products: Empirical evidence from Nigeria," Energy Policy, Elsevier, vol. 95(C), pages 73-93.
    5. Torres, Javier & Pebe, Carol & Radas, Norally, 2017. "The mining canon and the budget political cycle in Peru’s district municipalities, 2002-2011," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), December.

    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:ijfaec:319343. 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/iiaaktr.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.