IDEAS home Printed from https://ideas.repec.org/a/ags/aolpei/146270.html
   My bibliography  Save this article

Determinants of Ruminant Meat Demand among Different Income Groups in Maiduguri, Borno State Nigeria

Author

Listed:
  • Yakaka, Bukar Maina
  • Iheanacho, A.C.
  • Babagana, K.

Abstract

This study analyzed the determinant of meat demand among income groups, using multiple regression. Data for the study were obtained from 180 respondents, selected in six (6) wards through stratified random sampling, representing the three income groups, namely low, middle and high earning ≤ N15000, N15, 001- N30, 000 and ≥ N30, 001 respectively. Further more, 30 households each were purposively selected from the six (6) areas making a total of 180 households for the study. This study was restricted to ruminant meat products (cattle, goat and sheep) demand among households in Maiduguri Urban area and covered the period of May-June, 2010. The findings showed that 89.02% of the households were male headed, with 38 years as the mean age, while 77% had one form of formal education or another. The mean household size was eight, while the mean monthly income was N23,843. The multiple regression results revelled that gender was insignificant determinant of expenditure on ruminant for all the income groups, and was negatively related to high income group. However, the coefficients of gender were positive for low and middle income groups. Household size and income had positive coefficients and were significant at 1% level for all the income groups. Age had positive coefficients for all the income groups and was significant at 1% for middle income group. On the contrary it was not significant for low and high income. Educational level of the respondents had positive coefficients for all income groups and was significant at 1% level for low and middle income groups but was insignificant for high income group. The study recommended policies to improve improved income redistribution and the enhancement of the purchasing power of the poor.

Suggested Citation

  • Yakaka, Bukar Maina & Iheanacho, A.C. & Babagana, K., 2012. "Determinants of Ruminant Meat Demand among Different Income Groups in Maiduguri, Borno State Nigeria," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 4(4), pages 1-8, December.
  • Handle: RePEc:ags:aolpei:146270
    DOI: 10.22004/ag.econ.146270
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/146270/files/agris_on-line_2012_4_yakaka_iheanacho_babagana.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.146270?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. J. A. Molina, 1994. "Food Demand In Spain: An Application Of The Almost Ideal System," Journal of Agricultural Economics, Wiley Blackwell, vol. 45(2), pages 252-258, May.
    2. James S. Eales & Laurian J. Unnevehr, 1988. "Demand for Beef and Chicken Products: Separability and Structural Change," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 70(3), pages 521-532.
    3. Malaga, Jaime E. & Pan, Suwen & Duch-Carvallo, Teresa, 2009. "Did Mexican Meat Demand Change under NAFTA?," 2009 Conference, August 16-22, 2009, Beijing, China 51430, International Association of Agricultural Economists.
    4. Awudu Abdulai & Devendra K. Jain & Ashok K. Sharma, 1999. "Household Food Demand Analysis in India," Journal of Agricultural Economics, Wiley Blackwell, vol. 50(2), pages 316-327, May.
    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. Haripriya Gundimeda & Gunnar Köhlin, 2006. "Fuel Demand Elasticities for Energy and Environmental Policies Indian Sample Survey Evidence," Energy Working Papers 22501, East Asian Bureau of Economic Research.
    2. Verbeke, Wim & Ward, Ronald W., 2001. "A fresh meat almost ideal demand system incorporating negative TV press and advertising impact," Agricultural Economics, Blackwell, vol. 25(2-3), pages 359-374, September.
    3. Osei-Asare, Yaw Bonsu & Eghan, Mark, 2013. "Food Price Inflation And Consumer Welfare In Ghana," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 1(1), pages 1-13, July.
    4. Haripriya Gundimeda & Atheendar Gunnar Köhlin, 2006. "Fuel Demand Elasticities for Energy and Environmental Policies: Indian Sample Survey Evidence," Working Papers 2006-09, Madras School of Economics,Chennai,India.
    5. Justo Manrique & Helen H. Jensen, 2001. "Spanish Household Demand for Seafood," Journal of Agricultural Economics, Wiley Blackwell, vol. 52(3), pages 23-37, September.
    6. Unterschultz, James R., 2000. "New Instruments For Co-Ordination And Risk Sharing Within The Canadian Beef Industry," Project Report Series 24046, University of Alberta, Department of Resource Economics and Environmental Sociology.
    7. Abdoul G. Sam & Babatunde O. Abidoye & Sihle Mashaba, 2021. "Climate change and household welfare in sub-Saharan Africa: empirical evidence from Swaziland," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 13(2), pages 439-455, April.
    8. Shumway, C. Richard & Davis, George C., 2001. "Does consistent aggregation really matter?," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 45(2), pages 1-34.
    9. Hassan, Daniel & Monier-Dilhan, Sylvette, 2009. "Mesure des changements de consommation suite à une segmentation de l’offre : l’exemple de la tomate fraîche," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement (RAEStud), Institut National de la Recherche Agronomique (INRA), vol. 90(3).
    10. Stavroula Malla & K. K. Klein & Taryn Presseau, 2020. "Have health claims affected demand for fats and meats in Canada?," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 68(3), pages 271-287, September.
    11. Schroeder, Ted C. & Lusk, Jayson L., 2002. "Effects of Meat Recalls on Futures Market Prices," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 31(1), pages 1-12, April.
    12. Chen Zhen & Michael K. Wohlgenant, 2006. "Meat Demand under Rational Habit Persistence," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 54(4), pages 477-495, December.
    13. Yeboah, Godfred & Maynard, Leigh J., 2004. "The Impact Of Bse, Fmd, And U.S. Export Promotion Expenditures On Japanese Meat Demand," 2004 Annual meeting, August 1-4, Denver, CO 19978, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    14. Lee, Chang-Buhm & Koo, Won W. & Yang, Seung-Ryong, 1992. "Demand for Meat in Korea: Estimation and Test for Structural Change," Agricultural Economics Reports 23434, North Dakota State University, Department of Agribusiness and Applied Economics.
    15. Rafael Cortez & Ben Senauer, 1996. "Taste Changes in the Demand for Food by Demographic Groups in the United States: A Nonparametric Empirical Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(2), pages 280-289.
    16. Nalley, Lawton Lanier, 2007. "Modeling the Structural Change in American Frozen Catfish Fillet Demand: An Analysis of Country of Origin Labeling and the Implementation of an Import Tariff," 2007 Annual Meeting, February 4-7, 2007, Mobile, Alabama 34993, Southern Agricultural Economics Association.
    17. Galarraga, Ibon & González-Eguino, Mikel & Markandya, Anil, 2011. "Willingness to pay and price elasticities of demand for energy-efficient appliances: Combining the hedonic approach and demand systems," Energy Economics, Elsevier, vol. 33(S1), pages 66-74.
    18. Dragan Miljkovic & Daniel Mostad, 2007. "Obesity and low-carb diets in the united states: A herd behavior model," Agribusiness, John Wiley & Sons, Ltd., vol. 23(3), pages 421-434.
    19. Lanfranco, Bruno A. & Ames, Glenn C.W. & Huang, Chung L., 2001. "Comparisons Of Hispanic Households' Demand For Meat With Other Ethnic Groups," Faculty Series 16710, University of Georgia, Department of Agricultural and Applied Economics.
    20. Satyanarayana, Vidyashankara & Wilson, William W. & Johnson, D. Demcey, 1997. "Import Demand For Malt: A Times Series And Econometric Analysis," Agricultural Economics Reports 23343, North Dakota State University, Department of Agribusiness and Applied Economics.

    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:aolpei:146270. 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/fevszcz.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.