IDEAS home Printed from https://ideas.repec.org/a/ags/roaaec/320839.html
   My bibliography  Save this article

Household Demand System Of African Indigenous Vegetables In Kenya

Author

Listed:
  • GIDO, Eric Obedy

Abstract

Research background: Vegetables are important sources of nutrition to many households. Understanding the household demand system of leafy African indigenous vegetables (AIVs) in Kenya could enhance designing strategies to increase their consumption levels. Purpose of the article: The study was conducted to evaluate the effects of demographic variables on budget shares for commonly consumed leafy vegetables and to generate vegetable demand elasticities. Methods: A stratified multi-stage sampling approach selected 168 and 282 respondents in rural and urban areas, respectively. The study used primary data, and a Linear Approximate Almost Ideal Demand System was estimated using the Seemingly Unrelated Regression method. Findings, value & novelty: Own-price elasticities indicated that leafy AIV crops are normal goods. Cross-price elasticities indicated leafy AIVs are more complementary to each other and can be substituted for the consumption of exotic vegetables. The price effect could substantially contribute to changes in demand than would income. Vegetable demand could still increase with a future increase in household income. Expenditure elasticities classified cowpea (Vigna unguiculata L. Walp.) and spider plant (Cleome gynandra L.) as necessary vegetables. Results can be used to develop strategies for increasing demand for leafy AIV crops, thus enhancing consumption of healthy diets.

Suggested Citation

  • GIDO, Eric Obedy, 2022. "Household Demand System Of African Indigenous Vegetables In Kenya," Review of Agricultural and Applied Economics (RAAE), Faculty of Economics and Management, Slovak Agricultural University in Nitra, vol. 25(1), March.
  • Handle: RePEc:ags:roaaec:320839
    DOI: 10.22004/ag.econ.320839
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/320839/files/RAAE_1_2022_Gido.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.320839?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. Agbola, Frank W., 2003. "Estimation of Food Demand Patterns in South Africa Based on a Survey of Households," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 35(3), pages 1-8, December.
    2. Wang, Qingbin & Halbrendt, Catherine & Johnson, Stanley R., 1996. "A Non-Nested Test of the AIDS vs. The Translog Demand System," Staff General Research Papers Archive 996, Iowa State University, Department of Economics.
    3. Richard Green & Julian M. Alston, 1990. "Elasticities in AIDS Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(2), pages 442-445.
    4. Pollak, Robert A & Wales, Terence J, 1981. "Demographic Variables in Demand Analysis," Econometrica, Econometric Society, vol. 49(6), pages 1533-1551, November.
    5. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    6. Catherine Durham & James Eales, 2010. "Demand elasticities for fresh fruit at the retail level," Applied Economics, Taylor & Francis Journals, vol. 42(11), pages 1345-1354.
    7. Ogundari, Kolawole & Arifalo, Sadiat Funmilayo, 2013. "Determinants of Household Demand for Fresh Fruit and Vegetable in Nigeria: A Double Hurdle Approach," Quarterly Journal of International Agriculture, Humboldt-Universitaat zu Berlin, vol. 52(3), pages 1-18, August.
    8. Wang, Qingbin & Halbrendt, Catherine & Johnson, Stanley R., 1996. "A non-nested test of the AIDS vs. the translog demand system," Economics Letters, Elsevier, vol. 51(2), pages 139-143, May.
    9. Bollino, Carlo Andrea & Violi, Roberto, 1990. "GAITL: A generalised version of the almost ideal and translog demand systems," Economics Letters, Elsevier, vol. 34(2), pages 127-129, October.
    10. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
    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. Liu, Hongbo & Parton, Kevin A. & Zhou, Zhang-Yue & Cox, Rod, 2009. "At-home meat consumption in China: an empirical study," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 53(4), pages 1-17.
    2. Jonas, A. & Roosen, J., 2006. "Eine zweistufige Nachfrageschätzung für Milch: Biomilch, Handelsmarken und Herstellermarken," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 41, March.
    3. 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.
    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. Taniguchi, Kiyoshi & Chern, Wen S., 2000. "Income Elasticity Of Rice Demand In Japan And Its Implications: Cross-Sectional Data Analysis," 2000 Annual meeting, July 30-August 2, Tampa, FL 21755, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    6. Zhou, De & Yu, Xiaohua & Herzfeld, Thomas, 2015. "Dynamic food demand in urban China," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 7(1), pages 27-44.
    7. Marsh, Thomas L. & Piggott, Nicholas E., 2013. "Measuring Pre-Commited Quantities Through Consumer Price Formation," 2013 Conference (57th), February 5-8, 2013, Sydney, Australia 152165, Australian Agricultural and Resource Economics Society.
    8. van der Ploeg, Frederick & Rezai, Armon & Tovar Reanos, Miguel, 2022. "Gathering support for green tax reform: Evidence from German household surveys," European Economic Review, Elsevier, vol. 141(C).
    9. Bopape, Lesiba, 2006. "Heterogeneity of Household Food Expenditure Patterns in South Africa," 2006 Annual meeting, July 23-26, Long Beach, CA 21300, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    10. Echeverría, Lucía & Menon, Martina & Perali, Federico & Berges, Miriam, 2019. "Intra-household inequality and child welfare in Argentina," Nülan. Deposited Documents 3051, Universidad Nacional de Mar del Plata, Facultad de Ciencias Económicas y Sociales, Centro de Documentación.
    11. Cuma Akbay, 2007. "Urban Households’ Cooking Oil and Fat Consumption Patterns in Turkey: Quality Vs. Quantity," Quality & Quantity: International Journal of Methodology, Springer, vol. 41(6), pages 851-867, December.
    12. Vardges Hovhannisyan & Hayk Khachatryan, 2017. "Ornamental Plants in the United States: An Econometric Analysis of a Household‐Level Demand System," Agribusiness, John Wiley & Sons, Ltd., vol. 33(2), pages 226-241, April.
    13. Muhammad Irfan & Michael P. Cameron & Gazi Hassan, 2017. "Household Energy Elasticities in Pakistan: An Application of the LA-AIDS Model on Pooled Household Data," Working Papers in Economics 17/11, University of Waikato.
    14. Hilmer, Christiana E. & Holt, Matthew T., 2005. "Estimating Indirect Production Functions with a More General Specification: An Application of the Lewbel Model," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 37(3), pages 1-16, December.
    15. Romero-Jordán, Desiderio & del Río, Pablo & Jorge-García, Marta & Burguillo, Mercedes, 2010. "Price and income elasticities of demand for passenger transport fuels in Spain. Implications for public policies," Energy Policy, Elsevier, vol. 38(8), pages 3898-3909, August.
    16. Widenhorn, Andreas & Salhofer, Klaus, 2014. "Using a Generalized Differenced Demand Model to Estimate Price and Expenditure Elasticities for Milk and Meat in Austria," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 63(02), pages 1-16, June.
    17. Irfan, Muhammad & Cameron, Michael P. & Hassan, Gazi, 2018. "Household energy elasticities and policy implications for Pakistan," Energy Policy, Elsevier, vol. 113(C), pages 633-642.
    18. Brosig, Stephan, 2000. "A model of household type specific food demand behaviour in Hungary," IAMO Discussion Papers 30, Leibniz Institute of Agricultural Development in Transition Economies (IAMO).
    19. Lucia Mangiavacchi & Luca Piccoli, 2009. "Child welfare and intra-household inequality in Albania," Working Papers 149, ECINEQ, Society for the Study of Economic Inequality.
    20. Gundimeda, Haripriya & Kohlin, Gunnar, 2008. "Fuel demand elasticities for energy and environmental policies: Indian sample survey evidence," Energy Economics, Elsevier, vol. 30(2), pages 517-546, March.

    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:roaaec:320839. 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/feuagsk.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.