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Economics of farming household’s food intake and health-capital in Nigeria: A two-stage probit regression approach

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  • Abiodun Olusola Omotayo

    (North West University, South Africa)

Abstract

Persistent hunger, malnutrition, and public health problems inextricably threaten the ability of several countries to develop. The burdens of these trios on economic development in African continent cannot be overemphasized. This study investigates the effect of farming households’ nutrition on health in the Southwest Nigeria. The data used were collected with structured questionnaire through a multistage sampling of 420 agricultural households from the southwest geopolitical zone of Nigeria. Data were analyzed using descriptive statistic and Probit regression and Two-Stage Probit regression (2SPR).About 42.38% of the respondents eat ≤ 3 types of food, 50.71% eat 4-6 food, 5.71% took 6-9 food while 1.19% eat within 9-12 food types within the qualitative 24hours recall period of food consumed. In addition, average body mass indices of 25.63 kg/m² ±2.67 (overweight), 26.42 kg/m² ± 2.76 (overweight) and 26.22 kg/m² ± 3.2 (overweight) were recorded in Oyo, Ogun and Osun states respectively. Also, Two-Stage Probit Regression estimate was used to determine the effect of respondents’ nutrition on health status. Result shows that respondents’ nutrition status (p

Suggested Citation

  • Abiodun Olusola Omotayo, 2017. "Economics of farming household’s food intake and health-capital in Nigeria: A two-stage probit regression approach," Journal of Developing Areas, Tennessee State University, College of Business, vol. 51(4), pages 109-125, October-D.
    • Handle: RePEc:jda:journl:vol.51:year:2017:issue4:pp:109-125
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    File URL: https://muse.jhu.edu/article/662832
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    Citations

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    Cited by:

    1. Abiodun Olusola Omotayo, 2018. "Climate Change and Food Insecurity Dynamics in the Rural Limpopo Province of South Africa," Journal of Economics and Behavioral Studies, AMH International, vol. 10(1), pages 22-32.
    2. Agboola, Peter Temitope & Chen, Danhong & Nair, Shyam S. & Wolfskill, Lawrence Art, 2023. "Understanding the Household’s Food Insecurity and Poverty Status in Gert Sibande District of Mpumalanga Province of South Africa," Journal of Food Distribution Research, Food Distribution Research Society, vol. 54(2), July.
    3. Adebayo Isaiah Ogunniyi & Samuel Opeyemi Omotoso & Kabir Kayode Salman & Abiodun Olusola Omotayo & Kehinde Oluseyi Olagunju & Adeyemi Oladapo Aremu, 2021. "Socio-economic Drivers of Food Security among Rural Households in Nigeria: Evidence from Smallholder Maize Farmers," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 155(2), pages 583-599, June.
    4. Abiodun Olusola Omotayo & Abeeb Babatunde Omotoso & Saidat Adebola Daud & Oluwadara Pelumi Omotayo & Babatunde Afeez Adeniyi, 2022. "Rising Food Prices and Farming Households Food Insecurity during the COVID-19 Pandemic: Policy Implications from SouthWest Nigeria," Agriculture, MDPI, vol. 12(3), pages 1-20, March.
    5. Busisiwe Nkonki-Mandleni & Abiodun Olusola Omotayo & David Ikponmwosa Ighodaro & Samuel Babatunde Agbola, 2021. "Analysis of the Living Conditions at eZakheleni Informal Settlement of Durban: Implications for Community Revitalization in South Africa," Sustainability, MDPI, vol. 13(4), pages 1-16, February.
    6. Maropeng Erica Matlala & Peter Tshepiso Ndhlovu & Salmina N. Mokgehle & Wilfred Otang-Mbeng, 2024. "Ethnobotanical Investigation of Mimusops zeyheri , an Underutilized Indigenous Fruit Tree in Gauteng Province, South Africa," Sustainability, MDPI, vol. 16(4), pages 1-17, February.

    More about this item

    Keywords

    Body mass index; Food intake; Nutrition; Health; Households’ Dietary Diversity Scores; Two-stage Probit Regression; Nigeria;
    All these keywords.

    JEL classification:

    • H51 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Health
    • L66 - Industrial Organization - - Industry Studies: Manufacturing - - - Food; Beverages; Cosmetics; Tobacco

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