Consumption of fruits and vegetables by types and sources across urban and rural Senegal

PurposeThis paper analyzes the consumption of fruits and vegetables (FV) in Senegal by: (1) urban and rural areas; (2) FV types (African-indigenous vs non-indigenous); (3) sources of FV (imports, purchases and own-production).Design/methodology/approachThe authors undertake descriptive and regressio...

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Bibliographic Details
Published in:Journal of agribusiness in developing and emerging economies 2024-11, Vol.14 (5), p.958-978
Main Authors: Ndeye Fatou Faye, Fall, Talla, Reardon, Thomas, Theriault, Veronique, Ngom, Yacine, Mamadou Bobo Barry, Mouhamed Rassoul Sy
Format: Article
Language:English
Subjects:
Agricultural research
Cities
Cross-sectional studies
Descriptive research
Food chains
Food consumption
Fruits
Horticulture
Households
Imports
Regression analysis
Rural areas
Supply chains
Surveys
Urban areas
Vegetables
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Summary:PurposeThis paper analyzes the consumption of fruits and vegetables (FV) in Senegal by: (1) urban and rural areas; (2) FV types (African-indigenous vs non-indigenous); (3) sources of FV (imports, purchases and own-production).Design/methodology/approachThe authors undertake descriptive and regression analyses on consumption of FV sourced from purchases, own-production and gifts. The data come from primary surveys in 2017/2018 of 6,328 rural and urban households in Senegal.FindingsThe analysis showed that FV are important in urban and rural food consumption. A stunning 76% of rural FV consumption is from purchases, showing the importance of FV supply chains even into and among rural areas. Only 12% of national FV consumption is from imports. Most FV consumption in rural and urban areas is now of non-indigenous FV; African-indigenous FV have a minor share.Research limitations/implicationsA limitation of this paper is that it uses a cross-sectional dataset.Originality/valueThere are few national survey-based studies of FV consumption in Africa. This is the first to disaggregate FV consumption between primary versus secondary cities and rural towns, and rural areas close to and far from cities, in such detail regarding types and sources of FV as outlined in the findings. The regressions contribute by including determinants beyond income, including gender, employment, spatiality and education.
ISSN:2044-0839
2044-0847
DOI:10.1108/JADEE-05-2022-0090