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Consumer preferences for rice in East Africa

Bibliographic Data

ID21296156
AuthorsEdgar E Twine (0000-0001-7561-1584, corresponding author), Sali Atanga Ndindeng (0000-0002-2403-8076, Africa Rice Center), Gaudiose Mujawamariya (0000-0003-0087-8529), Stella Everline Adur-Okello (0000-0001-5904-732X, National Agricultural Research Organisation), Celestine Kilongosi (0000-0001-8239-3925, Africa Rice Center)
Year2023
Volume125
Issue13
Pages316-329
Publication date2023-12-18
Open AccessYes
TypeARTICLE
VenueBritish Food Journal (JOURNAL)
Journal identifiersISSN: 0007-070X • E-ISSN: 1758-4108
PublisherEmerald (PUBLISHER)
DOI10.1108/bfj-08-2022-0698
OpenAlexW4360976750
LanguageEN
Citations received1
References cited18

Purpose Improving the competitiveness of East Africa's rice industries necessitates increased and viable production of rice of the quality desired by consumers. This paper aims to understand consumer preferences for rice quality attributes in Uganda and Kenya to inform the countries' rice breeding programs and value chain development interventions. Design/methodology/approach Rice samples are obtained from retail markets in various districts/counties across the two countries. The samples are analyzed in a grain quality laboratory for the rice's physicochemical characteristics and the resulting data are used to non-parametrically estimate hedonic price functions. District/county dummies are included to account for potential heterogeneity in consumer preferences. Findings Ugandan consumers are willing to pay a price premium for rice with a relatively high proportion of intact grains, but the consumers discount chalkiness. Kenyan consumers discount high amylose content and impurities. There is evidence of heterogeneity in consumer preferences for rice in Mbale, Butaleja and Arua districts of Uganda and in Kericho and Busia counties of Kenya. Originality/value The study makes a novel contribution to the literature on consumer preferences for rice in East Africa by applying a hedonic pricing model to the data generated from a laboratory analysis of the physicochemical characteristics of rice samples obtained from the market. Rather than base our analysis on consumers' subjective sensory assessment of the quality characteristics of rice, standard laboratory methods are used to generate the data, which enables a more objective assessment of the relationship between market prices and the quantities of attributes present in the rice samples

Agricultural economics · Agricultural science · Agriculture · Business · Economics · Geography · Kenya · Originality · Qualitative research · Quality (philosophy) · Statistics · Value (mathematics) · Economic and Environmental Valuation · Economics of Agriculture and Food Markets · Marketing · Mathematics · Organic Food and Agriculture

  • Quality-driven price dispersion

    Open Access•Hisaki Kono, David Ernst et al.•Food Policy•2026

  • Targeting millers to improve rice marketing in Uganda

    Open Access•Edgar E Twine, Stella Everline Adur-Okello et al.•British Food Journal•2021

  • Reversing Urban Bias in African Rice Markets

    Open Access•Matty Demont, Pieter Rutsaert et al.•World Development•2013

  • Hedonic Prices and Implicit Markets

    Sherwin Rosen•Journal of Political Economy•1974

  • A New Approach to Consumer Theory

    Kelvin Lancaster, Kelvin J Lancaster•Journal of Political Economy•1966

Citations per year1
Citation span2026 - 2026 (1)
Highly citedNo

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