Cattle Ownership and Meat Consumption Shares in Rural Communities: The Case of the Omusati Region in Namibia

This study examines how cattle ownership influences meat consumption patterns among rural households in the Omusati region of Namibia. Rural households own cattle; however, meat consumption is not necessarily influenced by access to cattle reared but rather by other drivers of meat availability within the immediate vicinity of the household and the status of cattle ownership. This study uses primary data from 160 participants in Outapi, Tsandi, Okahao, and Ruacana constituencies. Data were collected using a structured questionnaire that was pre-tested on 30 respondents prior to the main survey. The data were coded and analysed using descriptive statistics and a multiple linear regression model estimated through the Ordinary Least Squares (OLS) technique to identify factors influencing household beef consumption. Beef consumption was specified as the dependent variable, while selected household and market-related factors were included as explanatory variables. The OLS approach was adopted based on the assumptions of the Gauss–Markov theorem and Best Linear Unbiased Estimators (BLUE). The dynamics of meat consumption in rural Omusati show divergences. Households that do not own cattle rely on cheaper protein sources, which influence both their meat consumption and expenditure shares. In contrast, households that own cattle derive their meat consumption primarily from beef. Cattle farming and ownership continue to play a critical role in the rural economy through passive income and serve as the backbone of these communities. This paper shows that beef consumption is significantly influenced by prices, household income, and the availability of alternative protein sources, although cultural preferences continue to shape consumer behaviour. Furthermore, the dynamics of cattle ownership are not improving meat consumption among rural communities. Therefore, cattle ownership does not necessarily support meat consumption; rather, the share of expenditure on meat-based protein is influenced by the availability of substitutes such as fish, poultry, pork, and household income levels.

Rural Households, Beef Consumption, Poverty

1. Agricultural Statistics Bulletin (ASB). (2021). Ministry of Agriculture, Water and Forestry. Directorate of Planning, and Business Development. Windhoek, Republic of Namibia. [Google Scholar] [Crossref]

2. Akerele, E. O., Ologbon, O. A. C., Otunaiya, A. O., & Ambali, I. O. (2015). Analysis of beef consumption pattern among rural households in Yewa South Local Government Area of Ogun State, Nigeria. Journal of Sustainable Development in Africa, 17(8), 152–160. Clarion University of Pennsylvania, Clarion, Pennsylvania. [Google Scholar] [Crossref]

3. Alonso, S., Dominguez-Salas, P., & Grace, D. (2019). The role of livestock products for nutrition in the first 1,000 days of life. Animal Frontiers, 9(4), 24–31. https://doi.org/10.1093/af/vfz033. [Google Scholar] [Crossref]

4. Creswell, J. W. (2014). Research Design: Qualitative, Quantitative and Mixed Methods Approaches (4th ed.). Sage. [Google Scholar] [Crossref]

5. Dougherty, C. (2011). Introduction to Econometrics, 4th ed. Oxford University Press. New York. [Google Scholar] [Crossref]

6. DVS (2024) Livestock census, MAFWLR, Windhoek [Google Scholar] [Crossref]

7. Ekwe, K.C. (2019). Consumption frequency of selected Animal protein sources among rural households in Enugu State, Nigeria. Journal of Community and Communication Research. 4(2), 53- 61. [Google Scholar] [Crossref]

8. Falchetta, G., Golinucci, N., & Rocco, M. V. (2021). Environmental and Energy Implications of Meat Consumption Pathways in Sub-Saharan Africa. Stainability,13(13), 7075. https://doi.org/10.3390/su13137075 [Google Scholar] [Crossref]

9. FAO, IFAD, UNICEF, WFP, & WHO. (2022). The State of Food Security and Nutrition in the World 2022. Repurposing food and agricultural policies to make healthy diets more affordable. FAO. https://doi.org/10.4060/cc0639en. [Google Scholar] [Crossref]

10. Food and Agriculture Organization of the United Nations (FAO). (2024). Per capita meat consumption by type, 2022. Retrieved from https://ourworldindata.org/meat-production. [Google Scholar] [Crossref]

11. Gleason, C. B., & White, R. R. (2019). Beef species-ruminant nutrition cactus beef symposium: A role for beef cattle in sustainable U.S. food production. Department of Animal and Poultry Sciences, Virginia Tech, Blacksburg, VA 24061. [Google Scholar] [Crossref]

12. Office of the Prime Minister. (2022). Namibia 2021 Vulnerability Assessment and Analysis Report. Government of the Republic of Namibia [Google Scholar] [Crossref]

13. Hosu, S., Mushunje, A., & Taruvinga, A. (2012). "Factors affecting meat consumption patterns in rural households in South Africa." Journal of Agricultural Economics and Development, 1(1), 36-42. [Google Scholar] [Crossref]

14. Research gate (2024) https://www.researchgate.net/publication /290078404_Pattern_and_determinants_of_meat_consumption_in_urban_and_rural_Ethiopia [Google Scholar] [Crossref]

15. Kalundu, K. S. M. (2023). The development of an integrated modelling framework for the dualistic beef sector in Namibia (Doctoral dissertation). Department of Agricultural Economics, Extension and Rural Development, Faculty of Natural and Agricultural Sciences, University of Pretoria. [Google Scholar] [Crossref]

16. Low, A. R. C. (1982). The Economics of Cattle and Meat Marketing in Africa. South African Journal of Economics, 50(2), 136–157. [Google Scholar] [Crossref]

17. Madzingira O., Chinyoka S., Yule J., Mwenda E.N., Kandiwa E., Samkange A., & Mushonga B. (2018). A retrospective study of carcass and organ condemnations at a beef abattoir in Namibia. Alexandria Journal of Veterinary Sciences. 59: 34-42. [DOI: 10.5455/ajvs.277323]. [Google Scholar] [Crossref]

18. Ministry of Agriculture, Water, and Forestry. (2019). Revised Namibia Rangeland Management Policy: Regenerative livestock production – Trends, key profit drivers, case studies, and recommendations. Retrieved from http://www.agrinamibia.com.na/wp-content/uploads/2019/10/NRMPS-Revised-Strategy-2019-Rangeland-Best-Practices-final.pdf. [Google Scholar] [Crossref]

19. Millennium Challenge Account Namibia. (2013). Study on Informal Trade of Beef/Cattle in the Northern Communal Areas, from 2012-2013. Retrieved from MCAN/COM/RFP/3B05008. [Google Scholar] [Crossref]

20. Namibia Agriculture Policy. (2015). Ministry of Agriculture, Water and Forestry. Republic of Namibia. [Google Scholar] [Crossref]

21. Namibia Statistics Agency. (2019). Namibia Census Mapping Basic Report. https://nsa.org.na/publications/ [Google Scholar] [Crossref]

22. Nayik, G. A., Tufail, T., Anjum, F. M., & Ansari, M. J. (2023). Cereal grains: composition, nutritional attributes, and potential applications. CRC Press. [Google Scholar] [Crossref]

23. Naziri, D., Rich, K. M., & Bennett, B. (2015). Would a commodity-based trade approach improve market access for Africa? A case study of the potential of beef exports from communal areas of Namibia. Development Policy Review, 33(2), 195-219. [Google Scholar] [Crossref]

24. Neuman, W. L. (2014). Social Research Methods: Qualitative and Quantitative Approaches (7th ed.). Pearson. [Google Scholar] [Crossref]

25. Nicholson, W., & Snyder, C. (2008). Microeconomic theory: Basic principles and extensions (10th ed.). South-Western Cengage Learning. [Google Scholar] [Crossref]

26. Suresh, N. (2025) Meat consumption in India, https://www.dataforindia.com/meat-consumption. [Google Scholar] [Crossref]

27. Sichilima, T., Mapemba, L. and Tembo, G. (2015) What Determines Expenditure Allocation to Beef among Lusaka Residents in Zambia? Evidence from Household Survey. Modern Economy, 6, 411-422. doi:10.4236/me.2015.63039. [Google Scholar] [Crossref]

28. Yong Kang Cheah1, Azira Abdul Adzis2, Rabiul Islam3 (2022) Factors Associated with Household Expenditure on Meat: Evidence from Malaysia. Journal of International Business, Economics and Entrepreneurship, e-ISSN :2550-1429 7, (1) [Google Scholar] [Crossref]

29. WEF (2029) https://www.weforum.org/publications/global-competitiveness-report-2019/?gad_source=1&gad_campaignid=22228224717&gbraid=0AAAAAoVy5F4kVu4QqcxxuYKND_Ta3wGMb&gclid=Cj0KCQjw2_TQBhCnARIsAF3-XhxDs6HeeIlK-kDmDmec2YIZFhvFgr6hKg5RpHiKERRFkuP9fihLeEoaArRWEALw_wcB [Google Scholar] [Crossref]

30. World Bank (2022) https://www.worldbank.org/en/about/annual-report-2020 [Google Scholar] [Crossref]

31. Wiesli, T.X. (2025) Meat consumption among different social groups and specific options for reducing it: a literature review of empirical research. Front. Sociol. 10:1547663. doi: 10.3389/fsoc.2025.1547663 [Google Scholar] [Crossref]

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