A Comparative Analysis of the Effects of the Agricultural Extension Services among Small-Scale Farmers in Mpulungu District, Zambia
Abstract
In agriculture-oriented economies worldwide, agricultural extension services are influential in the crop productivity of small-scale farmers. In Zambia, despite the provision of extension services to small-scale farmers, some small-scale farmers have not felt their effects. Therefore, this study conducted a comparative analysis of the effects of the agricultural extension services on maize crop productivity of the 147 food security pack beneficiary households and 152 non-beneficiary households using a mixed methods design in the Mpulungu district of Zambia. The results revealed that the food security pack beneficiary and non-beneficiary households knew the extension services provided in the Mpulungu district. However, the extension workers concentrated more on the food security pack beneficiary households than the non-beneficiary households in the provision of extension services because they wanted the programme to succeed. The majority of the non-beneficiary households did not fully benefit from the agricultural extension services provided in Mpulungu district. The programme beneficiary households recorded higher maize crop productivity than the non-beneficiaries suggesting that the extension services had a positive effect. Challenges such as inadequate extension workers, lack of refresher training for extension workers and loss of trust in the extension system affected both groups. However, these challenges affected the non-beneficiary households more than the food security pack beneficiary households. The study concludes that extension services contribute to agricultural crop productivity. Therefore, the study recommends improvement in extension staffing levels, administrative support, in-service refresher training and capacity building of the extension workers. Also, the implementation of a universal extension service targeting strategy for small-scale farmers is recommended.
Downloads
References
Aker, J. C. (2010). Information from markets near and far: mobile phones and agricultural markets in Niger. American Economic Journal of Applied Economics, 2(3), 46–59.
Aydogdu, M. H. (2017). Evaluation of farmers' willingness to pay for agricultural extension services in GAP-Harran Plain, Turkey. Journal of Agricultural Science and Technology, 19(4), 785–796.
Bahta, Y. T., B., Willemse J., & Grove, B. (2014). The role of agriculture in welfare, income distribution and economic development of the Free State Province of South Africa: A CGE approach. Agricultural Economics Research, Policy and Practice in Southern Africa, 53(1), 46–74.
Barrett, C., M., Carter R., & Timmer, C. P. (2010). A century-long perspective on agricultural development. American Journal of Agricultural Economics, 92, 447–68.
Burrows, E., Bell M., & Rutamu, N. G. (2024, July 15). Extension and advisory services in Zambia: Understanding structures, services, roles and incentives for reaching farmer households as a basis for discussing potential for scale. Agrilinks.
Central Statistics Office [CSO]. (2018, June 15). Zambia in figures 2018. Zambia Central Statistics Office.
Chavula, P., Teressa, B., Ntezimana, M. G., Umer, Y., Muleba, M., & Shentema, S. (2022). An overview of Zambia's agricultural extension and advisory system. International Journal of Academic and Applied Research, 6(10), 209-214.
Creswell, J. D. (2017). Research design: Qualitative, quantitative, and mixed methods approach. SAGE. http://dx.doi.org/10.1002/nha3.20258
Department of Local Government [DLG]. (2020). Situation analysis and poverty reduction strategy for Mpulungu district. Mpulungu District Council Planning Unit.
Flick, U. (2014). An introduction to qualitative research. SAGE.
Fowler, B., & White, D. (2023, February 6). Scaling impact: extending input delivery to smallholder farmers at scale. Acdivoca.
Glen, S. (2023, December 7). Elementary statistics for the rest of us. Elementary Statistics.
Hendrawan, S., Trihandoyo, A., & Saroso, D. (2023). Implementing technology acceptance model to measure ICT usage by smallholder farmers. SINERGI, 27(1), 123
Kucharčíková, A., Mičiak, M., Tokarčíková, E., & Štaffenová, N. (2023). The investments in human capital within the human capital management and the impact on the enterprise’s performance. Sustainability, 15(6), 5015.
Kafula, S. C. (2022, July 15). The food security pack programme and food security in Zambia: Views from female-headed households in Kabwe district. Multi-research Organisation.
Lee, Y., Kozar, K. A., & Larsen, K. R. (2003). The technology acceptance model: Past, present, and future. Communications of the Association for Information Systems, 12(1), 50.
Lury, C. (2018). Routledge handbook of interdisciplinary research methods.
Mason, R., Ndlovu, P., Parkins, J. R., & Luckert, M. K. (2015). Determinants of food security in Tanzania: gendered dimensions of household headship and control of resources. Agriculture and human values, 32, 539-549.
Ministry of Agriculture. (2016). Second national agriculture policy. The Government of the Republic of Zambia.
Ministry of Community Development and Social Services [MCDSS]. (2021). Food Security Pack Programme in Zambia. The Government of the Republic of Zambia.
Samaradiwakara, G. D. M., & Gunawardena, G. (2014). Comparison of existing technology acceptance theories and models to suggest a well improved theory/model. International Technology Science Journal, 1(1), 21–36.
Shausi, G. L., Ahmad, A. K., & Abdallah, J. M. (2019). Factors determining crop farmers willingness to pay for agricultural extension services in Tanzania: A case of Mpwapwa and Mvomero Districts. Journal of Agricultural Extension and Rural Development, 11(12), 239-247.
Somanje, A. N., Mohan, G., & Saito, O. (2021). Evaluating farmers’ perception toward the effectiveness of agricultural extension services in Ghana and Zambia. Agriculture & Food Security, 10, 1-16.
Tolera, T., Temesgen, D., & Rajan, D. S. (2014). Factors affecting farmers’ willingness to pay for agricultural extension services: The case of Haramaya District, Ethiopia. International Journal of Agricultural Science Research, 3(12), 268-277.
Tsafack, E., & Degrande, A. (2022, December 17). Value of printed sources of information in agricultural extension: Case study on "the farmer's voice" in Cameroon. Farmers’ Voice.
Tucker, T., Dolly, D., Phiri, M., & Chisi, M. (2015). Assessment of and Recommendations for Strengthening the Pluralistic Agricultural Extension System in Eastern Province, Zambia. Modernizing Extension and Advisory Services.
Uddin, E., Q. Gao., & Mamun-Ur-Rashid, M. D. (2016). Crop farmers' willingness to pay for agricultural extension services in Bangladesh: Cases of selected villages in two important agro-ecological zones. Journal of Agricultural Education and Extension, 22(1), 43–60.
Umar, B. B. (2016). Seasonal challenges and opportunities for smallholder farmers in a mining district of Zambia. African Journal of Agricultural Research, 11(13), 1110–1119.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 425-478.
Zambia Statistics Agency. (2022, December 21). 2022: Zambia Census of Population and Housing Preliminary. Zambia Central Statistical Office.
Copyright (c) 2025 Royd Tembo, PhD, Veronica Nanyangwe

This work is licensed under a Creative Commons Attribution 4.0 International License.