Information Framing and Willingness to Pay for Wrap-and-Plant Technology among Smallholder Potato Farmers in Nyandarua, Kenya

Authors

  • Wangombe Dennis Ngumi Kenyatta University
  • Dr. Forah Mokua Obebo, PhD Kenyatta University

DOI:

https://doi.org/10.47604/ijecon.3947

Keywords:

Information Framing, Willingness to Pay, Wrap-and-Plant, Potato Cyst Nematodes, Agricultural Technology Adoption

Abstract

Purpose: This study examines whether alternative information framing affects the economic valuation of Wrap-and-Plant (WAP) technology among smallholder potato farmers in Nyandarua County, Kenya, distinguishing the extensive margin of stated adoption from the intensive margin of willingness to pay (WTP).

Methodology: Data from 431 farmers were analysed following exposure to positive yield-gain or negative loss-avoidance framing. WTP was elicited using a double-bounded contingent valuation design and estimated using interval regression. A framing-only specification was followed by a multivariate specification incorporating behavioural, socioeconomic, demographic, farm and market characteristics.

Findings: Stated willingness to adopt was high under both negative framing (94.15%) and positive framing (94.24%). The baseline model showed a KES 266.48 association for negative relative to positive framing (p=0.091). The model-based predicted mean WTP was KES 1,989.26 under negative framing and KES 2,216.04 under positive framing, a difference of KES 226.78 (p=0.040). Attitude was positively associated with WTP (p=0.093), while log per-capita expenditure was positively associated with WTP (p=0.034).

Unique Contribution to Theory, Practice and Policy: The study contributes to agricultural economics by demonstrating that information framing may operate differently across the extensive and intensive margins of technology demand. While framing produced little difference in stated adoption, monetary valuation varied across information conditions. The findings suggest that technology communication, pricing and affordability should be considered jointly when assessing agricultural technology demand.

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References

Aditya, K., Kishore, A., & Khan, T. (2020). Exploring farmers’ willingness to pay for crop insurance products: A case of weather-based crop insurance in Punjab, India. Agricultural Economics Research Review, 33(2), 135–146. https://doi.org/10.5958/0974-0279.2020.00027.0

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T

Alif, Ž., Novak, A., Lagerkvist, C.-J., & Šumrada, T. (2025). Can information framing increase farmers’ uptake of eco-schemes? A randomised controlled trial. Agricultural and Food Economics, 13, Article 76. https://doi.org/10.1186/s40100-025-00417-y

Bateman, I. J., Carson, R. T., Day, B., Hanemann, W. M., Hanley, N., Hett, T., Jones-Lee, M., Loomes, G., Mourato, S., Özdemiroğlu, E., Pearce, D. W., Sugden, R., & Swanson, J. (2002). Economic valuation with stated preference techniques: A manual. Edward Elgar.

Channa, H., Ricker-Gilbert, J., De Groote, H., & Bauchet, J. (2021). Willingness to pay for a new farm technology given risk preferences: Evidence from an experimental auction in Kenya. Agricultural Economics, 52(5), 733–748. https://doi.org/10.1111/agec.12651

Channa, H., Chen, A. Z., Pina, P., & Ricker-Gilbert, J. (2019). What drives smallholder farmers’ willingness to pay for a new farm technology? Evidence from an experimental auction in Kenya. Food Policy, 85, 64–71. https://doi.org/10.1016/j.foodpol.2019.03.005

Carson, R. T. (2012). Contingent valuation: A practical alternative when prices aren’t available. Journal of Economic Perspectives, 26(4), 27–42. https://doi.org/10.1257/jep.26.4.27

Hanemann, W. M., Loomis, J., & Kanninen, B. (1991). Statistical efficiency of double-bounded dichotomous choice contingent valuation. American Journal of Agricultural Economics, 73(4), 1255–1263. https://doi.org/10.2307/1242453

Hidrobo, M., Palloni, G., Gilligan, D. O., Aker, J. C., & Ledlie, N. (2022). Paying for digital information: Assessing farmers’ willingness to pay for a digital agriculture and nutrition service in Ghana. Economic Development and Cultural Change, 70(4), 1367–1402. https://doi.org/10.1086/713974

Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47(2), 263–291. https://doi.org/10.2307/1914185

Lima, F. S. O., Mattos, V. S., Silva, E. M. R., Carvalho, M. A. B., Teixeira, R. A., Silva, J. G. P., & Correa, V. R. (2018). Nematodes affecting potato and sustainable practices for their management. In Nematodes. IntechOpen. https://doi.org/10.5772/intechopen.73056

Lusk, J. L., & Hudson, D. (2004). Willingness-to-pay estimates and their relevance to agribusiness decision making. Applied Economic Perspectives and Policy, 26(2), 152–169. https://doi.org/10.1111/j.1467-9353.2004.00168.x

Mburu, H., Cortada, L., Haukeland, S., Ronno, W., Nyongesa, M., Kinyua, Z., & Coyne, D. (2020). Potato cyst nematodes: A new threat to potato production in East Africa. Frontiers in Plant Science, 11, 670. https://doi.org/10.3389/fpls.2020.00670

McFadden, D. (1974). Conditional logit analysis of qualitative choice behavior. In P. Zarembka (Ed.), Frontiers in econometrics (pp. 105–142). Academic Press.

Mwangi, C. W., Ateka, J., Mbeche, R., Oyugi, L., & Ateka, E. (2022). Comparing farmers’ willingness to pay with costs of clean sweet potato seed multiplication in Kenya. Food Security, 14(5), 1279–1293. https://doi.org/10.1007/s12571-022-01293-w

National Potato Council of Kenya. (2020). National potato strategy 2021–2025. https://npck.org/wp-content/uploads/2021/12/Signed-Strategy-2021-2025.pdf

National Potato Council of Kenya. (2024). Nyandarua County—Potato production. https://npck.org/business-opportunities-2/

Obebo, F., Ateka, J., Muniu, J., Kioo, J., & Mwangi, C. (2025). Consumer preferences for biofortified iron beans: Results from a willingness to pay and choice experiment in Kenya. Verixiv. https://doi.org/10.12688/verixiv.1725.1

Ochola, J., Cortada, L., Mwaura, O., Tariku, M., Christensen, S., Ng’ang’a, M., & Torto, B. (2022). Wrap-and-Plant technology to manage sustainably potato cyst nematodes in East Africa. Nature Sustainability, 5(5), 425–433. https://doi.org/10.1038/s41893-022-00852-5

Orlando, V., & Boa, E. (2023). Potato cyst nematodes: A persistent and fearsome foe. Plant Pathology, 72(9), 1541–1556. https://doi.org/10.1111/ppa.13779

Republic of Kenya. (2012). Agriculture Act. Laws of Kenya. https://faolex.fao.org/docs/pdf/ken63314.pdf

Republic of Kenya. (2021). Economic survey 2020. Kenya National Bureau of Statistics. https://www.knbs.or.ke/?wpdmpro=economic-survey-2020

Rogers, E. M. (1962). Diffusion of innovations. Free Press of Glencoe.

Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press.

Silvestri, S., Macharia, M., & Uzayisenga, B. (2019). Analysing the potential of plant clinics to boost crop protection in Rwanda through adoption of IPM: The case of maize and maize stem borers. Food Security, 11(2), 301–315. https://doi.org/10.1007/s12571-019-00910-5

Ward, P. S., Ortega, D. L., Spielman, D. J., & Singh, V. (2014). Heterogeneous preferences for drought-tolerant maize in Nigeria: A discrete choice experiment approach. American Journal of Agricultural Economics, 96(2), 514–530. https://doi.org/10.1093/ajae/aat089

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Published

2026-08-27

How to Cite

Ngumi, W., & Obebo, F. (2026). Information Framing and Willingness to Pay for Wrap-and-Plant Technology among Smallholder Potato Farmers in Nyandarua, Kenya. International Journal of Economics, 11(2), 1–21. https://doi.org/10.47604/ijecon.3947

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