Farmers’ willingness to pay for mobile phone-based agricultural extension service in northern Ethiopia

References

• Abbott, P., Checco, A., & Polese, D. (2021). Smart farming in sub-saharan Africa: Challenges and opportunities. Sensornets, 159–13. https://doi.org/10.5220/0010416701590164
   Google Scholar
• Abebaw, A. (2020). Challenges and opportunities of ICT use in Ethiopia. International Journal of Agricultural Extension, 08(1), 57–65. https://doi.org/10.33687/ijae.008.01.3069
   Google Scholar
• Abebaw, A., & Yared, M. C. (2019). Factors affecting the use of information and communication technologies for cereal marketing in Ethiopia. Journal of Agricultural & Food Information, 20(1), 59–70. https://doi.org/10.1080/10496505.2018.1438290
   Web of Science ®Google Scholar
• Abebe, M. B., & Geta, E. (2014). Farmers’ willingness to pay for irrigation water use: the case of Agarfa District, Bale Zone, Oromiya National Regional State. ( M.Sc. thesis). Haramaya University,
   Google Scholar
• Adewale, M., Ogunmodede, J. A., Tambo, A. T., Adeleke, D. M., & Mary, O. O. (2022). Farmers’ willingness to pay towards the sustainability of plant clinics: Evidence from Bangladesh, Rwanda and Zambia. International Journal of Agricultural Sustainability, 20(7), 1360–1372. https://doi.org/10.1080/14735903.2022.2082018
   Web of Science ®Google Scholar
• Amare, D., Mekuria, W., T/Wold, T., Belay, B., Teshome, A., Yitaferu, B., Tessema, T., & Tegegn, B. (2016). Perception of local community and the willingness to pay to restore church forests: The case of Dera district, northwestern Ethiopia. Forests, Trees and Livelihoods, 25(3), 173–186. https://doi.org/10.1080/14728028.2015.1133330
   Google Scholar
• Amir, M., Peter, N., & Muluken, W. (2016). The role of mobile phones in accessing agricultural information by smallholder farmers in Ethiopia. RUFORUM Working Document Series, 14(1), 395–402.
   Google Scholar
• Angella, N., Dick, S., & Fred, B. (2014). Willingness to pay for irrigation water and its determinants among rice farmers at Doho Rice Irrigation Scheme (DRIS) in Uganda. Journal of Development and Agricultural Economics, 6(8), 345–355. https://doi.org/10.5897/JDAE2014.0580
   Google Scholar
• ATA. (2017). Agricultural extension strategy of Ethiopia. Strategy report paper about Ethiopia agricultural extension system. Addis Ababa,
   Google Scholar
• Atiso, K., Folitse, B. Y., & Manteaw, S. A. (2021). Mobile telephony and agriculture information communication in Ghana: The Ho West district under review. Library Philosophy & Practice, 0_1–28. https://digitalcommons.unl.edu/libphilprac/4711
   Google Scholar
• Berhanu, D., Mequanent, M., & Biruk, F. (2020). Assessment of rural households ’ mobile phone usage status for rural innovation services in Gomma Woreda, Southwest Ethiopia. Cogent Food & Agriculture, 6(1), 1–13. https://doi.org/10.1080/23311932.2020.1728083
   Web of Science ®Google Scholar
• Birara, E., Kassahun, T., & Zemen, A. (2018). Non-market measurement techniques of willingness to pay, the case of Environmental Resources: A review. Journal of Agro-Environment Science, 3(2).
   Google Scholar
• Birara, E., Wondimagegnhu, A., & Kassahun, T. (2020). Willingness to pay for church forest conservation: A case study in northwestern Ethiopia. Journal of Forest Science, 66(3), 105–116. https://doi.org/10.17221/154/2019-JFS
   Web of Science ®Google Scholar
• Birke, F. M. (2020, January). Public agriculture extension and Information and Communication Technologies: A case study in South. A Doctoral dissertation in fulfillment of the requirement for the degree “Doktor Der Agrarwissenschaften” (Dr. Sc. Agr./Ph.D.) by the Faculty of Agricultural Sciences at the University of Hohenheim
   Google Scholar
• Brighton, N., Gideon, M., Tanyaradzwa, R., Peter, M., Charlene, M., & Basil, S. (2022). Rural small scale farmers’ smart mobile phone usage acceptance prognosticators for agricultural marketing information access. SN Social Science, 2(12), 356. https://doi.org/10.1007/s43545-022-00562-x
   Google Scholar
• Brockwell, A. E., & Chan, N. H. (2006). Long memory dynamic Tobit models. Journal of Forecasting, 25(5), 351–367. https://doi.org/10.1002/for.992
   Web of Science ®Google Scholar
• Carson, R. T., & Hanemann, W. M. (2005). Contingent valuation. Handbook of Environmental Economics, 2, 821–936. https://doi.org/10.1016/S1574-0099(05)02017-6
   Google Scholar
• Chayot, G. (2022). The Ethiopian agricultural extension services: A mixed perspective. Cogent Food & Agriculture, 8(1), 1–11. https://doi.org/10.1080/23311932.2022.2132848
   Web of Science ®Google Scholar
• Cole, S. A., & Fernando, A. N. (2021). ‘Mobile’izing agricultural advice technology adoption diffusion and sustainability. The Economic Journal, 131(633), 192–219. https://doi.org/10.1093/ej/ueaa084
   Web of Science ®Google Scholar
• Cooper, J. C., Hanemann, M., & Signorello, G. (2002). One and-one-half-bound dichotomous choice contingent valuation. The Review of Economics and Statistics, 84(4), 742–750. https://doi.org/10.1162/003465302760556549
   Web of Science ®Google Scholar
• Daniel, T., & Teferi, T. (2015). Determinates of small holder farmers willingness to pay for agricultural extension services: A case study from eastern Ethiopia. Africa Journal of Agricultural Research, 10(20), 2152–2158. https://doi.org/10.5897/AJAR2014.8698
   Google Scholar
• Davis, K. E., Babu, S. C., & Ragasa, C. (2020). Agricultural extension: Global status and performance in selected countries. Intl Food Policy Res Inst.
   Google Scholar
• Development, U. N., & Programme(UNDP). (2021, September). Precision agriculture for smallholder farmers
   Google Scholar
• Endalew, B., Wondimagegnhu, B. A., & Li, F. (2019). Determinants of households ’ willingness to pay for the conservation of church forests in northwestern Ethiopia: A contingent valuation study. Cogent Environmental Science, 5(1), 1–14. https://doi.org/10.1080/23311843.2019.1570659
   Web of Science ®Google Scholar
• Gerba, L., Girma, K., Till, S., & Anna-Katharina, H. (2017). The agricultural extension system in Ethiopia: Operational setup, challenges and opportunities. ZEF Working Paper Series, ISSN 1864-6638 Center for Development Research, University of Bonn
   Google Scholar
• Getaw, T., & Godfrey, B. (2015). Mobile phones and farmers’ marketing decisions in Ethiopia. World Development, 68, 296–307. https://doi.org/10.1016/j.worlddev.2014.12.010
   Web of Science ®Google Scholar
• Girma, Y., Kelil, A., & Yildiz, F. (2021). Mobile phone and beef cattle marketing: The case of Girar Jarso district of Oromia region, Ethiopia. Cogent Food & Agriculture, 7(1), 1911032. https://doi.org/10.1080/23311932.2021.1911032
   Web of Science ®Google Scholar
• GIZ. (2021). Digital Agriculture platform blueprints. Digital agriculture platform blueprintswhite paper January 2021, Access Www. Mercycorpsagrifin.Org. www.mercycorpsagrifin.org
   Google Scholar
• Gosbert, L. S., Athman, K. A., & Jumanne, M. A. (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 & Rural Development, 11(12), 239–247. https://doi.org/10.5897/JAERD2019.1097
   Google Scholar
• 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
   Google Scholar
• Lelethu, M., & Lwandiso, M. (2022). Factors affecting the using Information and Communication Technologies (ICTs) by livestock farmers in the Eastern Cape province. Cogent Social Sciences, 8(1). https://doi.org/10.1080/23311886.2022.2026017
   PubMed Web of Science ®Google Scholar
• Makwinja, R., Kosamu, I. B. M., & Kaonga, C. C. (2019). Determinants and values of willingness to pay for water quality improvement: Insights from Chia Lagoon, Malawi. Sustainability, 11(17), 4690. https://doi.org/10.3390/su11174690
   Web of Science ®Google Scholar
• Mapiye, O., Makombe, G., Molotsi, A., Dzama, K., & Mapiye, C. (2021). Towards a revolutionized agricultural extension system for the sustainability of smallholder livestock production in developing countries: The potential role of icts. Sustainability, 13(11), 5868. https://doi.org/10.3390/su13115868
   Web of Science ®Google Scholar
• McCampbell, M., Adewopo, J., Klerkx, L., & Leeuwis, C. (2023). Are farmers ready to use phone-based digital tools for agronomic advice? ex-ante user readiness assessment using the case of Rwandan banana farmers. The Journal of Agricultural Education and Extension, 29(1), 29–51. https://doi.org/10.1080/1389224X.2021.1984955
   Google Scholar
• Molina-Maturano, J., Verhulst, N., Tur-Cardona, J., Güereña, D. T., Gardeazábal-Monsalve, A., Govaerts, B., & Speelman, S. (2021). Understanding smallholder farmers’ intention to adopt agricultural apps: The role of mastery approach and innovation hubs in Mexico. Agronomy, 11(2), 194. https://doi.org/10.3390/agronomy11020194
   Google Scholar
• Ningsi, R., Asnawi, & Abdullah, A. (2020). Effect of intrinsic factors on farmers’ willingness to pay on the success of artificial insemination of Bali cattle. The 2nd International conference of animal science and technology IOP Publishing, IOP Conf. Series: Earth and environmental science 492 012161. https://doi.org/10.1088/17551315/492/1/012161
   Google Scholar
• Nugroho, A. D. (2021). Agricultural market information in developing countries: A literature review. Agricultural Economics (Zemědělská ekonomika), 67(11), 468–477. doi:https://doi.org/10.17221/129/2021-AGRICECON
   Web of Science ®Google Scholar
• Rajkhowa, P., Qaim, M., & Van Campenhout, B. (2021). Personalized digital extension services and agricultural performance: Evidence from smallholder farmers in India. PloS One, 16(10), e0259319. https://doi.org/10.1371/journal.pone.0259319
   PubMed Web of Science ®Google Scholar
• Rico, A., Aminou, A., Miroslava, B., Vladimir, V., Wilfried, Y., & Jan, B. (2023). Analysis of the factors influencing the adoption of digital extension services: Evidence from the rice advice application in Nigeria. The Journal of Agricultural Education and Extension. doi:https://doi.org/10.1080/1389224X.2023.2222109
   Web of Science ®Google Scholar
• Samson, P. K., Julius, J. O., & Noel, J. (2011). Use of mobile phone Technology in agricultural marketing: The case of smallholder farmers in Malawi. International Journal of ICT Research and Development in Africa, 2(2), 14–25. doi:https://doi.org/10.4018/jictrda.2011070102
   Google Scholar
• Spyridon, P., Uthpal, K., Amjath-Babu, T. S., & Fulco, L. (2021). Are farmers willing to pay for participatory climate information services? Insights from a case study in peri-urban Khulna, Bangladesh. Climate Services, 23(2021), 100241.
   Google Scholar
• Stewart, J. (2009). Tobit or not tobit? IZA discussion papers, No. 4588.
   Google Scholar
• Tadesse, G., & Shively, G. (2013). Repeated transaction in rural grain markets of Ethiopia. Journal of Development Studies, 49(9), 1172–1187. https://doi.org/10.1080/00220388.2012.740015
   Web of Science ®Google Scholar
• Teferi, T., Daniel, T., & Sundara, D. (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.
   Google Scholar
• Tinzaara, W., Oyesigye, E., Bocquet, C., Arkin, J., & Johnson, V. (2021). Mobile phone technology for increasing banana productivity among smallholder farmers in Uganda. Journal of Agricultural Extension & Rural Development. doi:https://doi.org/10.5897/JAERD2020.1191
   Google Scholar
• Wilson, C., & Tisdell, C. A. (2002). OLS and tobit estimates: When is substitution defensible operationally? University of Queensland, school of Economics. Economic Theory, Applications and Issues, Working Paper No. 15.
   Google Scholar