1,532
Views
0
CrossRef citations to date
0
Altmetric
ANIMAL HUSBANDRY & VETERINARY SCIENCE

Extent of adoption of mobile phone applications by smallholder dairy farmers in Tharaka Nithi County, Kenya

, , &
Article: 2265225 | Received 05 Feb 2023, Accepted 27 Sep 2023, Published online: 08 Oct 2023

References

  • Abdulai, A., & Huffman, W. (2005). The Diffusion of new agricultural technologies: The case of crossbred-cow technology in Tanzania. American Journal of Agricultural Economics, 87(3), pp. 645–20. https://doi.org/10.1111/j.1467-8276.2005.00753.x
  • Agwu, A. E., Ekwueme, J. N., & Anyanwu, A. C. (2008). Adoption of improved agricultural technologies disseminated via radio farmer programme by farmers in Enugu State, Nigeria. African Journal of Biotechnology, 7(9). https://doi.org/10.4314/as.v7i2.1594
  • Aker, J. C. (2010). Information from markets near and far: Mobile phones and agricultural markets in Niger. American Economic Journal: Applied Economics, 2(3), 46–59. https://doi.org/10.1257/app.2.3.46
  • Aker, J. C., & Ksoll, C. (2016). Can mobile phones improve agricultural outcomes? Evidence from a randomized experiment in Niger. Elsevier, Food Policy, 60, 44–51. https://doi.org/10.1016/j.foodpol.2015.03.006
  • Ali, J., & Ghildiyal, A. K. (2023). Socio-economic characteristics, mobile phone ownership and banking behaviour of individuals as determinants of digital financial inclusion in India. International Journal of Social Economics. https://doi.org/10.1108/IJSE-10-2022-0673
  • Ameru, J. N., Odero, D., & Kwake, A. (2018). Mainstreaming underutilized indigenous and traditional crops into Food systems: A South African perspective. Journal of Agriculture and Sustainability, 11(1), 2. https://doi.org/10.3390/su11010172
  • Anna, F. L., & Helene, B. L. (2014). Beyond the field: The impact of farmer field schools on Food security and poverty alleviation. World Development, 64, 843–859. https://doi.org/10.1016/j.worlddev.2014.07.003
  • Atinafu, A., Lejebo, M., & Alemu, A. (2022). Adoption of improved wheat production technology in Gorche District, Ethiopia. Agriculture & Food Security, 11(1), 1–8. https://doi.org/10.1186/s40066-021-00343-4
  • Balana, B., & Oyeyemi, M. (2020). Credit Constraints and Agricultural Technology Adoption Evidence from Nigeria (Vol. 64). Intl Food Policy Res Inst. https://doi.org/10.13140/RG.2.2.36585.93287
  • Belay, M., & Mengiste, M. (2021). The ex‐post impact of agricultural technology adoption on poverty: Evidence from north Shewa zone of Amhara region, Ethiopia. International Journal of Finance & Economics, 28(2), 1327–1337. https://doi.org/10.1002/ijfe.2479
  • Beshir, H., Emana, B., Kassa, B., & Haji, J. (2012). Determinants of chemical fertilizer technology adoption in north eastern highlands of Ethiopia: The double hurdle approach. Journal of Research in Economics and International Finance, 1(2), 39–49.
  • Casaburi, L., Mullainathan, S., Kremer, M., & Ramrattan, R. (2019). Harnessing ICT to increase agricultural production: Evidence from Kenya. Working paper. https://scholar.harvard.edu/files/kremer/files/sms_paper_with_tables_20190923_merged.pdf
  • Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons.
  • Cole, S. A., & Fernando, A. N. (2016). ‘Mobile’izing agricultural advice: Technology adoption, Diffusion and Sustainability. Harvard Business School Finance Working Paper, 13, 047. https://econpapers.repec.org/paper/hbswpaper/13-047.htm
  • Communications Authority of Kenya. (2021). First quarter sector statistics report for the financial year 2021/2022 (July – September 2021) (tech. Rep.).
  • Cragg, J. G. (1971). Some Statistical models for limited Dependent variables with applications to the demand for durable goods. Econometrica, 39(5), 829–844. https://doi.org/10.2307/1909582
  • Daberkow, S. G., & McBride, W. D. (2003). Farm and operator characteristics affecting the awareness and adoption of precision agriculture technologies in the US. Precision Agriculture, 4(2), 163–177. https://doi.org/10.1023/A:1024557205871
  • Danso-Abbeam, G., Ehiakpor, D. S., & Aidoo, R. (2018). Agricultural extension and its effects on farm productivity and income: Insight from Northern Ghana. Agriculture & Food Security, 7(1), 74. https://doi.org/10.1186/s40066-018-0225-x
  • Darkwah, K. A., Kwawu, J. D., Agyire-Tettey, F., & Sarpong, D. B. (2019). Assessment of the determinants that influence the adoption of sustainable soil and water conservation practices in Techiman Municipality of Ghana. International Soil & Water Conservation Research, 7(3), 248–257. https://doi.org/10.1016/j.iswcr.2019.04.003
  • Denkyirah, E. K., Okoffo, E. D., Adu, D. T., Aziz, A. A., & Ofori, A. (2016). Modeling Ghanaian cocoa farmers’ decision to use pesticide and frequency of application: The case of Brong-Ahafo region. SpringerPlus, 5(1), 1113. https://doi.org/10.1186/s40064-016-2779-z
  • Derbe, C., Chanie, E., Adugna, M., & Derbe, T. (2022). Impact of dairy production on smallholder households Food Security in the central Gondar zone, Ethiopia. International Journal of Rural Management, 097300522211234. https://doi.org/10.1177/09730052221123435
  • Diaz, A. C., Sasaki, N., Tsusaka, T. W., & Szabo, S. (2021). Factors affecting farmers’ willingness to adopt a mobile app in the marketing of bamboo products, Resources. Resources, Conservation and Recycling Advances, 11, 200056. https://doi.org/10.1016/j.rcradv.2021.200056
  • Dougherty, C. (2011). Introduction to econometrics. Oxford university press.
  • Emeana, E. M., Trenchard, L., & Dehnen-Schmutz, K. (2020). The revolution of mobile phone-enabled services for agricultural development (m-Agri services) in Africa: The challenges for sustainability. Sustainability, 12(2), 485. https://doi.org/10.3390/su12020485
  • Fafchamps, M., & Minten, B. (2012). Impact of SMS-based agricultural information on Indian farmers. The World Bank Economic Review, 26(3), 383–414. https://doi.org/10.1093/wber/lhr056
  • Fikire, A. H., Emeru, G. M., & Danish, S. (2022). Determinants of modern agricultural technology adoption for teff production: The case of minjar shenkora woreda, north Shewa zone, Amhara region, Ethiopia. Advances in Agriculture, 2022, 1–12. https://doi.org/10.1155/2022/2384345
  • Food and Agriculture Organization of the United Nations. (2018) . The future of Food and Agriculture – alternative pathways to 2050. Rome.
  • Food and Agriculture Organization of the United Nations. (2019). The future of livestock in Kenya. Opportunities and challenges in the face of uncertainty (p. 60). FAO. 978-92-5-131642-9.
  • Greene, H. W. (2000). Econometrics analysis (4th ed.). Macmillan.
  • Gujarati, D. (2004). Basic econometrics (4th ed.). MacGraw- Hill.
  • Hamid, E. B., & Mohammad, S. A. (2018). Transition towards sustainability in agriculture and food systems: Role of information and communication technologies. Information Processing in Agriculture, 5(4), 456–464. https://doi.org/10.1016/j.inpa.2018.06.006
  • Haruna, I., Musah, B. A., & Kwame, P. N. (2018). Does the use of mobile phones by smallholder maize farmers Affect productivity in Ghana? Journal of African Business, 19(3), 302–322. https://doi.org/10.1080/15228916.2017.1416215
  • Hoang, G. H. (2020). Adoption of mobile phone for marketing of cereals by smallholder farmers in Quang Dien District of Vietnam. Journal of Agricultural Extension, 24(1), 106–117. https://doi.org/10.4314/jae.v24i1.11
  • Hu, Y., Li, B., Zhang, Z., & Wang, J. (2022). Farm size and agricultural technology progress: Evidence from China. Journal of Rural Studies, 93(July 2022), 417–429. https://doi.org/10.1016/j.jrurstud.2019.01.009
  • Ingutia, R., & Sumelius, J. (2022). Determinants of food security status with reference to women farmers in rural Kenya. Scientific African, 15, e01114. https://doi.org/10.1016/j.sciaf.2022.e01114
  • Ministry of Agriculture, Jätzold, R., & Schmidt, H. (1982). Farm management handbook of Kenya: Natural conditions and farm management information, for Eastern Kenya (Eastern and coast provinces) (Vol. 2, p. 411). Ministry of Agriculture.
  • Jones, A. M. (1989). A double-hurdle model of cigarette consumption. Journal of Applied Econometrics, 4(1), 23–39. https://doi.org/10.1002/jae.3950040103
  • Joyous, S. T., & McNamara, P. E. (2018). Impact of ICT on agricultural extension services delivery: Evidence from the Catholic Relief services SMART skills and Farmbook project in Kenya. The Journal of Agricultural Education and Extension, 24(1), 89–110. https://doi.org/10.1080/1389224X.2017.1387160
  • KALRO. (2022). Kenya agricultural and livestock Research Organization, annual report 2020-2021
  • Kamara, A. Y., Oyinbo, O., Manda, J., Kamsang, L. S., & Kamai, N. (2022). Adoption of improved soybean and gender differential productivity and revenue impacts: Evidence from Nigeria. Food and Energy Security, 11(3). https://doi.org/10.1002/fes3.385
  • Kassem, H., Shabana, R., Ghoneim, Y., & Alotaibi, B. (2020). Farmers’ perception of the quality of mobile-based extension services in Egypt: A comparison between public and private provision. Information Development, 36(2), 161–180. https://doi.org/10.1177/0266666919832649
  • Katengeza, S. P., Okello, J. J., & Jambo, N. (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. https://doi.org/10.4018/jictrda.2011070102
  • Kenya Dairy Board. (2019). Annual Report for 2018-2019.
  • Kenya National Bureau of Statistics. (2019). Kenya population and housing census: Distribution of population by socio-economic characteristics (Vol. 4). Kenya National Bureau of Statistics.
  • Kim, J., Shah, P., Gaskell, C. G., Prasann,A., & Luthra, A. (2019). Scaling up disruptive agricultural technologies in Africa. International Bank for Reconstruction and Development. https://doi.org/10.1596/978-1-4648-1522-5
  • Krell, N. T., Giroux, S. A., Guido, Z., Hannah, C., Lopus, S. E., Caylor, K. K., & Evans, T. P. (2020). Smallholder farmers’ use of mobile phone services in central Kenya. Climate and Development. https://doi.org/10.1080/17565529.2020.1748847
  • Kumar, G., Engle, C., & Tucker, C. (2018). Factors driving aquaculture technology adoption. Journal of the World Aquaculture Society, 49(3), 447–476. https://doi.org/10.1111/jwas.12514
  • Kumar, S. A., & Karthikeyan, C. (2019). Status of mobile agricultural applications in the global mobile ecosystem. International Journal of Education and Development Using Information and Communication Technology, 15(3), 63–74.
  • Langyintuo, A. S., & Mekuria, M. (2008). Assessing the influence of neighborhood effects on the adoption of improved agricultural technologies in developing agriculture. African Journal of Agricultural and Resource Economics, 2(311–2016–5528), 151–169.
  • Larochelle, C., Alwang, J., Travis, E., Barrera, V. H., & Dominguez, J. M. (2019). Did you really get the Message? Using text reminders to stimulate adoption of agricultural technologies. The Journal of Development Studies, 55(4), 548–564. https://doi.org/10.1080/00220388.2017.1393522
  • Li, H., Diejun, H., Qiuzhuo, M., Wene, Q., & Hua, L. (2019). Factors influencing the technology adoption behaviours of litchi farmers in China. Sustainability, 12(1), 271. https://doi.org/10.3390/su12010271
  • Mariyono, J. (2019). Microcredit and technology adoption: Sustained pathways to improve farmers’ prosperity in Indonesia. Agricultural Finance Review, 79(1), 85–106. https://doi.org/10.1108/AFR-05-2017-0033
  • Mihretie, A. A., Abebe, A., Misganaw, G. S., & Djomo Choumbou, R. F. (2022). Adoption of tef (Eragrostis tef) production technology packages in Northwest Ethiopia. Cogent Economics & Finance, 10(1). https://doi.org/10.1080/23322039.2021.2013587
  • Minkoua, J. R., Bidogeza, J. C., & Nkwah, A. N. (2018). Mobile phone use, transaction costs, and price: Evidence from rural Vegetable farmers in Cameroon. Journal of African Business, 19(3), 323–342. https://doi.org/10.1080/15228916.2017.1405704
  • Mujeyi, A., Mudhara, M., & Mutenje, M. J. (2022). Adoption patterns of Climate-Smart Agriculture in integrated crop-livestock smallholder farming systems of Zimbabwe. Climate and Development, 14(5), 399–408. https://doi.org/10.1080/17565529.2021.1930507
  • Murage, A., Obare, G., Chianu, J., Amudavi, D., Midega, C., Pickett, J., & Khan, J. A. (2012). Effectiveness of dissemination pathways on adoption of “Push-Pull” technology in Western Kenya. Quarterly Journal of International Agriculture, 51(1), 51–71.
  • Mwangi, M., & Kariuki, S. (2015). Factors determining adoption of new agricultural technology by smallholder farmers in developing countries. Journal of Economics & Sustainable Development, 6(5), 208–216.
  • Mwaura, G. G., Kiboi, M. N., Bett, E. K., Mugwe, J. N., Muriuki, A., Nicolay, G., & Ngetich, F. K. (2021). Adoption intensity of selected organic-based soil fertility management technologies in the central highlands of Kenya. Frontiers in Sustainable Food Systems, 4, 570190. https://doi.org/10.3389/fsufs.2020.570190
  • Mwenda, E., Muange, E. N., & Ngigi, M. W. (2022). Determinants of adoption of ICT-Based pest information services by Tomato farmers in the central highlands of Kenya. Journal of African Interdisciplinary Studies, 6(4), 18–36.
  • Mwita, E. M., Mburu, J., Elizaphan, R., Oburu, J., Okeyo, M., & Kahumbu, S. (2020). Impact of ICT based extension services on dairy production and household Welfare: The case of iCow service in Kenya. Journal of Agricultural Science, 12(3), 141. https://doi.org/10.5539/jas.v12n3p141
  • Nakasone, E. (2013). The role of price information in agricultural markets: Experimental evidence from rural Peru. University of Maryland.
  • Namara, E., Weligamage, P., & Barker, R. (2003). Prospects for adopting system of rice intensification in Sri Lanka: A socioeconomic assessment. Research Report 75. International Water Management Institute.
  • Norton, G. W., & Alwang, J. (2020). Changes in agricultural extension and implications for farmer adoption of new practices. Applied Economic Perspectives and Policy, 42(1), 8–20. https://doi.org/10.1002/aepp.13008
  • Ochieng, G. O., Muendo, K., & Mbeche, R. M. (2020). Smallholder dairy production, motivations, perceptions and challenges in Nyandarua and Nakuru Counties, Kenya. IOSR Journal of Agriculture and Veterinary Science, 13(1), 42–50.
  • Okello, J. J., Kirui, O. K., Njiraini, G. W., & Gitonga, Z. M. (2012). Drivers of use of information and Communication technologies by farm households: The case of smallholder farmers in Kenya. Journal of Agricultural Science, 4(2), 111. https://doi.org/10.5539/jas.v4n2p111
  • Okoroji, V., Lees, N. J., & Lucock, X. (2021). Factors affecting the adoption of mobile applications by farmers: An empirical investigation. African Journal of Agricultural Research, 17(1), 19–29. https://doi.org/10.5897/AJAR2020.14909
  • Oluoch-Kosura, W. A., Marenya, P. P., & Nzuma, M. J. (2001). Soil fertility management in maize-based production systems in Kenya: Current options and future strategies. Proceedings of the Seventh Eastern and Southern Africa Regional Maize Conference, 11-15th February, 2001, Nairobi, Kenya (pp. 350–355).
  • Olusayo, O., Adebayo, O., Kayode, S. K., Olagunju, K., Ayodeji, I., & Ogundipe, A. A. (2019). Small-scale farming, agricultural productivity and poverty reduction in Nigeria: The enabling role of agricultural technology adoption. Journal of Agriculture and Ecology Research International, 1–15. https://doi.org/10.9734/jaeri/2019/v19i130074
  • Omulo, G., & Kumeh, E. M. (2020). Farmer-to-farmer digital network as a strategy to strengthen agricultural performance in Kenya: A research note on ‘wefarm’ platform. Technological Forecasting & Social Change, 158, 158. https://doi.org/10.1016/j.techfore.2020.120120
  • Ouédraogo, M., Houessionon, P., Zougmoré, R. B., & Partey, S. T. (2019). Uptake of climate-smart agricultural technologies and practices: Actual and potential adoption rates in the climate-smart village site of Mali. Sustainability, 11(17), 4710. https://doi.org/10.3390/su11174710
  • Patel, K. M. (2018), “Use of ICT resources and services at state university libraries in Gujarat”, PhD thesis.
  • Paustian, M., & Theuvsen, L. (2017). Adoption of precision agriculture technologies by German crop farmers. Precision Agriculture, 18(5), 701–716. https://doi.org/10.1007/s11119-016-9482-5
  • Quandt, A., Salerno, J. D., Neff, J. C., Baird, T. D., Herrick, J. E., McCabe, J. T., Xu, E., & Hartter, J. (2020). Mobile phone use is associated with higher smallholder agricultural productivity in Tanzania, East Africa. PLoS One, 15(8), e0237337. https://doi.org/10.1371/journal.pone.0237337
  • Ragasaa, C., & Mazundab, J. (2018). The impact of agricultural extension services in the context of a heavily subsidized input system: The case of Malawi. World Development, 105, 25–47. https://doi.org/10.1016/j.worlddev.2017.12.004
  • Rawlins, R., Pimkina, S., Barrett, C. B., Pedersen, S., & Wydick, B. (2014). Got milk? The impact of Heifer International’s livestock donation programs in Rwanda on nutritional outcomes. Food Policy, 44, 202–213. https://doi.org/10.1016/j.foodpol.2013.12.003
  • Rehman, A., Chandio, A. A., Hussain, I., & Jingdong, L. (2019). Fertilizer consumption, water availability and credit distribution: Major factors affecting agricultural productivity in Pakistan. Journal of the Saudi Society of Agricultural Sciences, 18(3), 269–274. https://doi.org/10.1016/j.jssas.2017.08.002
  • Rehman, A., Jingdong, L., Khatoon, R., Hussain, I., & Iqbal, M. S. (2016). Modern agricultural technology adoption its importance, role and usage for the improvement of agriculture. Life Science Journal, 14(2), 70–74.
  • Simtowe, F., Asfaw, S., & Abate, T. (2016). Determinants of agricultural technology adoption under partial population awareness: The case of pigeon pea in Malawi. Agricultural and Food Economics, 4(1), 1–21. https://doi.org/10.1186/s40100-016-0051-z
  • Surabhi, M., & Mamta, M. (2016). Socio-economic factors affecting adoption of modern information and Communication technology by farmers in India: Analysis using multivariate Probit model. The Journal of Agricultural Education and Extension, 22(2), 199–212. https://doi.org/10.1080/1389224X.2014.997255
  • Tadesse, G., & Bahiigwa, G. (2015). Mobile phones and farmers’ marketing decisions in Ethiopia. Elsevier, World Development, 68, 296–307. https://doi.org/10.1016/j.worlddev.2014.12.010
  • Tharaka Nithi County Integrated Plan. (2018–2022).
  • Thar, S. P., Ramilan, T., Farquharson, R. J., Pang, A., & Chen, D. (2021). An empirical analysis of the use of agricultural mobile applications among smallholder farmers in Myanmar. Electron Journal of Information Systems in Developing Ctries, 87(2). https://doi.org/10.1002/isd2.12159
  • Thiam, S. M. B., & Matofari, J. W. (2018). The role of information and Communication sharing pathway in improving Peri-Urban dairy System of Bamako, Mali. American Journal of Science, Engineering and Technology, 3(1), 21. https://doi.org/10.11648/j.ajset.20180301.13
  • Udimal, T. B., Jincai, Z., Mensah, O. S., & Caesar, A. E. (2017). Factors influencing the agricultural technology adoption: The case of improved rice varieties (Nerica) in the Northern region, Ghana. Journal of Economics & Sustainable Development, 8(8), 137–148.
  • Wooldridge, J. M. (2020). Introductory econometrics. Pearson.
  • Workineh, A., Tayech, L., & Ehite, H. (2020). Agricultural technology adoption and its impact on smallholder farmers’ welfare in Ethiopia. African Journal of Agricultural Research, 15(3), 431–445. https://doi.org/10.5897/AJAR2019.14302
  • World Bank Group. (2017). ICT in Agriculture: Connecting smallholders to knowledge, networks, and institutions (Updated). International Bank for Reconstruction and Development. https://doi.org/10.1596/978-1-4648-1002-2
  • Wu, F., & Licata, M. (2022). Adoption and income effects of new agricultural technology on family farms in China. PLoS ONE, 17(4), 4. https://doi.org/10.1371/journal.pone.0267101
  • Wyche, S., Densmore, M., & Geyer, B. S. (2015). Real mobiles: Kenyan and Zambian smallholder farmers’ current attitudes towards mobile phones. In ICTD '15: Proceedings of the Seventh International Conference on Information and Communication Technologies and Development, May 15-18, 2015, Singapore (pp. 1–10). Association for Computing Machinery.
  • Wyche, S., Simiyu, N., & Othieno, M. E. (2019). Understanding women’s mobile phone use in rural Kenya: An affordance-based approach. Mobile Media & Communication, 7(1), 94–110. https://doi.org/10.1177/2050157918776684
  • Wyche, S., & Steinfield, C. (2016). Why Don’t farmers use cell phones to access market prices? Technology affordances and barriers to market information services adoption in rural Kenya. Information Technology for Development, 22(2), 320–333. https://doi.org/10.1080/02681102.2015.1048184
  • Xie, H., & Huang, Y. (2021). Influencing factors of farmers’ adoption of pro-environmental agricultural technologies in China: Meta-analysis. Land Use Policy, 109, 105622. https://doi.org/10.1016/j.landusepol.2021.105622
  • Zegeye, M. B., Fikrie, A. H., & Asefa, A. B. (2022). Impact of agricultural technology adoption on wheat productivity: Evidence from north Shewa zone, Amhara region, Ethiopia. Cogent Economics & Finance, 10(1), 1. https://doi.org/10.1080/23322039.2022.2101223
  • Zeleke, B. D., Geleto, A. K., Komicha, H. H., Asefa, S., & Zhang, X. (2021). Determinants of adopting improved bread wheat varieties in Arsi Highland, Oromia region, Ethiopia: A double-hurdle approach. Cogent Economics & Finance, 9(1). https://doi.org/10.1080/23322039.2021.1932040