Toward e-agriculture in Ghana: Effect of mobile phone access and usage on household crop income

References

• Abdul‐rahaman, A., & Abdulai, A. (2021). Mobile money adoption, input use, and farm output among smallholder rice farmers in Ghana. Agribusiness, 38(1), 1–13. https://doi.org/10.1002/agr.21721
   Web of Science ®Google Scholar
• Akinola, A. A. (2017). Influence of socio-economic factors on farmers’ use of mobile phones for agricultural information in Nigeria. Library Philosophy and Practice, 1688, 1–14.
   Google Scholar
• Aminou, F. A. A., Houensou, D. A., & Hekponhoue, S. (2018). Effect of mobile phone ownership on agricultural productivity in Benin: The case of maize farmers. Journal of Economics, 6(4), 77–88.
   Google Scholar
• Asif, A. S., Uddin, M. N., Dev, D. S., & Miah, M. A. M. (2017). Factors affecting mobile phone usage by the farmers in receiving information on vegetable cultivation in Bangladesh. Journal of Agricultural Informatics, 8(2). https://doi.org/10.17700/jai.2017.8.2.376
   Google Scholar
• Awuor, F., Raburu, G., Onditi, A. A., & Rambim, D. (2016). Building e-agriculture framework in Kenya. Journal of Agricultural Informatics, 7(1), 75–93. https://doi.org/10.17700/jai.2016.7.1.244
   Google Scholar
• Canton, H. (2021). Food and Agriculture Organization of the United Nations—FAO. In The Europa directory of international organizations 2021 (pp. 297–305). Routledge.
   Google Scholar
• Deb, P., & Trivedi, P. K. (2006a). Maximum simulated likelihood estimation of a negative binomial regression model with multinomial endogenous treatment. The Stata Journal, 6(2), 246–255. https://doi.org/10.1177/1536867x0600600206
   Web of Science ®Google Scholar
• Deb, P., & Trivedi, P. K. (2006b). Specification and simulated likelihood estimation of a non-normal treatment-outcome model with selection: Application to health care utilization. The Econometrics Journal, 9(2), 307–331. https://doi.org/10.1111/j.1368-423X.2006.00187.x
   Web of Science ®Google Scholar
• DiFalco, S., & Veronesi, M. (2013). How can African agriculture adapt to climate change? A counterfactual analysis from Ethiopia. Land Economics, 89(4), 743–766. https://doi.org/10.3368/le.89.4.743
   Web of Science ®Google Scholar
• DiFalco, S., Veronesi, M., & Yesuf, M. (2011). Does adaptation to climate change provide food security? A micro-perspective from Ethiopia. American Journal of Agricultural Economics, 93(3), 825–842. https://doi.org/10.1093/ajae/aar006
   Web of Science ®Google Scholar
• Food and Agriculture Organization of the United Nations [FAO] and the International Telecommunication Union [ITU] [(2017) E-agriculture strategy guide. http://www.fao.org/asiapacific/resources/e-agriculture.
   Google Scholar
• Gebremariam, G., & Wünscher, T. (2016). Combining sustainable agricultural practices pays off: evidence on welfare effects from Northern Ghana. Invited Paper Presented at the 5th International Conference of the African Association of Agricultural Economists, September 23-26, 2016, 1–37.
   Google Scholar
• Ghana Statistical Service. (2021). Population and Housing Census: Provisional Results, September, 1–7. https://statsghana.gov.gh/gssmain/storage/img/infobank/2021PHCProvisionalResultsPressRelease.pdf
   Google Scholar
• Hoang, H. G. (2020). Determinants of the adoption of mobile phones for fruit marketing by Vietnamese farmers. World Development Perspectives, 17, 100178. https://doi.org/10.1016/j.wdp.2020.100178
   Google Scholar
• Issahaku, H., Abu, B. M., & Nkegbe, P. K. (2017). 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
   Web of Science ®Google Scholar
• Karimuribo, E. D., Batamuzi, E. K., Massawe, L. B., Silayo, R. S., Mgongo, F. O. K., Kimbita, E., & Wambura, R. M. (2016). Potential use of mobile phones in improving animal health service delivery in underserved rural areas: Experience from Kilosa and Gairo districts in Tanzania. BMC Veterinary Research, 12(1), 1–6. https://doi.org/10.1186/s12917-016-0860-z
   PubMedGoogle Scholar
• Khan, N. A., Qijie, G., Sertse, S. F., Nabi, M. N., & Khan, P. (2020). Farmers’ use of mobile phone-based farm advisory services in Punjab, Pakistan. Information Development, 36(3), 390–402. https://doi.org/10.1177/0266666919864126
   Web of Science ®Google Scholar
• Manda, J., Alene, A. D., Gardebroek, C., Kassie, M., & Tembo, G. (2016). Adoption and impacts of sustainable agricultural practices on maize yields and incomes: Evidence from rural Zambia. Journal of Agricultural Economics, 67(1), 130–153. https://doi.org/10.1111/1477-9552.12127
   Web of Science ®Google Scholar
• Ministry of Food and Agriculture [MoFA]. (2017). Planting for food and jobs. Strategic plan for implementation (2017-2020). MoFA.
   Google Scholar
• National Communications Authority & Ghana Statistical Service. (2020). Household survey on ICT in Ghana. Abridged Report, March 2020. Available at https://statsghana.gov.gh/gssmain/fileUpload/pressrelease/Household%20Survey%20on%20ICT%20in%20Ghana%20Abridged%20new%201.pdf.
   Google Scholar
• Neudert, R., Allahverdiyeva, N., Mammadov, N., Didebulidze, A., & Beckmann, V. (2020). Diversification of livestock-keeping smallholders in mountainous rural regions of Azerbaijan and Georgia. Land, 9(8), 1–23. https://doi.org/10.3390/LAND9080267
   Web of Science ®Google Scholar
• Nwanma, V. (2021) Agriculture as oxygen for African economies, https://dailytrust.com/agriculture-as-oxygen-for-african-economies
   Google Scholar
• Nyamba, S. Y., & Mlozi, M. R. S. (2012). Factors Influencing the use of mobile phones in communicating agricultural information: A case of Kilolo District, Iringa. Tanzania, 2(7), 558–563.
   Google Scholar
• Nyarko, D. A., & Kozári, J. (2021). Information and communication technologies (ICTs) usage among agricultural extension officers and its impact on extension delivery in Ghana. Journal of the Saudi Society of Agricultural Sciences, 20(3), 164–172. https://doi.org/10.1016/j.jssas.2021.01.002
   Google Scholar
• Okediran, O. O., & Ganiyu, R. A. (2019). E-agriculture reviewed: Theories, concepts and trends. FUOYE Journal of Engineering and Technology, 4(1), 125–130. https://doi.org/10.46792/fuoyejet.v4i1.366
   Google Scholar
• Oyakhilomen, O. (2014). Gender influence on the income of maize farmers in Giwa Local Government area of Kaduna State. Russian Journal of Agricultural and Socio-Economic Sciences, 25(1), 14–18. https://doi.org/10.18551/rjoas.2014-01.03
   Google Scholar
• 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
   PubMed Web of Science ®Google Scholar
• Teenstra, E., Andeweg, K., & Vellinga, T. (2016). Manure helps feed the world: Integrated manure management demonstrates manure is a valuable resource, livestock research. Wageningen University and Research.
   Google Scholar